I take classes at a local Pilates studio at least once a week. After signing up for a class through an app, I get SMS updates communicating class changes and reminders. My favorite kind of text is the one letting me know I’ve been moved off the waitlist and into the class. These real-time updates wouldn’t be possible without customer service texting software.

Customer service texting, or SMS customer service, is an essential part of an omnichannel messaging strategy and an increasingly important element of customer service overall. And when customer service is critical to the rest of the business’s success, SMS software is not something to overlook.

Table of Contents

• What is customer service texting software?
• How does customer service texting software work?
• 10 Best Customer Service Texting Software

What is customer service texting software?

Customer service texting software is a program or platform that allows businesses to communicate directly with customers via text messages. Also known as SMS customer service, this form of communication enables businesses to answer customer questions, resolve issues, share appointment reminders, or send order updates in a way that’s convenient for everyone involved.

Including SMS in your customer service strategy — in addition to phone, email, social media, and live chat — allows you to meet customers wherever they are. Taking an omnichannel approach is key to providing good customer service.

Not only does texting provide instant support when customers need it — which can be a fast and convenient way to resolve an issue when they have a question — but it also enables agents to help customers asynchronously. Helping customers over text is much more efficient than talking on the phone, which means agents can handle more tickets in one day. This, combined with the automation that customer service texting software provides, helps your company save time and money. And if you want to learn more about how those intertwine, check out our 2024 State of Customer Service report.

How does customer service texting software work?

Customer service texting software works like other tools in your tech stack. Once you set up a business number or enable texts on your existing one, you can use your software to create and send messages to your contacts. The software can be standalone, or you can choose one that integrates with other tools to create a connected workflow, like the HubSpot’s customer service software.

Most SMS services offer mass texting, two-way conversations, and sometimes MMS (multimedia messaging service), which enables you to send images and GIFs. If you’re focused on using SMS for customer service purposes, the ability to have two-way conversations is the most important feature to look for — especially when you consider that 61% of consumers want the ability to text a business back.

If you have a business landline, you can text-enable your existing number. Or, you can choose a new 10-digit local or 800 number. You can also opt for a five to six-digit short code.

Once you have your SMS number and your software set up, you are ready to start helping customers over text.

10 Best Customer Service Texting Software

I receive texts from businesses all the time, but I never thought about how they could actually text me until I started looking into customer service texting software.

Here are some of the top customer service texting services I found for a range of industries and businesses of all sizes.

1. SimpleTexting

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As its name implies, SimpleTexting makes SMS conversations easy for businesses of all sizes. Whether you want to send product updates or marketing announcements to a list of 500 people or engage in two-way conversations to resolve a customer inquiry, you can do it all in one dashboard.

Some of SimpleTexting’s helpful customer service features include templates for saved replies, self-cleaning lists, link shortening and tracking, and polls. SimpleTexting also makes it easy to launch your texting strategy, even if you’re starting from scratch, by offering multiple options for setting up a number to text from.

What I like: The idea of sending a text to your customers can feel daunting if you haven’t done it before. That’s why I appreciate that SimpleTexting’s free trial allows you to text your own number *first* to see how it all works.

2. Textline

Textline is a popular customer service texting platform that offers secure ways to send bulk SMS, collaborate via group messages, send media attachments, and have two-way conversations. Textline’s pricing plans support anywhere from three to 50 agents, making it a smart SMS software for teams of all sizes.

Plus, Textline integrates with tons of tools that your support team likely already uses, such as HubSpot and Slack, making it easy to create a seamless workflow.

What I like: With Textline, you can send text surveys to directly collect feedback from customers and ultimately improve the customer support process.

3. EZ Texting

EZ Texting is an SMS marketing service used by teams in marketing, sales, operations, and customer service. Plans include unlimited two-way texting and incoming messages, which means you don’t have to worry about missing a customer inquiry.

One of my favorite features of EZ Texting is AI Compose, which uses generative AI to help compose personalized texts for your audience. Using AI to help generate texts is the fastest way to scale your customer service texting operations.

Pro: If you plan to send MMS or multimedia content, you can tap into EZ Texting’s massive library with millions of free images from Shutterstock. There’s even an image editing tool.

4. Twilio

If you’re tech-savvy, consider using Twilio’s SMS API. Geared toward developers, Twilio offers an API that can be used to build your own messaging system, making it a customizable solution.

With Twilio, you can send and receive text messages at scale, and the pricing structure is pay-as-you-go, so you only pay for what you use. This can be a cost-effective way to scale your customer service texting strategy as long as you know how to use the API or have a developer on your team who does.

Best for: Twilio is a developer-friendly SMS tool, so it’s best for those with technical skills.

5. Textedly

Textedly is an SMS marketing service equipped for a range of industries, from retail and restaurants to schools and nonprofit organizations. All of the Textedly plans include unlimited contacts, free incoming messages, picture messaging, one toll-free number, and one 10-digit phone number (10DLC).

While the service is geared toward SMS marketing, Textedly enables businesses to conduct customer service through its two-way texting, personalized messages, and text message analytics. It also helps businesses collect customer feedback by enabling review requests sent through text. This can be a helpful way to automate the process and generate more Google reviews for your business in the process.

Pro: Textedly integrates with over 3,000 apps like HubSpot, Mailchimp, Shopify, and Facebook, so you can connect every tool in your workflow to save time.

6. Heymarket

Heymarket is a business texting platform that lets you connect with customers, leads, and employees on SMS and popular messaging apps like Facebook Messenger, WhatsApp, and Instagram.

Some of Heymarket’s most helpful features for customer service include automated texting through keyword-triggered responses and a shared inbox so your support team can tackle multiple ticket requests at one time. Heymarket also offers AI-assisted messaging so you can create responses faster and more efficiently.

What I like: Heymarket’s AI-assisted messaging helps translate messages in English, French, Spanish, and Chinese which enables your support team to help even more people.

7. Textmagic

If you’re looking for an all-in-one business texting solution, Textmagic is another great option. The platform offers two-way texting, mass texts, SMS marketing, and SMS surveys. Plus, it integrates with other support channels so your support team can take an omnichannel approach to customer service.

Textmagic’s pricing structure is a prepaid service. You choose a credit package based on how many texts you plan to use and only pay for texts you send or receive. Add-on features include dedicated virtual numbers, the ability to send MMS, and voice calls.

Pro: In addition to texting, Textmagic makes it easy to use email or voice for customer service interactions so your team can help customers in whatever way is most convenient for them.

8. MessageDesk

MessageDesk is an SMS inbox for business texting. Like other texting platforms, MessageDesk enables you to text-enable your existing business landline or VoIP phone number or sign up for a new local number.

The platform’s main feature is the team inbox. The shared inbox allows your support team to manage conversations together from one phone number, which helps boost visibility and organization across the customer service team.

Con: You have to talk to a member of the sales team to get started, which may deter some people who prefer self-service.

9. Google Voice

Looking for a no-frills business texting option? With unlimited texting and plans that start at just $10 per month, Google Voice is a great option for small businesses and individuals who aren’t looking to add another tool to their tech stack.

As part of Google Workspace, Google Voice is an easy way to set up business communications within your current workflow. Voice integrates with Google Meet and Calendar, so all of your business communications are synched. If you’re already familiar with the Google Workspace interface, you’ll have no issues navigating Google Voice.

Best for: Google Voice is an easy, budget-friendly option for small businesses or individuals looking to set up business calling and texting, especially if you already use Google Workspace products.

10. OpenPhone

If you’re looking for a full-scale communication system, OpenPhone is a business phone system that includes texting. Some of OpenPhone’s most helpful features for customer service texting include auto-replies, saved message templates, and internal threads so your customer support team can handle inquiries behind the scenes.

All OpenPhone plans include unlimited calling and texting in the US and Canada, and they start at $15 per user per month.

Best for: Businesses who prioritize both calling and texting will benefit from one connected system under OpenPhone.

Use SMS Support to Meet Customers Where They Are

Customer expectations have evolved with the technology that’s available to them. The more time people spend on their phones, the more likely it is that they’ll want to interact with businesses in the same way.

In my experience, the customer service interactions that were the most positive and memorable for me were the ones that were resolved quickly by friendly and supportive customer service agents. I can’t think of a better way to do this than through texting (because, yes, I am a millennial who hates talking on the phone).

Your business needs to be equipped with SMS support to meet customers where they are and address their issues in a way that’s convenient for them. Customer service texting software enables your support team to resolve tickets swiftly and efficiently without spending all of their time on the phone, which benefits everyone involved.

Customer experience (CX) is the impression you leave with your customers, which results in how they think of you as a brand and ultimately creates brand loyalty. And if I know one thing about customer experience it’s this: measuring with customer experience metrics is important if you want to boost customer retention.

Customer experience tracking can help you improve your practices to cater to the entire customer experience. I like to track certain metrics such as how quickly I can solve a customer’s problem. The quicker I can solve a problem, the more likely a client will stick with my business.

As a small business owner, I’ve learned that positive customer experiences can lead to repeat business, and it’s easier and less costly for my business (and yours!) to retain clients than to seek out new customers.

In fact, 49% of customers are likely to leave a company based on a poor customer experience with the brand. So by lowering the customer effort score (CES) by providing simple, easy-to-use products and services means 76% of customers are more likely to recommend my brand to others.

With that in mind, let’s review the top metrics you can use to measure — and improve — the customer experience.

Jump ahead:

• What is customer experience?
• Measuring Customer Experience
• Customer Experience Metrics
• How to Accurately Measure Customer Experience

What is customer experience?

Customer experience (CX) is the journey or combination of interactions a customer or potential customer has with a business.

For me, it’s helpful to think that a customer’s experience starts from the very moment a client becomes aware of my business and follows the purchasing process. Plus, CX includes the weeks, months, or even years later that a customer uses my product or service.

If your business is like mine, you probably work hard to get a customer in the door to make a purchase. But, it’s important to look at the whole picture, too. That might mean providing support to your customers, even years down the line.

Why is this extra effort and money worth it to the business? It costs more money to add a new customer than to retain an existing one, and 65% of people say they’d ditch a brand after a poor experience.

Yikes. I don’t know about you, but I don’t want to end up with a negative review that may deter other customers from doing business with me. Negative customer experiences can be costly!

Measuring Customer Experience

Surveys, journey maps, and a variety of other metrics are necessary for measuring CX. If you meticulously track your metrics, this process is complex and can span several years for some customers. But just because it’s complex and time-consuming doesn’t mean you should write it off. You need this data!

I like to think of customer experience as a puzzle. Customer service is just one piece of the puzzle. You want clients to have positive reactions to your advertising and marketing efforts. They should have an easy time using your products or services. And they should get quick responses from your team. Each of these things are pieces that make your customer experience a positive one.

Ways to Measure Customer Experience

I love surveys, and surveys are one of many ways to measure CX. We’ll dive into specific surveys that help measure customer experience in a few, I promise. However, there are tons of ways you can survey your customers.

For example, you may send out surveys after a customer makes a purchase or interacts with your support line. You might survey clients for feedback on a new product or service. Engaging with customers through surveys can help you get an idea of your business strengths and areas where you can improve.

Creating customer journey maps is another way to measure CX. If you’re nosey like me, customer journey maps can help you figure out how your customers are feeling and why they respond to your business in the way that they do.

This process tracks a customer‘s interactions and can help you pinpoint why a customer doesn’t follow through on a sale or chooses one product over a different one you offer.

For example, you might notice a customer finds you through a social media ad, goes to your website and fills their shopping cart, then doesn’t end up making a purchase. A journey map helps you visualize the customer experience and find points of friction based on customer actions and emotions.

Although 20% of service professionals who responded to HubSpot’s State of Service survey say that measuring the impact of their team’s efforts is challenging, there are plenty of metrics you can use for customer experience tracking. You can (and should!) use a variety of CX metrics together for the most complete picture of the customer’s journey with your brand.

As highlighted above, let’s discuss eight key metrics in more detail. Plus, I chatted with a few experts who graciously shared how they use these metrics to effectively improve their customers’ experience. (It’s okay to steal their ideas!) This should help you get a better idea of how to use these metrics in your own business.

1. Customer Satisfaction Score (CSAT)

31% of service professionals who responded to HubSpot’s State of Service survey said one of their goals is to increase their customer satisfaction score. Personally, I’ve found that the Customer Satisfaction Score (CSAT) is one of the most straightforward ways of measuring your customer experience.

While typically used as a customer service metric, CSAT can also give you an idea of the customer experience, considering support interactions are one major component of CX. This is a simple survey that gauges how satisfied a client is following an interaction with your business.

I’m sure you’ve seen CSAT in action. Think of those surveys at the end of customer service calls.

For example, after a customer talks to a live representative via online chat, they can rank the support agent’s response based on how satisfied or helpful the solutions are. Or, after a client purchases a product or service, you can ask how satisfied they are with that product or service.

Calculating CSAT

To calculate CSAT, all you need to do is send a survey immediately following a purchase or interaction. This survey will ask how satisfied a customer is with their experience on a corresponding scale. The CSAT is the average score of that survey.

