Customer Churn

How to reduce customer churn rate

By
Joel Passen
November 8, 2022
5 min read

In any business, customer churn—or the percentage of customers who stop using your product or service—is inevitable. Cancellations happen. But that doesn't mean you should just roll over and accept it. There are things you can do to decrease customer churn and protect what is arguably the most important aspect of revenue — the longtail subscription revenue of your customer accounts. Let's take a look at the seven most effective strategies for decreasing customer churn.

1. Understand the most common reasons for customer churn.

The first step in dealing with customer churn is to diagnose why the customer is canceling in the first place. There could be any number of reasons, but consistent themes and topics will emerge with the analysis. Churn doesn't happen in a vacuum. It's a culmination of bug reports, feature requests, executive changes, response lags, unhappy sentiment, contract requests, renewal inquiries, and more.

If your team receives one or two pieces of feedback from a customer expressing frustration, it might not be the beginning of the end of the relationship. But, what about 10 times in 30 days? What if that customer is still in the onboarding phase of their journey? You'd want to know. And, more importantly, you’d want to take action to repair that relationship. 

2. Elevate customer engagement early on. 

Speaking of the onboarding phase, the first few weeks and months after a customer signs up for your product or service are crucial. This is when they get to know your product and develop a relationship with your team. Most importantly, this is when customers determine whether your service is really going to drive the value outlined in the sales process. If you can increase engagement during this period—through things like work sessions, listening workshops, self-service content, regular check-ins, etc.—you can set your customers up for success and decrease the likelihood that they'll churn later on.

3. Listen deeply to what customers are saying.

As previously mentioned, certain insights can be indicative of future churn—things like executive changes, contract requests, questions about the contract terms, unhappy sentiment, etc. By listening for these insights, you can proactively identify opportunities to guide the relationship early on and take steps to prevent them from turning into bigger issues down the road. Traditionally, for most B2B SaaS enterprises, this process hasn’t been scalable. Listening to your customers at scale is nearly impossible. Luckily, new developments in AI and machine learning have enabled customer intelligence platforms (CIPs) to analyze every email, support ticket, chat, and more for specific insights that empower your teams to focus on relationships that drive revenue. 

4. Take action on customer feedback quickly. 

If customers feel like their voices are being heard and that their feedback is being acted on, they're much more likely to stick around. As a baseline, make sure you have a system in place for collecting customer feedback (surveys, Net Promoter Score® emails, etc.) and that you're regularly reviewing that feedback to see what changes you can make to improve the customer experience. Additionally, take a step beyond soliciting feedback to ensure you’re capturing customer sentiment at scale. Nothing is more powerful than the unabridged, unbiased voice of the customer. As we mentioned earlier, that can only be accomplished at scale through a customer intelligence platform.  

5. Understand what features and services your customers want most. 

Find ways to add value for your customers—through things like upselling, cross-selling, or simply offering new features or services—you can reduce the likelihood of them canceling their subscription. At the end of the day, customers are either growing with you or away from you. Identifying trends in what your collective customer base asks for the most is a surefire way to keep your customers growing with you. Customers who feel like they're getting more bang for their buck are less likely to look elsewhere for a similar product or service staving off painful losses to competition.  

6. Provide the level of service you’d expect as a customer.

One of the best ways to prevent customers from churning is to provide them with the level of customer service you’d expect as a customer. If your customers feel like you're listening to their concerns, issues, and suggestions and that there is some actionable output, they’ll be less likely to look to a competing product that can provide them with what they need. The root of excellent customer service starts with simply listening and taking the next best action. Adopt the mantra of listening, acting, and improving. 

7. Seek to develop advocates, not just keep customers. 

Customer-obsessed companies don’t just service customers, their goal is to create advocates. Customer advocates are the ultimate customers. They serve as references and speak at industry events and webinars. They provide success stories, product reviews, and quotes for your marketing team. Developing advocates is about putting your customer first, and putting your customer first starts with listening at scale. It’s high time to start using all the feedback your customers give you daily to better understand their wants, needs, and issues so you and your teams can take the necessary action.  

For most B2B SaaS companies, customer churn is what we call the CODB — the cost of doing business. But the fact of the matter is that churn is a “rearview mirror” metric. Traditional telemetry-based reports and customer health scorecards capture what’s happened in the past, and most of the time, if you’re dealing with churn, you’re already too late. With CIPs, like Sturdy, you have valuable insights at your fingertips to look forward through the “windshield” and to see around the corners along the way. This allows you to detect and combat churn before it happens. It’s like a lead-gen for building more durable, profitable relationships. 

Similar articles

View all
Customer Retention

Improving Revenue Retention in 2025

Joel Passen
November 15, 2024
5 min read

If improving revenue retention is a key priority in FY25, here is some food for thought. If you believe data is the essential foundation for improving retention, imagine the possibilities with 50-100x more data about your customers. Here’s the thing: Every business has this customer data, but 99% of businesses are sleeping on a data set that could change their business. It’s the unstructured data that’s sitting in ticketing systems, CRMs, chat systems, surveys, and the biggest silo by volume - corporate email systems. Most of us still rely on structured data like usage, click rates, and engagement logs to gauge our customers' health. However, structured data provides only a partial view of customer behavior and revenue drivers. Unstructured data—like customer emails, chats, tickets, and calls —holds the most valuable insights that, when leveraged, will significantly improve revenue outcomes.