Featured Resource: Customer Survey Templates

Download for Free

Pro Tip: Edita Vaskeviciute, Director of Customer Support at Omnisend, says her team relies on the CSAT.

“We use the Customer Satisfaction Score (CSAT) to measure the satisfaction level of customers after contacting our customer support team regarding inquiries or issues with the Omnisend product,” Vaskeviciute says. 

This enables her team to identify areas for improvement, track customer sentiment over time, and make data-driven decisions to enhance the overall customer experience.

“The best tip is to listen to your customers, consistently analyze the feedback they provide, and use it to improve your products, services, and support processes,” Vaskeviciute notes

2. Net Promoter Score (NPS)

Net Promoter Score (NPS) is one of the main methods to measure customer experience. Your NPS will let you know the percentage of customers that love, are neutral, or aren’t a fan of your brand. I understand that it might sting to learn that some customers aren’t a fan of your brand, but this information is vital so that you can make crucial changes to improve the customer experience.

Calculating NPS

To calculate NPS, you’ll send a survey to your customers with an NPS question asking them how likely they are to recommend you to a friend, on a scale of 0-10. Scores 0-6 are detractors, scores 7-8 are passives, and scores 9-10 are promoters.

Your NPS is the percentage of detractor responses subtracted from promoter responses.

With this score, you can instantly tell how many customers are happy enough with their customer experience that they’ve become ambassadors for your brand.

Featured Resource: Net Promoter Score Calculator

Download for Free

Pro Tip: Paige Arnof-Fenn, Founder & CEO at Mavens & Moguls, says that although the net promoter score isn’t a perfect indicator of the customer experience, it’s still a beneficial metric.

According to Arnof-Fenn, NPS is a simple way to get a quick read on consumer sentiment, allowing it to be widely embraced and implemented to make sure their customers are happy. And even though NPS is not a perfect tool, it’s still valuable to companies where most business comes from word of mouth.

“Customer satisfaction and NPS matter because repeat customers and referrals are key, the most cost-efficient way to build a business and scale your brand in my experience. Would they recommend it to others? This is important to understand for insights into why your brand matters,” Arnof-Fenn says.

3. Customer Effort Score (CES)

If your customers are anything like me, they want simple interactions. Your website should be easy to navigate. Your products should be easy to assemble and use. And your customer service team should be easy to connect with for the client.

You can use a Customer Effort Score (CES) survey to allow customers to rank an interaction with a company or its products and services as easy, neutral, or difficult.

Calculating CES

To calculate CES, you take the sum of your customer effort ratings and divide it by the total number of survey responses you received.

If customers are ranking a product difficult to use, you want to innovate ways to make it more user-friendly. Like if it‘s hard to find the menu on your website, you’ll need to redesign the site or install a simpler template to improve the CX.

Pro Tip: Will Yang, Head of Growth and Marketing of Instrumentl, says his team keeps track of the customer effort score to measure their customer’s effort levels when it comes to interacting with the company.

“The customer effort score (CES) helps us measure how easy it is for customers to deal with our company. High customer effort leads to dissatisfaction and affects loyalty. The use of CES in identifying the pain points along our customer journey aids in streamlining our processes and making interactions more effortless. This analysis often results in simplified user interfaces and fewer steps involved in critical processes.” Yangl says,

4. Customer Lifetime Value (CLV)

Customer Lifetime Value (CLV) tells you how much one customer has brought to a business in the entire relationship. In other words, how much they’re “worth” to a business. The calculation also takes into account how much a business is spending to keep that customer.

It’s a good customer experience metric because you can see over time whether a customer is satisfied and making more purchases or if they spend less with your business.

Calculating CLV

To calculate CLV, you multiply the customer value times the average customer lifespan.

Typically, the better the CX, the higher the CLV. But if you start to see the customer spend less over time, you can determine why and create solutions to raise the CLV.

Pro Tip: Tom Golubovich, Head of Marketing at Ninja Transfers, says the customer lifetime value is an important metric for his customer experience team.

Golubovich says, “Customer lifetime value is important to us as we were one of the first companies to bring DTF Transfers to market. We want to ensure that our customers remain loyal and continue to come back time and time again.”

Golubovich notes that his team looks at customer reorders by account and the customers who have signed up for the “Ninja Rewards” program. “Ninja Rewards” is a loyalty program that allows customers to 5x points on every order while accessing promotional rewards. 

“We identified who were the most valuable customers to our business not just by looking at the customer lifetime value of existing orders and making projections but by sending out a survey and having customers self-identify … how much they were looking to spend on DTF transfers within the next 12 months,” Golubovich says. 

According to Golubovich, this allows his team to pivot our marketing strategies to focus on this more lucrative demographic.

5. Customer Churn Rate

Churn rate is the percentage of your customers or subscribers who cancel or don’t renew their subscriptions during a given time period.

20% of service professionals find it challenging to prevent customer churn. While churn is inevitable, it’s still important that you learn why churn is happening in your company so you can reduce it as much as possible.

Calculating Churn Rate

To calculate your churn rate, designate a time period and tally up the total number of customers you’ve acquired and the number of customers who churned during that time period.

Then, divide the number of customers who churned by the total number of customers acquired, and multiply that decimal by 100% to calculate your churn rate.

This metric should help you nail down why customers are leaving. Is it because of a lack of engagement? A poor user experience? Or perhaps it’s a lack of support? Either way, measuring and analyzing your churn rate will help you figure out how to reduce it.

Pro Tip: Derek Bruce, Operations Director at First Aid at Work Course, understands how useful the customer churn rate is to any business.

“A recent report suggested that a 5% drop in churn can increase profit by 125%, so this is an important area for improvement,” Bruce says. “A high churn rate soon after initial training might indicate an absence of value in the post-training support, so we introduced follow-up webinars and refresher courses, reducing our churn by 4.8% within 12 months.”

In the early years, Bruce says his team focused on the acquisition of new customers as opposed to the retention of old customers, which led to a temporary increase in churn.

“An important learning was that retention of customers is as important, if not more so, than continually acquiring new ones,” he says.

6. Customer Retention Rate

Customer retention rate is essentially the opposite of the churn rate, and 31% of service professionals say increasing customer retention is an important goal of theirs. This CX metric measures how many customers a business retains over a set period of time and helps determine customer loyalty.

Retention rate is slightly more challenging to calculate, though, because you will need to take into account the customers you retained, the customers you lost, and the customers you gained in a set period of time.

Calculating Retention Rate

To calculate retention rate:

• Set the time period, which could be a week, a month, a year, etc.
• Start with the number of customers you have at the end of that set time period.
• Subtract new customers gained during the set time period.
• Divide the resulting number by the number of clients you had at the beginning of the time period.
• Multiply the result by 100 to get a percentage.

Ideally, you want a high retention rate while also bringing in new clients that later become loyal customers. If you have a low retention rate but high sales, you’ll want to determine why customers are making one or few purchases and then leaving your business.

Pro Tip: Joel Wolfe, President of HiredSupport, keeps a regular check on their customer retention rate. This helps his team understand the degree of satisfaction that customers drive from HiredSupport’s products. 

“It’s a great way to understand what needs to be improved and what’s causing low retention rates. A great way to measure this metric is choosing a specific time period for analysis. It can be monthly, quarterly, or even annually, depending on the business cycle,” Wolfe says.

7. Customer Journey Analytics

Another technique to measure the customer experience is to use your analytics to look at the customer journey. 23% of service professionals have made it their goal to better understand the customer journey for a better customer experience.

Your customer journey map can answer questions about customer motivations, needs, and pain points. It‘ll also help you understand all the touch points a customer experiences on their journey. And this is how you’ll gather your customer journey analytics.

Analyzing the Customer Journey

To analyze the customer journey, you’ll probably want to start by pulling data from your social media, ads, website, company events, product reviews, onboarding, customer loyalty programs, emails, and surveys. Then, you can create a page or tab on your customer journey map dedicated to reporting the metrics of your touch points, so you can evaluate your customer experience.

Featured Resource: Customer Journey Map Templates

Download for Free

Pro Tip: Most of the experts I chatted with had quite a bit to say about customer journey analytics, so that tells me this is one of the most important metrics you can gather.

Bruce says when his team collects customer journey analytics, they start by examining every touchpoint a customer has had with the brand, from the very first visit to the website to online course registration — all the way through to course completion and beyond. 

“It’s about really looking at how the customer is engaging with us. We must understand their journey so we can see where we can improve it,” Bruce says. 

For example, Bruce recently saw that, during the registration process for one online course, there was a very high drop-off rate. So, his team incorporated suggestions from their analytics and introduced a simplified registration form, as well as clear instructions on how to fill it in. This resulted in a 2.5% increase in course registrations. 

“We also once launched a marketing campaign promoting advanced first-aid training. The messaging of this campaign was not a good fit for our customer base, despite it being a very relevant course for our existing audience,” Bruce says.

Bruce notes that they had a lot of people signing up for the course because it was a hot topic, only to see a dip in the satisfaction scores afterward. Bruce notes that the messaging for the campaign resonated poorly with those who signed up. 

“Now, we have learned to tailor our communication strategies towards specific customer segments depending on their needs during different stages of their journey,” he says.

8. Customer Support Ticket Trends

48% of service professionals found that the number of customer service requests they received in 2023 increased. You can take a look at your customer support tickets to pinpoint trends impacting the customer experience.

Are there recurring issues that cause pain for your customers? If so, try to improve them as they come up. You might decide you need to create clearer instructions, explainer videos, or product tweaks because of the trends you identified.

Analyzing Customer Support Ticket Trends

Key customer support ticket metrics and trends to analyze are first response time, average handle time, and first call resolution. These analytics can help you improve the customer experience from a customer support perspective.

Pro Tip: Smitha Baliga, CEO/CFO of TeleDirect Communications, says looking at their customer support ticket trends is a great way to identify areas of need.

Baliga says, “[Customer support trend tickets] are reviewed to gain insights into ticket volumes, common issues, handle times, and resolution rates. This analysis helps us identify areas where we may need to provide more self-help resources, enhance our products, or provide additional training to deliver faster and more effective support.”

How to Accurately Measure Customer Experience

CX metrics are the key to effectively measuring the customer experience. You can use a combination of surveys, retention and churn rates, and customer trend data to determine how satisfied your customers are at every step of the journey — and whether or not they’re willing to come back or refer your brand to others.

Start customer experience tracking so you can make the business improvements necessary to retain more clients and generate more revenue.

Editor’s note: This article was originally published in October 2022 and has since been updated for comprehensiveness.

A few years ago, I checked into a flight the night before a trip and noticed a baggage charge. Surprised, since my rewards credit card usually covered this, I jumped to Google for an explanation. Like 81% of customers who try to solve issues themselves first, I scoured the airline’s FAQs and Reddit, but found no answers. Instead of packing, I spent my time searching until I finally found a 1-800 customer support number.

Taking a deep breath, I dialed. Navigating endless menus, enduring repetitive hold music, and repeating my issue to multiple agents, I grew increasingly frustrated. Then, I got disconnected and had to start over. It was a nightmare, leaving me thinking, “There has to be a better way.”

And there was.

AI customer service software, a solution that understands and values your time, was the answer to my customer service woes. AI customer service software has revolutionized how businesses interact with customers.

In this piece, we‘ll explore how AI reshapes customer service with top-tier software that promises efficiency, personalization, and satisfaction. Based on thorough research and hands-on demos, I’ll provide honest reviews to help you understand these tools and choose the best fit for your needs. Let‘s dive into how AI isn’t just changing the game — it’s redefining it.

Table of Contents:

• What Is AI Customer Service Software?
• Why Use AI Customer Service Software?
• The Best AI Customer Service Software

What Is AI Customer Service Software?

Imagine a world where customer service is swift, efficient, and available 24/7. Sounds like a dream. That’s the promise of an AI customer service platform. But what exactly is it?

AI customer service software leverages artificial intelligence to streamline and enhance how businesses interact with customers. For instance, imagine a customer contacting a company’s support team with a complex issue. The AI system, using machine learning, natural language processing, and data analytics, quickly understands the problem and provides a personalized solution. This starkly contrasts the traditional method, where the customer had to wait for a human agent to understand the issue and then offer a solution.

From chatbots handling routine questions to AI-driven analytics predicting customer needs, this tech is transforming the customer experience. HubSpot’s State of AI Survey shows that 71% of customer support specialists agree that AI/automation tools can help improve customers’ overall experience with their company.

AI customer service software is designed to enhance the customer experience. It aims to reduce wait times, provide accurate information, and personalize interactions. With AI-powered chatbots or virtual assistants, customers can get immediate responses instead of being put on hold. These intelligent tools can handle everything from answering FAQs to troubleshooting issues, freeing up human agents to tackle more complex problems.

An AI customer service platform isn‘t just about automating tasks — it’s about creating a seamless, satisfying customer journey. Let’s delve deeper into how it works and explore some of the top solutions available in the market today.

Why Use AI Customer Service Software?

Improved Response Time

One of the most significant benefits of AI customer service software is the drastic reduction in response time. I’ve seen firsthand how AI-powered chatbots can handle multiple inquiries simultaneously, providing instant responses that keep customers satisfied.

According to HubSpot’s research from the State of Service 2024 report, 80% of customers expect their service tickets and requests to be resolved immediately. This expectation is well-met with AI, as 46% of service professionals using AI customer service platforms report significantly improved response times, and another 46% report somewhat improved response times. AI ensures your business can meet these expectations, significantly improving overall customer satisfaction.

24/7 Availability

AI doesn’t need to sleep. One of the game-changing aspects of AI customer service software is its ability to provide support around the clock. We’ve all experienced how frustrating it can be to need help outside of regular business hours and not get it. AI eliminates this problem by offering 24/7 support, ensuring customers can get assistance whenever needed, which is especially helpful for businesses with a global customer base.

According to Salesforce’s State of the Connected Customer report, 77% of customers expect to interact with someone immediately when they contact a company. An AI customer service platform meets this demand, ensuring that every customer query is answered, regardless of the time of day.

Enhanced Personalization

I’ve always valued customer service that feels personal, and AI customer service software takes this to the next level. AI systems can help by analyzing customer data to provide customized responses and recommendations, significantly enhancing the customer experience. I’ve seen how AI can remember past conversations and preferences from my interactions, making every exchange feel unique and customized.

According to Zendesk, 59% of customers think businesses should personalize their experiences based on the data they’re collecting on them. And according to HubSpot data from the State of Service 2024 report, 78% of customer service professionals say customers expect more personalization than ever before.

By utilizing AI, businesses can provide a more personalized and engaging experience for their customers, ensuring they feel understood and valued every step of the

Increased Efficiency

Efficiency is another major advantage I’ve observed with AI customer service software.

AI is great at handling routine tasks, which means human agents can concentrate on more complex issues that need a personal touch. This not only speeds up the resolution process but also reduces operational costs.

HubSpot’s findings indicate that businesses using AI for customer service can handle a higher volume of queries without compromising quality, improving overall efficiency. According to the State of AI Survey by Hubspot, 78% of customer support specialists agree that AI/automation tools can help them be more efficient.

Data-Driven Insights

Finally, AI customer service software provides invaluable data-driven insights by analyzing customer interactions to identify common issues and trends. These insights inform business strategies and decision-making. For example, businesses can track customer sentiment, common issues, and agent performance with HubSpot’s AI features.

According to HubSpot’s State of AI Survey, 42% of customer service pros using AI tools to collect and analyze feedback report significant improvements in customer experience. This capability allows businesses to proactively address problems and enhance their services.

Pro tip: Some AI platforms highlight unresolved customer questions, helping identify content gaps that need addressing.

By incorporating AI into your customer service strategy, you can harness these benefits to improve the customer experience, increase efficiency, and foster greater satisfaction and loyalty. Tools such as HubSpot’s AI-powered Service Hub offer extensive features to help businesses efficiently manage customer interactions.

Having explored the benefits of AI in customer service, let’s dive into the top AI customer service software solutions available today. These tools are designed to optimize your customer service operations and deliver exceptional experiences. Based on my research and hands-on demos, here are my top picks:

1. HubSpot Service Hub

If you’re wondering how AI can help small businesses, look no further. As a small business owner, I find HubSpot’s Service Hub incredibly user-friendly. Its integration with other HubSpot tools makes it seamless to manage customer interactions across different channels. The automated ticketing system ensures no customer query is overlooked, and the live chat feature is responsive and intuitive. HubSpot’s data shows that customer service pros who use their chatbot to automatically respond to requests can save about two hours and 20 minutes each day on average.

The knowledge base feature enables businesses to generate comprehensive articles and FAQs, effectively reducing repetitive queries. Customer service professionals who use HubSpot AI to write responses to customer service requests save an average of one hour and 50 minutes per day. Overall, HubSpot’s analytics provide deep insights into customer interactions, helping businesses continuously improve service quality.

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What I like: HubSpot’s Service Hub stands out for its comprehensive features, including automated ticketing, live chat, and a robust knowledge base.

Best for: Small to medium businesses looking for an all-in-one solution.

Pro tip: Utilize the built-in reporting tools to gain insights into customer satisfaction and agent performance.

Demo: Watch a demo of HubSpot’s Service Hub.

2. Fin

Intercom’s Fin AI is a comprehensive AI customer service platform featuring an AI Agent for customer interactions, an AI Copilot to assist agents, and an AI Analyst for leadership insights. I’ve found its intuitive design and customization options particularly beneficial for managing complex interactions.

The AI Agent handles customer inquiries efficiently, while the AI Copilot supports agents by suggesting responses and next steps. The AI Analyst provides detailed analytics, enabling businesses to continually optimize their customer service strategies.

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Best for: Intercom’s Fin AI is best suited for tech-savvy businesses that want advanced features and customization in their customer service operations. It’s particularly effective for companies that handle a high volume of complex customer interactions and need a robust solution to manage and streamline their support processes.

Fin AI‘s ability to integrate seamlessly with the Intercom platform makes it ideal for businesses already using Intercom’s suite of tools.

What I like: Intercom’s AI chatbots are highly intuitive and can handle complex customer interactions efficiently.

Pro tip: Use Intercom’s A/B testing capabilities to optimize chatbot interactions.

Demo: Watch a demo of Intercom’s Fin

3. Zendesk AI

Zendesk AI is a versatile platform with various AI-driven features such as the Answer Bot, AI-powered knowledge management, and predictive analytics.

The Answer Bot uses machine learning to respond instantly to customer inquiries, reducing the workload on human agents and ensuring quick resolutions. Additionally, Zendesk’s AI can analyze customer interactions to identify trends and common issues, providing valuable insights that can inform strategic decisions.

The platform’s predictive analytics capabilities help businesses anticipate customer needs and proactively address potential problems, enhancing overall customer satisfaction.

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What I like: Zendesk AI offers a comprehensive suite of AI-powered tools designed to enhance customer service efficiency and effectiveness.

Best for: Businesses of all sizes looking for a robust AI-driven customer service platform.

Pro tip: Leverage Zendesk AI’s predictive analytics and machine learning capabilities to predict customer needs and enhance service delivery.

Demo: Explore the interactive demo here.

4. Salesforce Einstein

Salesforce Einstein is a powerhouse for AI-driven customer service. Its seamless integration with Salesforce CRM allows for a unified view of customer interactions, which I’ve found incredibly valuable for maintaining consistency across channels.

Einstein’s predictive analytics are particularly impressive, helping businesses anticipate customer needs and address potential issues ahead of time. This approach can improve customer satisfaction and reduce the workload on support teams. The automation features streamline many routine tasks, freeing up agents to focus on more complex issues.

Salesforce Einstein is an invaluable asset for large enterprises with complex customer service needs.

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What I like: Salesforce Einstein integrates seamlessly with Salesforce CRM, offering powerful AI-driven insights and automation.

Best for: Large enterprises using Salesforce CRM.

Pro tip: Utilize Einstein’s predictive analytics to proactively address customer needs.

Demo: Watch the Salesforce Einstein demo.

5. Ada

Ada’s simplicity and quick deployment are standout features. The demos show that within a short time, businesses can have a fully functional AI chatbot capable of handling a variety of customer inquiries. I like the ease of customization, which allows companies to tailor the chatbot to address their most common customer questions effectively.

Despite its simplicity, Ada’s performance is robust, consistently providing accurate and helpful responses. This makes it an ideal solution for startups, where quick implementation and immediate results are crucial. Ada proves to be an efficient and reliable tool for enhancing customer service operations.

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What I like: Ada is known for its ease of use and quick deployment, making it perfect for businesses looking to start using AI customer service quickly.

Best for: Startups and smaller teams.

Pro tip: Customize Ada’s chatbot with your FAQs to maximize its effectiveness right from the start

Demo: Sign up to get a demo here.

6. Freshdesk AI

Freshdesk AI, the omni-channel customer support platform powered by Freddy AI, is designed to make customer support smarter and more efficient.

Freddy AI learns from past interactions to suggest relevant responses, speeding up resolution times and providing a better customer experience. It works across various messaging platforms like WhatsApp and Facebook, so customers can get help where they prefer. Freddy also gives agents a unified view of interactions, making it easier to respond effectively. Plus, its analytics help identify and address common issues.

The analytics provided by Freddy AI offer insights into common customer pain points, helping businesses refine their support strategy. Overall, Freshdesk AI offers a robust and cost-effective solution for those on a budget.

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What I like: Freshdesk AI offers powerful automation features like Freddy AI, which can handle a wide range of customer queries.

Best for: Companies needing robust automation at an affordable price.

Pro tip: Leverage Freddy AI’s analytics to identify and address common customer pain points.

Demo: Request a Freshdesk demo here.

Transforming Customer Service With AI: Key Takeaways

Exploring AI customer service software has shown me just how transformative these tools can be. AI dramatically improves response times and ensures 24/7 availability, which is crucial for meeting modern customer expectations. The ability to personalize interactions and gain deep insights into customer behavior is particularly impressive.

Among the top tools, HubSpot’s Service Hub stands out as my favorite. Its user-friendly interface, seamless integration with other HubSpot tools, and comprehensive features make it an excellent choice for small to medium businesses. The AI-powered analytics and automation capabilities significantly enhance service quality and efficiency.

Another standout is Intercom’s Fin AI, which excels in handling complex customer interactions with intuitive design and customization options. Its advanced features, like A/B testing and detailed analytics, allow businesses to continually optimize their customer service strategies.

Adopting AI in customer service isn‘t just about keeping up with technology trends — it’s about fundamentally transforming how you interact with and support your customers. These tools offer remarkable opportunities to improve efficiency, personalize experiences, and proactively address customer needs, setting a new standard for exceptional customer service.

Ever experienced a tech problem that restarting your device just doesn’t fix? We’ve all been there. If you love fast resolutions like I do, you’ll do a quick Google search related to your problem. As long as the device manufacturer has done its job right, you’ll find a solution within seconds — on the company’s knowledge base.

Over the years, I’ve visited hundreds of knowledge bases, and I’ve helped design and write plenty, too. So what have I got to show for it? More product information and the ability to tell good knowledge bases from bad.

If you’re curious about knowledge bases, stick around. I’ll explain what they are and why you need them. Then, I’ll share the best help desk knowledge base examples to show you what an excellent knowledge base should look like. Let’s dive in.

Table of Contents

• What is a Knowledge Base?
• Why Your Company Needs a Knowledge Base
• Help Desk Knowledge Base Examples

What is a Knowledge Base?

A knowledge base is a hub for information related to a company’s product or service. There are no clear-cut rules for the type of content a knowledge base must contain. What’s more, it’s often called help, support, or documentation.

Regardless of what a knowledge base is called, here’s what you can expect to see:

• Frequently asked questions (FAQs).
• Informative articles about a business (e.g., blogs).
• Troubleshooting guides (e.g., how to fix a Microsoft Word error code).
• Step-by-step guides (e.g., how to change my password).
• Complete user manuals for products or services (e.g., iPhone user manual).

These examples are relevant to customer-facing knowledge bases, but you can also have internal knowledge bases for your employees. For example, your company could have a knowledge base that covers onboarding, work policies, standard operating procedures (SOPs), and guides for using software or machines.

Most companies you interact with online will have some type of knowledge base, which they may have built using knowledge base software. Before I share some stunning help desk knowledge base examples, let’s look at why they’re important to businesses today.

Why Your Company Needs a Knowledge Base

Whenever I have an issue with a company’s product or service, I almost always head to their knowledge base for solutions. In most cases, I don’t even have to contact customer support at all.

Most customers are like me. We prefer finding solutions ourselves. It saves us the time we’d otherwise spend submitting tickets in hopes of getting a quick resolution. With an effective knowledge base, you can meet customers’ needs without wasting too much of their time and your support team’s time.

When I spoke to Amanda Gulley, chief of product and user experience for EdPlus at Arizona State University, she agreed that a knowledge base is no one-trick pony. She said, “An intuitive knowledge base is not just a tool for information dissemination; it’s a strategic asset that significantly enhances customer satisfaction and organizational efficiency.”

Not convinced you need one yet? Here are the key benefits of creating a knowledge base:

Around-the-Clock Support

While your support team sleeps, your knowledge base can help customers fix their problems and learn more about your products. Think of your knowledge base as an extension of your customer support team that’s available 24/7.

Quick Resolutions

I like a fast solution to my tech problems, and most of the time, I don’t really mind if it comes from an explainer video, a how-to article, or a support representative. Sure, it’s nice to chat with a real human, but it’s also great to have a problem fixed without a support ticket.

Boosting SEO

A well-structured and expertly written knowledge base is a great marketing asset. If you provide high-quality information that benefits customers and general audiences, Google could reward your knowledge base content with high rankings.

More Time for Support Teams to Focus on Complex Issues

While your knowledge base helps users solve simple problems, your support team can devote time to urgent, high-impact issues. Don’t forget that your support team can also link customers to knowledge base articles, saving even more time and resources.

Gain Powerful Insights

If your knowledge base software provides reporting and analytics features, you can discover valuable information about customer trends and pain points. Plus, you can spot areas of your products or services that confuse new customers.

1. HubSpot

Since you’re on the HubSpot website ( … great to have you here!), is it safe for me to assume you know a bit about what HubSpot does?

Here’s the gist if you arrived through a Google search: HubSpot is a customer relationship management (CRM) platform, meaning it provides a suite of tools that helps businesses grow while prioritizing their customers. Whatever tool or hub (e.g., marketing, sales, or operations) you’re interested in, HubSpot Knowledge Base is a great place to learn about it.

You’ll find plenty of images to help you navigate through your chosen tool. And then, there’s HubBot, the friendly AI chatbot on the right side of every page, eager to answer your “how-to” questions.

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What I like: HubSpot Knowledge Base makes it super easy to find any information I need. I love exploring the handy search bar, the quick list of all product/service categories, and even the glossary. But most times, I simply hop on a chat with HubBot to get answers faster.

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2. Slack

Slack is a workplace messaging app that’s used by 77 of Fortune 100 companies. I’m no stranger to Slack’s iconic messaging sound and its stunning brand colors — I’ve used it to communicate with teams in different companies. But how does its knowledge base stack up?

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Slack’s knowledge base displays a prominent search bar as well as direct links to common troubleshooting topics. It also has shortcuts that help users save time — I just found out that pressing the “Up” key lets me edit my previous message.

What I like: I find Slack pretty intuitive, so I don’t use the knowledge base very often. That said, I think the short YouTube explainer videos in some sections of the knowledge base are great for explaining Slack to new team members.

3. Confluence

As a collaboration and knowledge sharing tool for companies, you’d imagine that Confluence’s knowledge base would be a sight to behold. Spoiler alert: it is.

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If you’re thinking of using Confluence to create your own knowledge base, visiting this Resource Center is a must. You’ll see what a great example looks like, and you’ll learn the steps and best practices for knowledge base setup.

Beyond the clear and helpful main page, you’ll find well-structured documents containing all the information you need, alongside high-quality images and GIFs.

What I like: I think Confluence’s knowledge base is a great example of how marketing efforts can slot into an information site. Alongside easy-to-access demo videos and product guides, Confluence adds customer success stories to reel you in.

4. Apple

When something goes wrong with my iPhone, I usually head straight to Apple’s knowledge base, which links to great YouTube video tutorials with subtitles for enhanced accessibility. And, if I can’t find what I’m looking for, the knowledge base conveniently directs me to human support.

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What I like: Apple displays all its products in its self-service knowledge base, letting users choose the products they’re interested in. I love how this filtering mechanism ensures I only see relevant content when I select “iPhone.”

5. Amplitude

Amplitude aims to make digital analytics accessible to every business, and to achieve this, it needs a solid knowledge base for users to turn to.

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Amplitude’s help desk knowledge base has a user-friendly layout that’s easy to navigate, providing a great customer experience. If you’re new to this platform, the “Start Here” section is the ultimate guide to get you up and running.

What I like: Amplitude categorizes common questions under five main sections, which makes it easy for me to find the solutions I need.

6. Airbnb

Love it or hate it, Airbnb is a huge player in the tourism industry, and the company has made it super easy to book vacation rentals. With its knowledge base, you can find answers to common questions, whether you’re a long-term guest or looking to start an Airbnb.

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I played around the knowledge base and found that the most popular topics appeared as suggestions when I clicked the search bar. Impressively, these lists differ depending on whether you’re a guest, host, experience host, or travel admin.

What I like: Airbnb prominently displays in-depth content related to anti-discrimination and accessibility policies, tips for avoiding scams, and advice on what to do in an emergency.

7. 1Password

1Password is a top password manager that’s trusted by millions of customers, including 100,000+ businesses. If you’re just getting started, you’ll find everything you need once you hit the “Start Here” button. For more experienced users, the knowledge base offers useful tips on getting the most from 1Password, like using apps, browser extensions, and vaults.

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What I like: When I navigated to the support hub (i.e., knowledge base), the option to contact support directly was right there in front of me. This was refreshing — some companies seem to bury their contact information to discourage you from getting in touch.

8. Canva

This popular design platform has over 170 million active users. Without a great knowledge base, Canva’s support personnel would be inundated with questions on everything from templates to teams.

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For creatives, this is one of the best knowledge base examples out there. I’ve learned a lot from Canva’s Design School tutorials, and the blog is a great resource of relevant information for designers, marketers, and businesses of all sizes.

What I like: Canva’s knowledge base has drop-down menus that provide all the information I need, from designing to sharing my creations. The Design Spotlight section is particularly useful for creating website and social media images.

9. Google

As the world’s top search engine with a market share of 90.91%, Google provides customer self-service options through an extensive knowledge base.

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Instead of a table of contents, the knowledge base displays a group of icons associated with popular Google products and services (e.g., Chrome, Gmail, and YouTube) for consumers, businesses, and developers.

What I like: The support homepage is on-brand and uncluttered — with a few simple clicks, I can find whatever Google service I need help with.

10. Netflix

Generally, Netflix works well for me, so I rarely have to head to its knowledge base. If my TV binge session is interrupted by technical issues, it’s usually something I can fix with a quick refresh.

When I do need to look up Netflix support, it’s usually due to suspected password sharing or using Netflix on too many devices (I’m innocent, Netflix!).

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I noticed that the account and billing section is high up on the knowledge base, which makes sense to me — it’s pretty much the only section I need to read. Once you click a section heading, you’ll find a drop-down list of useful explainer articles.

Personally, I’d like to see snippets of these articles displayed here, but I don’t have any major issues with the bare-bones layout.

What I like: I really appreciate that a section of Netflix’s knowledge base lets me suggest TV shows or movies. It means I can hold out a tiny bit of hope that they’ll take my suggestions on board.

11. OpenAI

Open AI, the company behind ChatGPT, has a good knowledge base that’s mostly dedicated to account information and using ChatGPT. As you might expect, the company uses an AI chatbot as a knowledge base tool.

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When I browsed some knowledge base articles, I was impressed to see that they were recently updated. The knowledge base makes effective use of hyperlinks within articles, which helped me navigate to sections of interest.

What I like: OpenAI’s knowledge base is transparent about the limitations of ChatGPT, including its Western bias and the fact that it can be very convincing while providing incorrect information. I think new users should study ChatGPT’s knowledge base to ensure they’re using the tool effectively.

12. Asana

Asana is a work management platform with features such as workflow automation and project management. Its knowledge base has a clean layout with lots of whitespace, and the chatbot powered by Forethought AI is a nice addition.

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But, the benefits of this knowledge base extend beyond a minimalist layout and chatbot charms. Asana provides helpful use cases, screenshot-assisted help articles (I love these!), and even courses on the product, including self-paced, pre-recorded, and live training.

What I like: I think the explainer videos in Asana’s knowledge base strike a great balance between funny and informative. Even if you don’t plan on using Asana, check out these videos to see how knowledge bases can have real entertainment value.

13. Dropbox

If you’re among the 700+ million people who use Dropbox, you might have used its knowledge base to find solutions to common issues like syncing, sharing, and organizing your files.

Like many of the best knowledge bases, the search bar is at the top of the page. When you click on it, you’ll get suggestions for top searches, guiding you to the solutions you seek.

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What I like: This knowledge base prominently features the Dropbox Community Forum, which I’m a big fan of. It has specific groups for beginners, photographers, and musicians — shout out to Community Manager Graham for some great posts on music-related topics.

Stay Relevant with Tech Trends

In my examples of help desk knowledge bases, you might have noticed that many companies use AI chatbots to share knowledge — this is no coincidence. Businesses are reworking their knowledge bases in response to technological advancements, making them much easier to manage and navigate.

While I think AI is a great addition to knowledge bases, it’s no substitute for expert-backed content. Ideally, AI should complement rather than replace your support team.

If you’re interested in creating your own knowledge base, check out the examples I’ve provided to see what your competitors are doing. But don’t forget — your customers will ultimately decide if your knowledge base is useful.

You probably can recall at least a handful of times when you’ve waited on the line to speak to customer service while calling a bank or your internet provider. The longest I’ve waited was 40 minutes — after which my call was automatically dropped. How did that make me feel? Upset, to say the least.

Luckily, nowadays calling isn’t your only option to get in touch with brands. Most businesses offer a digital customer experience and offer multiple communication channels to choose from (thank you, technology!).

• What is digital customer service?
• Benefits of Digital Customer Service
• Digital Customer Service Examples
• Digital Customer Service Tools

Without a doubt, online customer service will only continue to grow in importance — and AI will pave the way.

Benefits of Digital Customer Service

1. Boosting Service Quality by Analyzing Feedback

Interacting with clients through a digital channel has one major advantage over face-to-face contact, i.e., you automatically retain a record of your communication.

Now, consider a period like last year. Think of all the chatbot interactions that took place during this time, all the emails you’ve exchanged, or the customer satisfaction surveys you’ve run. This data is a goldmine, which can help paint an accurate picture of your clients.

The great thing is that AI can help you analyze all these vast records for you. It can derive information on the most common customer concerns, or what they say they particularly love — or dislike — about your business. Better yet, you could also set up automatic surveys in the future to continue gathering information.

42% of respondents in HubSpot’s State of Service 2024 report say that they already do this to learn how they can improve their customers’ experiences.

2. Improving Response Time

I can still remember how many hours I’ve spent listening to music while waiting on hold after calling a business. It’s hard to believe that it was the only way to get in touch with many local businesses just a decade ago.

Luckily, this is now a tale of the past — in big part, thanks to AI. To manage customer queries at scale without sacrificing quality, you can set up a chatbot and train it on your FAQs and knowledge base. This lets you automate answers to the most common questions. You’ll only need to engage a customer service member if the topic truly requires human expertise.

If you’re wondering if it pays off to invest in such tools, the short answer is — yes. In our report, 92 percent of specialists say that introducing AI and automation speeds up response times. And half of those respondents described the acceleration as “significant.”

3. Reducing Customer Effort

In my opinion, this benefit deserves special recognition. Let me tell you a story.

Before becoming a marketer, I co-ran an online bookstore that offered a premium service — finding collector’s editions at small stores across the globe and shipping them to the customer.

There was one client who dreamed of a Japanese photo album but knew it was nearly impossible to find it as an individual. He reached out via email and we exchanged a few messages, back and forth, over the course of a few weeks.

He said that he appreciated the opportunity to contact the store online, as he was currently in a completely different timezone and wouldn’t be able to make a phone call. The ability to speak to me asynchronously was the reason why he decided to shop through the bookstore.

This example shows that not all digital customer service interactions must be around instantaneous communication. While a massive advantage in most cases, some clients will appreciate the flexibility that comes with messaging a business and replying at their own pace.

4. Meeting Customer Expectations and Improving Satisfaction

Back in the day, calling customer service was the only option people had. But times have changed drastically, and clients now have plenty of other channels to choose from. They can go with email, live chat, or messaging apps like Facebook.

If brands want to keep their customers satisfied, they must offer multiple communication channels and be available 24/7 — and that’s where self-service comes in.

This is something that a lot of businesses are already aware of. In fact, 64% of companies surveyed by HubSpot say they will increase their investment in self-service options.

5. Establishing Global Reach

Digitizing customer service has another major benefit, and that is offering global reach. Companies can now provide customer support without having a physical office or employing hundreds of people in every market they serve.

Thanks to the use of technology they can effectively answer queries irrespective of where their customers are. What’s more, they can retain the same standard of customer service, which positively reflects on their brand image.

According to HubSpot’s State of Service report, 88% of businesses were able to scale their customer service operations thanks to the use of AI.

Digital Customer Service Examples

Live Chat

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Our report found that 42% of respondents currently use live chat, i.e., an online chat with a human representative on the other side. And out of them, 90% agree that they’re effective in serving customers at the right standard.

What I like: Personally, I don’t like speaking on the phone, so my favorite thing about live chat is that I can get an answer to my query fast, without calling customer service. And my conversation isn’t available to a third party, unlike when I use social media. It’s the perfect option for those who don’t fancy phone interactions but also don’t want to wait long for an email reply.

Chatbot

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In terms of popularity among customer-facing teams, AI chatbots are right up there next to live chat. Our study found that they’re currently used by 37% of global service specialists.

And this number is set to grow. 71% of respondents told us that they plan to grow their investment in this communication channel.

What I like: They’re available round the clock, so customers can try to find answers to their questions without waiting for your support team to come to work the following day. Chatbots have saved me several times. Not that long ago, I had an issue with my website and it turned out I could fix it myself quickly with the help of a helpful AI assistant. Genius!

Knowledge Base

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Having a knowledge base is another important self-service feature, right next to chatbots. It’s a collection of the most important information, such as FAQs, an introduction to your specific services or features, and quick step-by-step instructions. Customers can easily navigate the categories — or chapters — to find the topic they’re interested in.

Perhaps you’re wondering if customers really want to fix issues themselves. Our State of Service report found an answer to this question.

According to the companies we surveyed, 55% of customers say that they actually prefer to self-serve than wait for a real-life agent.

What I like: Investing time in setting up a knowledge base pays off for both sides. Clients can find answers to their questions, while the brand minimizes the number of incoming communication.

Social Media Management

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Currently, over 5 billion people use social media — half of the world’s population. So, it’s hardly surprising that many customers prefer to communicate with brands via Facebook or X, and expect to get their answers quickly. According to our report, 34% of customer service pros use AI to monitor social media for customer service-related issues.

What I like: Social media allows for more personalized communication. Brands can even use a bit of humor at times, which reduces distance and helps to build better relationships with customers. Also, companies can use insights shared by customers to improve the brand experience.

Digital Customer Service Tools

1. HubSpot Service Hub

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Service Hub brings together all your customer service data and channels into one CRM platform, making it easy to support and grow your client base.

You can connect your live chat, emails, chatbot, and customer feedback tools, among others, and bring all customer messages and tickets into a single place. This is also where you and your team manage all ongoing communication. That’s right — no more back-and-forth between channels.

By clicking on a customer’s ticket, you can assign a specific customer service representative to the query. You can also access all the messages, phone calls, and other interactions that have taken place between the customer and your service team so far.

Unsurprisingly, Service Hub also hits the top marks when it comes to AI and automation features. You can create automation rules, such as which types of topics should be assigned to a specific agent or scaled to the customer service team lead.

However, my absolute favorite feature is HubSpot AI, which is a great assistant for customer service teams. One of the things it can help you with is rephrasing your reply.

You can turn a terse turn of phrase into a more conversational, heartfelt, or professional tone of voice. This can be a blessing, particularly if you’re handling a difficult issue or are simply having a bad day but want to ensure you’re empathetic and professional.

What I like: Service Hub covers all the use cases I could possibly think of, drawing on my experience as a customer service team member. I particularly love all the handy sidebars and options, like inserting knowledge base articles, answers to FAQs, or rewriting messages with AI for better impact.

All this happens within the chat text field. Bonus points for allowing customer service to enhance knowledge base articles live, based on their interactions with clients.

2. Ada

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Ada is an AI-powered customer service automation platform, which features a generative AI agent that is able to answer client queries accurately and in real-time.

It’s fast and can come up with relevant responses every single time, thanks to the use of Ada’s Reasoning Engine. It offers personalized responses, learns from previous customer interactions, and can be deployed across multiple digital channels without worrying about losing communication consistency.

What I like: Ada’s ability to understand specific needs and provide answers, which aren’t generic but personalized, is impressive. It makes customers feel valued. It’s always available and ready to assist, so you don’t have to wait in a queue, listening to one tune for 10 minutes (or longer). And the fact that you can deploy it across various channels without compromising response consistency or accuracy is just great.

3. Intercom

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It’s hard to find a customer service pro who hasn’t heard of Intercom. It’s an AI-first customer service solution, which among others features a live chat, chatbots, and targeted messaging capabilities. Their Fin AI Agent provides 24/7 support and is able to resolve 50% of support volume instantly.

What I like: What’s truly amazing about Intercom is that it’s a complete service platform that caters to clients, agents, and leaders alike. Their AI agents answer queries quickly and only pull answers from your support content — so you don’t have to worry about accuracy.

The AI Copilot makes pulling answers really easy, and you can even change the tone of voice to make it sound more like you. And it’s got access to all the questions and answers that have been generated in the past so you can get a more accurate response. When you want to raise a ticket, their AI automatically describes the issue, which is a real-time saver.

4. Help Scout

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Help Scout lets you bring all your client communication into one platform and keep a handy record of previous conversations. Among others, you can add tags and internal notes to client messages to make it easier to handle communication now and in the future.

This communication platform also lets you set automation rules that will accelerate the time to resolution. For example, if a customer asks a question about international shipping, you’re able to automatically draw relevant information from your FAQs.

I also appreciate the fact that the platform is keeping up with the times and uses AI to help the support team. Among others, you can ask AI to read a long email, or even an entire thread, and condense it into a high-level summary.

It can also adjust your tone of voice or message length.

What I like: One feature that caught my eye is ‘real-time collision detection.’ It shows you if someone else is also replying to a request or viewing it, preventing you from sending two responses. This could happen if you handle tens or hundreds of messages every day.

Digital Customer Service — Multichannel is The Way to Go

Each customer has their own preference — I, personally, really dislike calling brands. Whenever possible, I go for email or chat, but I can’t say the same of my parents. They’ll always choose to speak to a brand over the phone. It’s how they’ve been getting answers to questions for decades.

Less-tech-savvy clients will tend to choose face-to-face and calls, but Millenials and Gen-Z will prefer getting things done on screen.

What I recommend is choosing an omnichannel communication approach, so that you can resolve issues for everyone, faster and more efficiently.

You probably can recall at least a handful of times when you’ve waited on the line to speak to customer service while calling a bank or your internet provider. The longest I’ve waited was 40 minutes — after which my call was automatically dropped. How did that make me feel? Upset, to say the least.

Luckily, nowadays calling isn’t your only option to get in touch with brands. Most businesses offer a digital customer experience and offer multiple communication channels to choose from (thank you, technology!).

• What is digital customer service?
• Benefits of Digital Customer Service
• Digital Customer Service Examples
• Digital Customer Service Tools

Without a doubt, online customer service will only continue to grow in importance — and AI will pave the way.

Benefits of Digital Customer Service

1. Boosting Service Quality by Analyzing Feedback

Interacting with clients through a digital channel has one major advantage over face-to-face contact, i.e., you automatically retain a record of your communication.

Now, consider a period like last year. Think of all the chatbot interactions that took place during this time, all the emails you’ve exchanged, or the customer satisfaction surveys you’ve run. This data is a goldmine, which can help paint an accurate picture of your clients.

The great thing is that AI can help you analyze all these vast records for you. It can derive information on the most common customer concerns, or what they say they particularly love — or dislike — about your business. Better yet, you could also set up automatic surveys in the future to continue gathering information.

42% of respondents in HubSpot’s State of Service 2024 report say that they already do this to learn how they can improve their customers’ experiences.

2. Improving Response Time

I can still remember how many hours I’ve spent listening to music while waiting on hold after calling a business. It’s hard to believe that it was the only way to get in touch with many local businesses just a decade ago.

Luckily, this is now a tale of the past — in big part, thanks to AI. To manage customer queries at scale without sacrificing quality, you can set up a chatbot and train it on your FAQs and knowledge base. This lets you automate answers to the most common questions. You’ll only need to engage a customer service member if the topic truly requires human expertise.

If you’re wondering if it pays off to invest in such tools, the short answer is — yes. In our report, 92 percent of specialists say that introducing AI and automation speeds up response times. And half of those respondents described the acceleration as “significant.”

3. Reducing Customer Effort

In my opinion, this benefit deserves special recognition. Let me tell you a story.

Before becoming a marketer, I co-ran an online bookstore that offered a premium service — finding collector’s editions at small stores across the globe and shipping them to the customer.

There was one client who dreamed of a Japanese photo album but knew it was nearly impossible to find it as an individual. He reached out via email and we exchanged a few messages, back and forth, over the course of a few weeks.

He said that he appreciated the opportunity to contact the store online, as he was currently in a completely different timezone and wouldn’t be able to make a phone call. The ability to speak to me asynchronously was the reason why he decided to shop through the bookstore.

This example shows that not all digital customer service interactions must be around instantaneous communication. While a massive advantage in most cases, some clients will appreciate the flexibility that comes with messaging a business and replying at their own pace.

4. Meeting Customer Expectations and Improving Satisfaction

Back in the day, calling customer service was the only option people had. But times have changed drastically, and clients now have plenty of other channels to choose from. They can go with email, live chat, or messaging apps like Facebook.

If brands want to keep their customers satisfied, they must offer multiple communication channels and be available 24/7 — and that’s where self-service comes in.

This is something that a lot of businesses are already aware of. In fact, 64% of companies surveyed by HubSpot say they will increase their investment in self-service options.

5. Establishing Global Reach

Digitizing customer service has another major benefit, and that is offering global reach. Companies can now provide customer support without having a physical office or employing hundreds of people in every market they serve.

Thanks to the use of technology they can effectively answer queries irrespective of where their customers are. What’s more, they can retain the same standard of customer service, which positively reflects on their brand image.

According to HubSpot’s State of Service report, 88% of businesses were able to scale their customer service operations thanks to the use of AI.

Digital Customer Service Examples

Live Chat

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Our report found that 42% of respondents currently use live chat, i.e., an online chat with a human representative on the other side. And out of them, 90% agree that they’re effective in serving customers at the right standard.

What I like: Personally, I don’t like speaking on the phone, so my favorite thing about live chat is that I can get an answer to my query fast, without calling customer service. And my conversation isn’t available to a third party, unlike when I use social media. It’s the perfect option for those who don’t fancy phone interactions but also don’t want to wait long for an email reply.

Chatbot

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In terms of popularity among customer-facing teams, AI chatbots are right up there next to live chat. Our study found that they’re currently used by 37% of global service specialists.

And this number is set to grow. 71% of respondents told us that they plan to grow their investment in this communication channel.

What I like: They’re available round the clock, so customers can try to find answers to their questions without waiting for your support team to come to work the following day. Chatbots have saved me several times. Not that long ago, I had an issue with my website and it turned out I could fix it myself quickly with the help of a helpful AI assistant. Genius!

Knowledge Base

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Having a knowledge base is another important self-service feature, right next to chatbots. It’s a collection of the most important information, such as FAQs, an introduction to your specific services or features, and quick step-by-step instructions. Customers can easily navigate the categories — or chapters — to find the topic they’re interested in.

Perhaps you’re wondering if customers really want to fix issues themselves. Our State of Service report found an answer to this question.

According to the companies we surveyed, 55% of customers say that they actually prefer to self-serve than wait for a real-life agent.

What I like: Investing time in setting up a knowledge base pays off for both sides. Clients can find answers to their questions, while the brand minimizes the number of incoming communication.

Social Media Management

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Currently, over 5 billion people use social media — half of the world’s population. So, it’s hardly surprising that many customers prefer to communicate with brands via Facebook or X, and expect to get their answers quickly. According to our report, 34% of customer service pros use AI to monitor social media for customer service-related issues.

What I like: Social media allows for more personalized communication. Brands can even use a bit of humor at times, which reduces distance and helps to build better relationships with customers. Also, companies can use insights shared by customers to improve the brand experience.

Digital Customer Service Tools

1. HubSpot Service Hub

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Service Hub brings together all your customer service data and channels into one CRM platform, making it easy to support and grow your client base.

You can connect your live chat, emails, chatbot, and customer feedback tools, among others, and bring all customer messages and tickets into a single place. This is also where you and your team manage all ongoing communication. That’s right — no more back-and-forth between channels.

By clicking on a customer’s ticket, you can assign a specific customer service representative to the query. You can also access all the messages, phone calls, and other interactions that have taken place between the customer and your service team so far.

Unsurprisingly, Service Hub also hits the top marks when it comes to AI and automation features. You can create automation rules, such as which types of topics should be assigned to a specific agent or scaled to the customer service team lead.

However, my absolute favorite feature is HubSpot AI, which is a great assistant for customer service teams. One of the things it can help you with is rephrasing your reply.

You can turn a terse turn of phrase into a more conversational, heartfelt, or professional tone of voice. This can be a blessing, particularly if you’re handling a difficult issue or are simply having a bad day but want to ensure you’re empathetic and professional.

What I like: Service Hub covers all the use cases I could possibly think of, drawing on my experience as a customer service team member. I particularly love all the handy sidebars and options, like inserting knowledge base articles, answers to FAQs, or rewriting messages with AI for better impact.

All this happens within the chat text field. Bonus points for allowing customer service to enhance knowledge base articles live, based on their interactions with clients.

2. Ada

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Ada is an AI-powered customer service automation platform, which features a generative AI agent that is able to answer client queries accurately and in real-time.

It’s fast and can come up with relevant responses every single time, thanks to the use of Ada’s Reasoning Engine. It offers personalized responses, learns from previous customer interactions, and can be deployed across multiple digital channels without worrying about losing communication consistency.

What I like: Ada’s ability to understand specific needs and provide answers, which aren’t generic but personalized, is impressive. It makes customers feel valued. It’s always available and ready to assist, so you don’t have to wait in a queue, listening to one tune for 10 minutes (or longer). And the fact that you can deploy it across various channels without compromising response consistency or accuracy is just great.

3. Intercom

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It’s hard to find a customer service pro who hasn’t heard of Intercom. It’s an AI-first customer service solution, which among others features a live chat, chatbots, and targeted messaging capabilities. Their Fin AI Agent provides 24/7 support and is able to resolve 50% of support volume instantly.

What I like: What’s truly amazing about Intercom is that it’s a complete service platform that caters to clients, agents, and leaders alike. Their AI agents answer queries quickly and only pull answers from your support content — so you don’t have to worry about accuracy.

The AI Copilot makes pulling answers really easy, and you can even change the tone of voice to make it sound more like you. And it’s got access to all the questions and answers that have been generated in the past so you can get a more accurate response. When you want to raise a ticket, their AI automatically describes the issue, which is a real-time saver.

4. Help Scout

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Help Scout lets you bring all your client communication into one platform and keep a handy record of previous conversations. Among others, you can add tags and internal notes to client messages to make it easier to handle communication now and in the future.

This communication platform also lets you set automation rules that will accelerate the time to resolution. For example, if a customer asks a question about international shipping, you’re able to automatically draw relevant information from your FAQs.

I also appreciate the fact that the platform is keeping up with the times and uses AI to help the support team. Among others, you can ask AI to read a long email, or even an entire thread, and condense it into a high-level summary.

It can also adjust your tone of voice or message length.

What I like: One feature that caught my eye is ‘real-time collision detection.’ It shows you if someone else is also replying to a request or viewing it, preventing you from sending two responses. This could happen if you handle tens or hundreds of messages every day.

Digital Customer Service — Multichannel is The Way to Go

Each customer has their own preference — I, personally, really dislike calling brands. Whenever possible, I go for email or chat, but I can’t say the same of my parents. They’ll always choose to speak to a brand over the phone. It’s how they’ve been getting answers to questions for decades.

Less-tech-savvy clients will tend to choose face-to-face and calls, but Millenials and Gen-Z will prefer getting things done on screen.

What I recommend is choosing an omnichannel communication approach, so that you can resolve issues for everyone, faster and more efficiently.

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Your click helps us gather results. We’ll learn what other service professionals think and let you know just as soon as we’re done crunching the numbers.

This Week’s Poll

If you’re still wondering what the answer to this week’s poll is, check back next week for the results. But if you just can’t wait until then, you might be able to find an answer in this blog post.

Results From the Last Poll

If Sales and Marketing are your business’s vehicle, AI and customer success are the drivers. Without your customers succeeding with your product or services, your sales and marketing efforts will eventually fall flat— or worse, you’ll lose your loyal customer base.

Recently, I needed help troubleshooting my spotty internet connection. My internet service provider uses an AI chatbot to guide customers through the most obvious fixes. If those solutions fail to fix the issue, a live agent picks up the conversation to continue providing in-depth support.

I liked the addition of the AI chatbot. Sometimes, fixing my internet connection is as simple as resetting my modem. The AI chatbot saved me and a live agent time, which I appreciate.

So, how can you improve your customer experience and keep your customers happy? By creating a dedicated customer success team and giving them a secret weapon for success: AI.

In this post, we’ll discuss how AI can improve your customer success efforts, plus give you a list of AI tools to try today.

Table of Contents:

• The State of AI in Customer Success
• Benefits of Using AI in Customer Success
• How to Use AI for Customer Success
• AI Tools for Customer Success
• AI Customer Success Best Practices

The State of AI in Customer Success

Generative AI is a useful technology for customer success teams. AI works by parsing large data sets through an algorithm and then making predictions and decisions based on patterns within the data set.

AI has many applications, from content marketing to sales forecasting to fraud detection. Customer success managers can use AI to help gather data and improve the quality support of support their teams provide to their clients. That’s why 62% of business leaders have already invested in AI and automation tools. They know that AI can help their teams be more productive.

For customer success teams, AI can make all the difference in ensuring the success of their strategy. AI tools can help provide customer self-service and act as the first point of contact for clients with service-related issues.

In fact, 42% of customer service pros who use AI and automation tools say that AI chatbots that respond to customer service-related issues are very effective. And 33% of customer service professionals say that AI tools that monitor social media for customer service-related issues are very effective, too.

Moreover, 94% of customer service professionals say AI improves the customer self-service experience. Also, 57% of customers prefer to engage digitally with companies regarding customer service.

Given those stats, it makes sense to incorporate AI into your customer success strategy. Let’s look at the benefits of using AI in customer success.

The Benefits of Using AI in Customer Success

61% of customer service professionals expect to use some form of AI in their job in 2024. For those customer service pros who are ready to embrace AI, they’ll quickly discover some of the benefits of using AI in their customer success strategy.

Here are three major benefits you can expect when you pair AI and customer success together.

Better Data Analysis

AI is helpful for quickly parsing and analyzing data. In fact, 45% of marketers use AI for data analysis. Customer service professionals can do the same using the same techniques and tools. And that’s why 62% of customer support representatives say that AI tools help them understand their customers better.

Using AI tools to complete data analysis, which usually takes several hours, will save your customer service reps significant time. Plus, they’ll gain valuable insights into how their customers feel about your products or services.

Better Customer Experience

42% of customer service pros think AI tools that help them collect and analyze customer feedback significantly improve the customer experience. But that’s not all. 66% of customer support specialists agree that AI and automation tools can help personalize the experience customers get with their company.

A personalized customer experience is vital to customer success and gaining a loyal customer. AI tools can help provide custom recommendations based on past interactions and provide proactive solutions to problems a customer may experience.

Save Your Reps Time

One of AI’s most significant benefits is that it’s a major time saver. 78% of customer support specialists agree that AI tools and automation can help them be more efficient. Aside from saving your customer service reps time in data analysis, it can also save time in other job duties.

For example, reps using chatbots to respond to customer service inquiries can save up to 2 hours daily. Instead of spending time on individual requests, customer service reps can use chatbots to help filter easy-to-handle inquiries from those that might need more time to solve.

How to Use AI for Customer Success

Although those were just three benefits of using AI in customer success, there’s a solid guarantee you’ll find more benefits as you incorporate AI into your customer service strategy.

Wondering how to use it in your strategy to make the most of these benefits? Here’s how to use AI for customer success.

Customer Support Automation

If your customers experience an issue, they’ll likely head straight to your company website. Incorporating an AI-powered chatbot into your website is a great way to catch customer inquiries and solve minor issues that might get overlooked or pushed to the side.

AI chatbots can solve certain customer problems, greatly reducing your customer support response time. They can also collect follow-up information, schedule follow-up requests, and escalate higher-order issues to your customer service representatives.

Predict Customer Behavior

Whether customers realize it or not, their behavior is predictable. Using AI tools that analyze customer behavior can help catch customers who are close to leaving your company. This can help decrease your churn rates and increase your customer fan base.

And because AI tools are predictive, they can help identify customers who might benefit from a higher-tiered product, making upselling a breeze.

Sentiment Analysis

We’ve already mentioned the benefits of AI because of its ability to conduct sentiment analysis. But it’s worth mentioning again.

AI tools can quickly conduct sentiment analysis of voice files and text-based files. This can help your customer service reps quickly identify common complaints, understand why customers feel that way and adapt a better customer success strategy.

Ticket Routing

If your customer support representatives struggle with organizing their support tickets by department, AI tools can help. AI tools can identify which departments should receive which tickets and send them to the appropriate inboxes.

Customer Journey Mapping

You might already understand your customer’s journey and have a customer journey map that you use to help your customers experience your company through their eyes.

However, using AI tools can provide you with a more detailed customer journey map and allow you to understand pain points you might have missed at various touchpoints.

Testing It Out

I tested how to use ChatGPT to troubleshoot technical issues with a customer.

Here’s how it went.

First, I needed ChatGPT to understand the customer success exercise. So, I entered this prompt into the textbox.

“Pretend you are an AI-powered chatbot for my internet service provider. I am going to ask you some questions about troubleshooting why my Internet connection is down, and I need you to be an AI rep and give me suggestions on how to fix it.”

With ChatGPT ready to assist, I explained that my internet connection had been spotty and that actionable steps needed to be taken to fix the issue.

Here’s how it went:

Based on my experience contacting my internet service provider about my dropped connection a few weeks ago, ChatGPT’s suggestions to restart the modem, check the status lights, and test the connections with multiple devices are on par with my service provider’s AI chatbot’s instructions.

I also like that ChatGPT gave me multiple suggestions upfront without taking me through a step-by-step process.

AI Tools for Customer Success

ChatGPT is a generative AI application, meaning it works best with queries and continues to update responses as it gets new data. Most AI tools function in the same way. These kinds of tools can be beneficial for your customer success team.

Here are 8 AI tools to consider adding to your tech stack for customer success.

Gather a list of 8+ AI tools for customer success. Describe the core features of each and how they work. Add “What I like” for each.

1. ChatSpot

ChatSpot is an AI-powered tool for marketing and sales, and it’s also great for your customer support teams. You gain access to unique insights and personalized responses when you connect ChatSpot straight to your HubSpot CRM.

ChatSpot analyzes your data in real time and can provide usable data in various formats, such as bar graphs or pie charts.

What I Like: I like that ChatSpot can be used across departments. Each team has access to the same functionalities and analysis, making cross-department collaboration more accessible and efficient.

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2. Customer Success AI

Does decreasing customer churn feel like a never-ending issue? Try ChurnZero’s Customer Success AI.

Customer Success AI is an AI tool designed specifically for customer success. Use it to generate ideas, strategies, inquiry responses, and content your customer success team can use. You can also use it to forecast data, automate workflows, or send email or in-app follow-ups.

The best part? Customer Success AI easily integrates with your existing CRM.

What I like: I appreciate that Customer Success AI has preloaded prompt options for content or strategy. The preloaded options make it easy to generate content quickly.

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3. Totango

Teaming up with Catalyst, Totango works to provide you with a comprehensive overview of your customer accounts. Integrate your customer accounts to get a detailed description of the customer account health, collaborate with your team members to manage customer portfolios, and engage with your customers wherever they are– online, by email, or by chat.

What I like best: I like that Totango easily integrates with your existing CRM. So, if you’re using the HubSpot CRM, you can utilize Totango, too, to service your customers like a pro.

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4. ClientSuccess

ClientSuccess promises to help you reduce churn and increase your customer revenue. With this CRM-integrated app, you can quickly gain valuable insights and analytics to reveal data like customer health and net promoter scores, all with real-time reporting.

Or, use ClientSuccess to automate your customer-facing communications or map and manage your customer journey.

What I like best: I like that ClientSuccess focuses on customer onboarding. The onboarding process can start customer churn, so making it easier and more manageable for the customer can help reduce it.

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5. Vitally

If productivity is your customer success team’s weak spot, consider adding Vitally to your tech stack. Vitally aims to help customer success teams automate specific tasks while encouraging collaboration across the team.

Vitally also provides your team with real-time data so you and your team can monitor customer interactions as they occur.

What I like best: Customer success isn’t a one-person show. I like that Vitally encourages and streamlines collaborative communication across the team.

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6. Drift

If you want AI to support your chat features, consider Drift. Drift is an AI-powered engagement platform designed to help your customer success team listen, understand, and learn from your buyers.

Drift’s AI-powered chatbots allow for personalized 24/7 customer support and recommendations. Not only can they offer customer support, but they can also streamline your sales funnel so that you or your chatbots engage with prospective customers at just the right time.

What I like: I like that Drift encompasses the entire sales from– from start to finish. This chatbot offers personalized support for every stage of the customer.

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7. Freshdesk

If your team’s goal is to decrease the time it takes to respond to customer support tickets, you should try Freshdesk.

It can be challenging to sort through a pile of support tickets and quickly determine which tickets need the most support. But with Freshdesk, that problem is solved for you. Freshdesk can sort through support tickets and deliver them to the appropriate agents, and your team can focus on the correct details without getting distracted by less urgent matters.

Plus, Freshdesk can help your team automate customer self-service, scale your knowledge base, and optimize your workflows.

What I like best: Freshdesk is a solution focused on customer support tickets. I like that it gives team members access to deliver timely, consistent, and personalized support to customers.

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8. Custify

Custify’s focus is on onboarding, customer retention, and revenue maximizing. This AI-powered SaaS technology can help you identify which customer accounts are most likely to grow with your company so you can effectively upsell to them.

Custify also helps make onboarding easier so you can turn your new sign-ups into loyal customers.

What I like: I like that Custify can automate to-do lists. With a to-do list already made and the highest priority tasks at the top, your team can effectively work to ensure your customers’ success.

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AI Customer Success Best Practices

AI tools can help make your customer success team more effective and efficient. However, there is a right and wrong way to use them.

Check out these recommended best practices from experts and us, who use AI tools for customer service.

1. Align AI to Your Overall Business Goals

It can be tempting to think AI can do the job of providing you with excellent customer service. However, AI is a tool, not a human, and your employees provide the best possible customer service experience.

Ensure that whichever AI tool you choose for your team aligns with your business goals. Ask yourself these questions:

• Can my team use this AI tool effectively to provide excellent support?
• Which tasks can AI help my team accomplish?
• Will an AI tool help my team gain time for more important tasks?
• How does this align with our company’s business goals and mission?

By determining where in your customer success strategy an AI tool is most effective, you can help your team provide better customer support to your clients.

2. Determine What AI Can and Cannot Do

AI tools are fantastic resources, but they shouldn’t be used to replace your employees and their valuable skills. Instead, take some time to determine what AI can and cannot do.

Kaustubh Deo, President of Blooma Tree Experts says this about AI, “We have found it crucial to distinguish between what requires true judgment versus what requires more manual process and work. Over time, AI will do more and more judgment-related tasks. But for now, when it comes to customer success, we err on the side of caution given that clients are the lifeblood of any business.

Given that, AI can start by supporting customer service representatives in creating their task load — which clients need calls, which open quotes require follow-up, etc. That manual data management task is an ideal starting place to build AI into a small business (or big business) customer success system.

And then the CSRs are able to levy judgment as to how to actually support customers. AI gives them more time to do that well & thoroughly.”

By determining where in your customer success strategy an AI tool is most effective, you can help your team provide better customer support to your clients.

3. Provide Clean Data for the AI Algorithms

Because AI runs best when there is a continuous flow of data available, it’s essential to take time to ensure your data is clean, accurate, and free from errors and biases.

Tony Fernandes, CEO of UEGroup and founder of UserExperience.AI, says the available data determines how effectively AI can help your team.

Fernandes says, “Providing a valuable and robust AI solution has a lot to do with the data available, not the technology. With good access to data related to all the customer touchpoints, including sales experiences, support experiences, and any other type of interaction, software can do a great job of creating a highly personalized experience. The best practices for providing this type of AI solution begins with getting rid of the siloed data within the organization.”

4. Verify AI’s Predictions and Analysis

AI tools can be useful for predicting customer behavior and sentiment analysis. However, there are times when AI can get it wrong, such as if the customer data is flawed.

To make the best use of AI, always verify its predictions and analyses. Using a flawed prediction or analysis might not be good for your customer service team.

5. AI Chatbots Can Be Multi-Purposed

AI chatbots are a widespread use of the technology. You don’t have to use chatbots to field customer complaints. They can be used for various purposes throughout the customer pipeline.

Gary Warner, Marketing and Customer Experience Manager of Joloda, says, “AI can deliver high levels of customer satisfaction and an increase in sales when using a well-designed chatbot system. For example, they can continue to assist the customer even after a sale is made by providing order status and shipping updates. Or they can also recognise customer actions and offer targeted cross-sells or upsells based on their browsing to increase the average order value.

We have also found that having the bot can work as a trigger to get potential customers to agree to a callback is a friendly, easy way for our sales team to get their ‘foot in the door.’”

A Powerful Duo: AI and Customer Success

Appropriate AI tools can elevate your customer experience from mediocre to exceptional, saving your customer service reps time and allowing them to focus on tasks that truly matter.

However, the trick to using AI in customer success is knowing how to implement it properly in your strategies and workflows. The wrong AI tool can slow down your team and derail your efforts to provide excellent customer service.

Take some time to evaluate your customer experience operations before choosing an AI tool. Understanding where AI effectively helps your teams will help your teams provide more effective customer support.

I recently signed up for an account with Authory, an online portfolio website. I’d seen the product mentioned many times in freelancing communities I’m part of, so I thought I knew all there was to know about it when I finally signed up.

However, as I started going through the onboarding process, I realized there were so many more features I wasn’t aware of — from the self-updating portfolio to the social analytics for my published pieces. The platform and onboarding emails not only guided me through the next steps but also showed me how to get the most out of the platform. This is when I realized the importance of customer onboarding.

To make the onboarding process seamless, memorable, and informative for customers like me, you need a customer onboarding tool to facilitate, automate, and improve the experience. I’ll cover 15 tools that can help improve your customer onboarding process and help guide you to make the right choice.

What is a customer onboarding tool?

A customer onboarding tool is software that helps facilitate the onboarding process. Customer onboarding sets the tone for a successful ongoing customer relationship, so it’s important to get this step right. Your onboarding tool can provide step-by-step tutorials, training videos, personalized tips, and more to engage and inform your customers as they get to know your product.

The Benefits of Using Customer Onboarding Tools

Having a customer onboarding tool to facilitate the onboarding process makes you and your customers’ lives easier. Rather than creating multiple spreadsheets, sending a multitude of forms, and going back and forth over email to explain everything, customer onboarding software automates most of that. Here are some of the benefits of using customer onboarding tools.

Sets the tone for the relationship.

After sales, the onboarding process is your customers’ first glimpse into what the ongoing relationship will be like. You can set the tone by being intentional about it and choosing an onboarding tool that offers everything you need.

Helps with customer retention.

A strong start to the relationship can also help improve customer retention. The more information and support you can offer through your onboarding tool, the more customers will trust that they’ll be successful with you.

Your onboarding software can also be used to celebrate milestones whenever customers achieve them. For example, using a feature for the first time or reaching a certain amount of product usage. You can celebrate any sort of milestone as long as it keeps customers engaged in your product.

Encourages autonomy.

A customer onboarding tool is designed to provide your customers with all of the information they need to be successful when using your product. Your onboarding process can include training videos, checklists, a knowledge base, or any combination of these.

The best part is that an onboarding tool allows customers to learn this knowledge independently. Instead of scheduling time with customer success, customers can walk through the process on their own time to learn about the product as it pertains to them.

Helps promote your product.

You can also use your onboarding tool to showcase all of the different features available. Your customer may have signed onto your product for a few reasons, but they probably aren’t aware of every single feature and how they can use it for their business.

The onboarding process is a great opportunity to demonstrate your product’s different use cases so your customers are trained on every feature or, at the very least, become aware of the features available to them for future use.

15 Customer Onboarding Tools

Whether you’re looking for a self-service platform that offers training videos and a knowledge base or you prefer a high-touch onboarding platform for one-on-one communication, there are tools for every type of customer relationship. Here are some of the best customer onboarding tools I’ve discovered.

1. HubSpot

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HubSpot is an all-in-one customer relationship tool for service, sales, and marketing. The central platform facilitates every part of the customer pipeline, from marketing to sales to success. After customers are onboarded, you can continue supporting their customer journey on HubSpot’s platform.

HubSpot onboarding features include live chat and chatbots, customizable workflows, automated emails, knowledge bases, and much more. If you already use HubSpot for marketing and sales, it makes sense to keep your onboarding workflow within the same central platform so your team has visibility into the entire relationship.

What I like: HubSpot offers a free plan, making it easy to get started right away. You can upgrade as you scale your onboarding program and bring on more clients; HubSpot scales with you.

2. Arrows

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Arrows is a customer onboarding tool made specifically for teams who use HubSpot. The HubSpot integration offers a two-way data sync and attaches customer onboarding tasks to deals and tickets within the CRM. This means teams don’t need to leave their HubSpot dashboard to complete tasks.

What I like: Customers are presented with an easy-to-follow onboarding interface, so they don’t need to learn how to navigate the inner workings of your HubSpot platform.

3. Dock

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Dock allows your team to create collaborative, self-serve customer onboarding workspaces using templates. Using onboarding templates across your organization helps your team scale better than a clunky spreadsheet or countless emails. I think it’s especially useful that each template can also be customized to ensure every customer can get a personalized experience no matter which customer success team member they’re being onboarded with.

What I like: I like that your team can track every customer’s onboarding process so you can measure engagement early on.

4. ChurnZero

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If you have a subscription-based business, ChurnZero is a customer onboarding tool that can help you scale. The platform goes beyond onboarding and optimizes the entire customer journey by helping you track and analyze key insights, such as product usage and engagement, to improve customer experience and retention.

What I like: I like that the platform creates “ChurnScores” which rate a customer’s health and predict the likelihood that they’ll renew.

5. Rocketlane

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Rocketlane is a customer onboarding tool that offers the organization, visibility, and collaboration capabilities that you’d find in a project management tool. This tool works well for sales and customer success teams that often communicate and collaborate internally. The platform creates a seamless handoff by kicking off the onboarding process as soon as a deal is marked as “won” in your connected CRM.

What I like: I think it’s convenient that customers can access their portal with a magic link, which means they don’t need to remember a password or login to access the onboarding info they need.

6. GuideCX

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GuideCX is a customer onboarding tool that improves efficiency and collaboration through templates, automation, and increased visibility. I think it has some really helpful features like role-based views and integrated automation that help minimize manual errors and reduce your team’s time spent on repeatable tasks.

What I like: GuideCX offers a mobile app with push notifications so you can stay on top of customer updates on the go.

7. Planhat

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Planhat is a data-driven customer success platform that analyzes customer metrics to assess their health and engagement level. The comprehensive analysis takes into account customer usage, behaviors, and interactions to identify issues before they come up, which helps improve retention.

What I like: Where Planhat thrives is in its playbooks. You can create playbooks so customer onboarding becomes a streamlined, repeatable process.

8. Userlane

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In addition to customer onboarding features like personalization and interactive on-screen guidance, I like Userlane because it is specifically designed to increase trial conversions and help with customer retention. The platform does this by offering interactive guidance during free trials and demos so users can better understand a product’s benefits. This ultimately leads to more conversions, which is ideal for subscription companies looking for a low-touch onboarding tool.

What I like: Userlane is no-code, which makes it easy to launch an onboarding quickly and without costly development.

9. Customer.io

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Another data-driven customer onboarding tool is Customer.io. The customer engagement platform offers omnichannel messaging so you can communicate onboarding tasks with customers through their preferred channel, whether that’s in-app, via email, or with push notifications. You can also use real-time first-party data to personalize the message and A/B testing to optimize the onboarding experience.

What I like: I like how the low-touch onboarding gives customers autonomy while providing meaningful data for the customer success team.

10. ClickUp

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ClickUp is a project management tool that can be helpful to use during the customer onboarding process. The platform offers multiple views that work for every type of customer or collaboration, from grid to list to Kanban board. The tool also offers several templates that can be customized for your team’s onboarding process.

What I like: If you use ClickUp for project management, I think it’s convenient to use its templates and workspaces for customer onboarding, too.

11. Process Street

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Process Street is a checklist and process documentation system that allows you to create no-code onboarding workflows. Its process feature is AI-powered and can generate workflows and individual tasks, and its forms feature can be an easy way to gather customer information during the onboarding process.

What I like: Process Street has an extensive library of onboarding templates for different industries and customer scenarios.

12. IdentityCheck

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IdentityCheck is more of an add-on than a standalone customer onboarding tool, but it’s important to the process nonetheless. It lets you quickly verify your contacts from within your CRM platform, like HubSpot. The tool is designed for regulated industries that must meet compliance requirements. Still, I think it can be an extra safety measure for companies looking to create a more secure onboarding process.

What I like: The platform offers onboarding add-ons like workflow automation and user training if you want to expand beyond the identify check feature.

13. EverAfter

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EverAfter enables your team to create a white-labeled customer hub for low-touch onboarding. I like that EverAfter’s customer interface is interactive and collaborative, with interactive guides, progress trackers, and personalized dashboards.

What I like: EverAfter integrates with many tools and apps like HubSpot to sync your customer data.

14. Notion

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Notion is a collaborative workspace tool that functions well as a knowledge base or checklist within the customer onboarding process. You can create an onboarding checklist or workspace from scratch or use one of their templates. I’ve seen many people use Notion as a hub with information about their products, processes, teams, and more.

What I like: I personally love how Notion’s interface looks; it’s clean, simple, and easy to scan.

15. Onboard

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Unlike many of the customer onboarding tools on this list, Onboard does away with templates and instead creates auto-generated launch plans that are customized for each client based on customer data gathered during the sales process. I like how the platform automates a task list so you can focus less on the process and tasks and instead on spending time with your customers to provide a personalized experience.

What I like: I like how Onboard integrates with tools like HubSpot to automate and streamline customer data.

Making the Right Choice

If you’re overwhelmed with the onboarding options out there (I don’t blame you — there are many!), there are a few ways to narrow down the choices. Here are the features to look for in a customer onboarding tool.

Communication Features

The types of communication features you’ll want depend on how hands-on you want your customer onboarding process to be. If you want your customers to have a self-serve experience, then it’s important to look for in-app communication, like pop-ups that can guide them through the onboarding steps.

If you want better visibility into your customers’ onboarding journey and engagement levels, then you’ll want to look for a tool that provides real-time notifications whenever a customer completes a task.

Data Dashboard

In-depth data is a key feature to look for in your customer onboarding tool. Data into customer engagement and behaviors lets you know if your onboarding process is successful at training and informing new clients or if it could use improvement.

How engaged are new clients throughout onboarding? At what point are they dropping off or getting stuck? You need a tool that provides transparency into those analytics so you can continuously optimize your flows. You can also look for a tool that includes built-in forms for gathering consumer engagement data so you can automate the process.

Customization Capabilities

Customization is key to building trust and setting the tone with new clients. While one of the goals of a customer onboarding tool is to streamline the process — especially if you have a low-touch onboarding flow — it’s still important to add personalization so every new client feels important.

In fact, 90% of customers say they are willing to spend more time with companies that personalize the customer service experience.

Look for onboarding tools that offer templates. Templates make it easy to streamline your internal processes while still allowing you to customize your workflows and tailor each step to your clients’ needs.

Unified Platform

If you want to enhance the customer experience across teams, look for a unified customer platform. A tool focused specifically on the onboarding process is a great option for the customer success team, but a unified platform makes it easy to collaborate across different CX teams, such as support and success. Not only does this increase visibility across teams, but it also helps everyone stay within the same workflow without the need to switch between apps.

Best Practices for Implementing Customer Onboarding Tools

Once you’ve chosen your preferred customer onboarding tool, how can you make the most of it? I asked customer success experts for their best practices for implementing one.

1. Leverage the technology.

If you haven’t used a customer onboarding tool before, it can be tempting to stick with your old way of doing things, like manually creating and sharing onboarding docs for each client. However, customer onboarding software is designed to help your customer team save time and resources during the process, so let it do its job.

“Make technology work for you,” says Irene Graham, co-founder of Spylix. “As your new clients enroll and begin using your product, anticipate they will require assistance beyond that of your customer success team.”

For example, Clooney Wang, founder and CEO of TrackingMore uses ChurnZero for customer onboarding. One way he takes advantage of the technology is by ensuring automated alerts are turned on.

“These email alerts are crucial and help you address customer issues long before they are even aware of them,” says Wang.

2. Be flexible.

As you get acquainted with your customer onboarding tool and learn what works and doesn’t work for your customers and team, you may find the need to switch up your process. It’s okay to be flexible in your approach, suggests Graham.

“Do not anticipate your onboarding process to remain the same in the long run,” she says. “Allow your evolving clients and business to influence how you alter it. When working with ever-evolving humans, expect your procedures to evolve as well.”

Alison Lancaster, co-founder and CEO of Pressat, echoes that sentiment. She suggests having a standardized core onboarding process that allows for customization.

“Create a basic onboarding framework, but always personalize elements like video intros or kickoff agendas to give that white-glove treatment,” she says.

3. Analyze the data.

To truly understand how your onboarding process is performing, you need to look at the data in your customer onboarding tool. Where are your customers dropping off? Are they watching one of your training videos more than the others? These metrics will let you know where you can improve the process and if there’s a feature or tutorial you need to spend more time on when it comes to training.

Lancaster also recommends surveying your clients on their onboarding experience for anecdotal insight.

“At the end of onboarding, get direct feedback on what rocked and what needs improving,” she says. “An onboarding survey is pure gold for optimizing.”

Getting Onboarding Right

The best customer onboarding tools depend on what your team needs. If you’re looking for an all-in-one platform that connects your sales team to your customer success team, I recommend a connected tool like HubSpot. If you’re looking for a self-service customer onboarding tool, I like Dock for its templates and interactive interface.

Customer segmentation matters. Take it from one woman with an email inbox filled to the brim. I only click if the product being advertised is something I’d actually use. I appreciate the companies that take the time to learn about me and send me relevant offers.

I’m much more likely to purchase a product if it catches my interest, even if it wasn’t on my radar. And I’m not alone in that. 78% of consumers say they’re more likely to purchase from brands that personalize.

I get it, though. Customer segmentation is a big undertaking, and it can take your team a lot of time to sort your customer data manually. But with the right AI tool, you can get it done in no time.

Let’s look at the benefits of customer segmentation using AI and discuss the best AI tools for customer segmentation.

The Benefits of AI Segmentation

If you want to market your product or service better or meet your customers’ needs, you need to consider customer segmentation. Customer segmentation breaks your customer base into various subgroups. These subgroups can be based on multiple characteristics like:

• Demographics.
• Geographic location.
• Behaviors.
• Lifestyles, values, and interests.
• Needs.

Customer segments allow you to break your audience into smaller groups, so you can better understand their needs and preferences. Then, you can create better-targeted messages.

24% of marketers already use AI for audience segmentation. Here are the biggest benefits of customer segmentation using AI.

1. Better Data Analysis

If you’re wondering how AI works, here’s the short answer: AI quickly sorts large data sets to provide an in-depth analysis. These in-depth analyses better inform your research. In fact, 63% of marketers use AI for market research today.

Think about that concerning customer segmentation. It’s likely your company has various groups of customers, each with their own needs and preferences. You can quickly and easily sort your customers using AI based on various defining characteristics.

Plus, AI can provide you with a sentiment analysis, which can help you better understand how these customers feel about your product or service.

2. Bigger ROI

It’s no secret that personalization and segmentation are key to better marketing. Beyond that, with more advanced technology on the market, it’s expected. As technology advances, 73% of customers expect a personalized experience with a company.

Moreover, over half of consumers say they’ll become repeat buyers after a personalized experience. So, to increase your ROI, you need customer segmentation. Using AI to segment your customer lists accurately can help your marketing and sales teams with revenue-driven strategies.

3. Better Customer Retention

If customers are more likely to become repeat customers after personal experience with your brand, you also have a better chance of increasing customer retention. In fact, 62% of business leaders agree that improved customer retention is a benefit of personalization efforts.

AI can help you determine what your customer segments care about and how they feel about your product or service. So, appealing to their preferences, interests, and needs is almost a guarantee that you will keep those customers on your accounts.

4. Make Better Predictions

Segmenting your customers into various groups can help you learn more about their behaviors and patterns and predict how they’ll behave. However, this can be a huge undertaking for one person, especially since it requires a large amount of historical data.

AI tools use historical and real-time data to predict your customers’ behaviors. This is especially helpful for planning proactive measures rather than reactive ones.

5. Saves Your Team Time

The amount of time saved by using AI tools might be the number one benefit of customer segmentation using AI. According to a Salesforce survey, marketers who use AI tools save an average of five hours per week.

Sure, that time likely accounts for content creation and other tasks, but it also accounts for market and customer research, including customer segmentation. What used to take hours to complete by hand now takes only a few minutes.

Don’t believe me? It’s true. I tested whether AI, particularly ChatGPT, can segment your customers. And, as it turns out, it can.

Testing AI Segmentation

If I learned anything from my favorite professor in college, it’s this: always test things out. To see if AI can segment customers, I logged into ChatGPT to try it out. Here’s what happened.

The Scenario

I created a fictional health and wellness business to get the most out of using ChatGPT for customer segmentation. Then, I described my client base. Here are the most important details about my business, Fitness for You.

• The gym is open to:
  • Enthusiasts and beginners
  • Recreational members
• Age range: 18 to 80+
• Programs offered:
  • Weight training
  • Aerobics and water aerobics
  • Yoga
  • Cardio, including spin and treadmill classes
  • Corporate programs
• There are more female clients than male clients.
• Some clients are members because of the social aspect of the programs offered.

Using this information, I would like ChatGPT to sort my customers into the appropriate segments, including segments concerning:

• Fitness levels.
• Attitudes toward the gym.
• Program interests.

Running the Experiment

I first entered my company’s information to use ChatGPT for customer segmentation. The nice thing about ChatGPT is that it stores information, meaning there’s no need to keep reminding it of previous inputs.

After entering my company’s information, I asked ChatGPT to segment my customers based on fitness level. The key to using AI tools is to be specific. This is the prompt I used:

• “Using my business information, segment my clients into groups based on their fitness level. Provide a description of my clients and their fitness level. Deliver the results in a table.”

Pro tip: I’ve found that asking ChatGPT to deliver results in a table makes them easier to read. Plus, copying and pasting the results into Google Sheets is easy.

Next, I asked ChatGPT to separate my customers into groups based on their attitudes toward the gym. This is the prompt I used:

• “Using the same information about my customers and the segmented list, please segment them into groups based on their attitudes towards the gym.”

Here’s ChatGPT’s response:

I like that ChatGPT continues to deliver the results in the table. I also appreciate that the response gives a description of my client segment and a guess about their preferences.

The final segmentation I want ChatGPT to generate is groups based on my clients’ gym program interests.

This is the prompt I used:

• “Using the segmented groups, perform another segmentation. This time, segment my clients into groups based on their program interests.”

Here’s the final response:

ChatGPT’s response categorizes my fictional clients based on their potential program interests and describes why those clients may be interested in the program. Knowing this information, I could easily create marketing campaigns based on their interests and preferences and, hopefully, gain loyal clients to my gym.

What I Learned

ChatGPT’s customer segmentation of my fictional clients was spot on in the groups I would have created if I had done this by hand.

If I wanted to create customer personas and hadn’t already done that, I could use the information provided to me by ChatGPT to create a persona for each customer segment. Or, if I was short on time, ChatGPT could create the user persona for me.

With more information, like age range and fitness goals, I could segment my clients further into more detailed groups. This would help me narrow down my focus for more accurate personalization and a better customer experience.

AI Tools for Customer Segmentations

Looking for the best AI tools for customer segmentation? We’ve got you covered.

1. HubSpot AI

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If you’re already a HubSpot CRM user, what are you waiting for? HubSpot AI is an easy-to-use AI tool that you can use throughout the customer platform.

With HubSpot’s CRM capabilities and HubSpot AI, you can create customer segments using historical and real-time data. Use this tool to create effective marketing campaigns, inform product development, and turn your customers into loyal fans.

What I like: I like that HubSpot AI is available at all points of the HubSpot customer platform. This means users get up-to-date information about their customer segments.

2. Optimove

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The more information you can obtain about your customers, the better. Optimove is a multi-channel engagement platform providing a comprehensive overview of your clients from four sources.

The platform uses cluster analysis and algorithms to separate customers into similar groups. Once the initial groups are identified, Optimove takes it further and creates sub-segments based on behaviors, demographics, and real-time interactions.

What I like: The nice thing about Optimove is that once you’ve segmented your audience, you can use control and test groups to A/B test marketing campaigns.

3. BlastPoint

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BlastPoint is an AI customer segmentation tool that aims to provide you with optimized marketing solutions. It promises to help you understand your customers at a household level, meaning you’ll gain insights into their behaviors, demographics, and values.

The best part about BlastPoint is that, using its AI technology and your customer data, you can create as many filters as you need until you feel you have the appropriate customer segments.

What I like: I appreciate BlastPoint’s mission to help you become a more customer-centric company, regardless of industry.

4. Heap

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When considering customer segmentation, you might think of grouping clients based on characteristics, like demographics. Heap thinks about customer segmentation differently. Instead of segmenting customers based on their characteristics, Heap’s algorithm groups your audience based on their actions with your website.

Heap easily integrates with your existing technology, allowing you to create segments wherever your customers are. Heap also enables users to conduct A/B testing, create personalized campaigns, and build targeted user guides based on customer segment data.

What I like: I like that Heap focuses on actions rather than characteristics. Knowing this information is useful for creating user guides and a better knowledge base.

AI Segmentation Best Practices

Using AI for customer segmentation is an excellent way to identify the various customers on your accounts quickly. By understanding their actions and behaviors, you can quickly boost conversions by providing relevant information and messages to your audiences.

If you plan to implement AI into your customer segmentation strategy, follow our experts’ and our best practices.

1. Define your goals.

You might choose to create a customer segmentation strategy for several reasons. For example, you might use it to redefine your marketing strategy or inform your business processes like Chuck Schaeffer, CEO of Johnny Grow.

Schaeffer’s team uses AI to dynamically map each customer into a customer segment. The segments can then be used to allocate resourcing and align business processes based on customer contribution.

For example, Schaeffer notes that the team may deliver high-touch customer support for high-contribution customers. Meanwhile, self-service support is available for low-contribution customers.

“Defining business processes by customer type or segment is extremely effective in growing revenues and margins from high-contribution customers and lowering cost-to-serve for low or negative-margin customers,” Schaeffer says.

Schaeffer’s team also uses AI to rank customer segments from most to least profitable.

“Identifying customers that contribute negative profits to the company creates an opportunity to plug those profit leaks. Reducing costs to serve these customers creates an alternative to discontinuing these customer relationships,” Schaeffer says.

2. Provide your AI tool with the most accurate data.

AI tools work best when your data is clean, error-free, and accurate. In my experiment asking ChatGPT to segment my fitness clients, I realized more data would have provided me with better results.

If you have the data available, use it. You might be surprised at the information you learn about your customers and their behaviors and preferences.

3. Catch customer interactions early and often.

Customer behavior will change throughout the customer journey. Collecting behavioral data when customers first interact with your company is best.

Ricardo Madan, senior vice president of TEKsystems Global Services, notes that these interactions — from inquiries, issue resolution, bill pay, order reconciliation, and problem — can inform AI and ML predictive analytics tools.

These insights “make these experiences more seamless for the users and more efficient or profitable for the companies they’re working with,” Madan says. “All of this is optimized when the analytics effectively segment users earlier in the customer experience.”

4. Personalize, personalize, personalize!

One of the main reasons you should create a customer segmentation strategy is to provide relevant information to your audiences. Once you understand them, use what you’ve learned to your advantage.

Lisa Richards, CEO and creator of the Candida Diet, uses AI tools to help her create segmented lists. She sends better, more personalized messages to her audiences using the information about her lists.

Richards says, “Our AI engine uses customer data, such as transaction history, quiz responses, and browsing behavior, to segment customers by their candida severity and unique needs and prepare content chunked for their context.”

For example, those who are new to the Candida diet may receive easy-to-follow meal plans, while those who are already used to the diet may be served a different recipe recommendation.

“Implementing AI-powered segmentation has resulted in a 20 percent uplift in customer engagement with content, as users are now served up resources that are most relevant to them,” Richards says.

Can AI Segment Your Customers? Yes!

Customer segmentation helps grow your company and better understand your customers. You can uncover meaningful insights using AI and your company’s valuable data in a few minutes. Talk about time saved for your teams!

The trick to using AI is to ensure your data is clean and error-free. AI tools are only as good as your data, so keep that in mind when running customer segmentation prompts!