Why Unstructured Data is Essential for Revenue GrowthImproving Customer Retention: Unstructured data helps businesses identify early warning signs of dissatisfaction, allowing them to create proactive interventions before customers churn. Repeated mentions of poor experiences, response lags, product-related frustration, and more in call transcripts, cases, and emails indicate potential churn risks. By identifying these trends while they are trending, businesses will improve retention.

Fueling Product Innovation: Let’s face it: Our customers bought a product or service. Post-sales teams don’t develop products and are limited in what they can directly impact. Product teams need more unbiased, unfiltered contextual customer data, and they need it consistently. Unstructured data provides real-time feedback on how customers use products and services. Businesses can analyze customer feedback from multiple channels to identify recurring requests and pain points. This data fuels product innovation and informs customer-led roadmaps that lead to higher engagement rates and more profound value. Developing products that directly respond to customer feedback leads to faster adoption, better advocacy, and a competitive advantage.

Identifying Expansion Opportunities: Unstructured data reveals customer needs and preferences that structured data often overlooks. Businesses can uncover untapped expansion opportunities by analyzing email, chats, and case feedback. These insights help identify additional products or services that interest customers, leading to new upsell or cross-sell possibilities. To drive immediate improvements in revenue retention, the key isn't pouring resources into complex churn algorithms, chatbots, or traditional customer success platforms—it's being more creative with the data you're already collecting. Start listening more closely to your customers, identify the patterns in their pain points, and share this knowledge with your peers who can improve your offerings. This is the year to start thinking outside of the box.

Customer Retention

Burton's Broken Zippers

Steve Hazelton
November 15, 2024
5 min read

Last year, I bought a pair of ski pants and the zipper fell out on the first chair lift. I called Burton, and they offered an exchange. New pants, first chair, same problem. Support informed me that I was required to return the pants for repair. The repairs would be completed after ski season. For the inconvenience, Burton offered me a 20% discount on my next purchase of skiwear. The next time I am in the market for skiwear that I can't wear during ski season, I will use that coupon.

I started my first business over 25 years ago. Since that day, I have lived in an almost constant state of fear that somehow, somewhere, things would get so broken that we'd treat a customer like this.

Let's be clear, no one who runs a business wants stuff like this to happen. Yet, it happens all the time.

If you run a software company, your engineering team will have usage tools and server logs to tell you when your product is "down" or running slowly. They can report which features are being used and which ones aren't. You'll learn that certain features in your product cost more to run than others, maybe because of a bad query, code, or something else. And you'll know what needs to be upgraded.

However, every time a customer contacts a business, they are "using" (or "testing") your product. If you sell ski pants, your product is ski pants, and your customer service team. If you sell software, your product is your tech and your customer service.

Yet, your customer-facing teams have very poor usage data, if any at all. Which feature of our service gets used the most (billing, success, support)? What are the common themes? Is one group working more effectively than the others? Does a team need an upgrade? 

(BTW, what costs more, your AWS bill or your payroll?)

The reason your customer-facing teams don't have usage data is because this data is "unstructured," and it is everywhere. Imagine if your engineering team needed to check 50 email inboxes, 1,000 phone recordings, a CRM, and a ticket system to get your product usage statistics. 

That's where your customer-facing teams are today. Until you can get answers from these systems as easily as an engineer can, you’ll continue to churn, annoy customers, and try to hire your way out of a retention problem. It won’t work.

AI & ML

Navigating AI Ethics

Joel Passen
October 14, 2024
5 min read

The question is no longer about whether you will use AI; it’s when. And no matter where you are on your journey, navigating the ethical implications of AI use is crucial. Ethical AI is not just a buzzword but a set of principles designed to ensure fairness, transparency, and accountability in how businesses use artificial intelligence. In the case of Sturdy, we’ve made ethical AI a core commitment. These principles guide our every move, ensuring AI benefits businesses without crossing the line into unmitigated risk.

What Is Ethical AI?

Ethical AI refers to developing and deploying AI systems that prioritize fairness, transparency, and respect for privacy. For businesses, this means using AI to make smarter decisions while ensuring that the data and technologies used do not cause harm or reinforce biases. The importance of this cannot be overstated—AI has the potential to either empower or exploit, and ethical guidelines ensure we remain on the right side of that divide.

Sturdy’s Commitment to Ethical AI

Sturdy's approach to AI revolves around several inviolable principles:

  1. Business-Only Data Use: Sturdy’s AI systems focus solely on improving how businesses make decisions. They don't delve into personal data or manipulate information for other purposes. The data processed by Sturdy comes from business sources like support tickets, corporate emails, or recorded calls—never from personal channels.
  2. No Ulterior Motives for Data: The data collected by Sturdy is knowingly provided by our customers, and the company doesn't use this data for any purpose beyond what's agreed upon. This ensures transparency and trust between the platform and its users.
  3. Privacy and Protection: One of the most critical aspects of Sturdy’s approach is its commitment to not allowing any entity—whether a business or government—to use its technology in ways that violate privacy. If a client were found to be doing so, Sturdy would terminate the relationship.
  4. No Deception: Our product is engineered to prevent deception. It never manipulates or deceives users, ensuring that the insights drawn from AI are used to enhance business practices rather than exploit loopholes.

Human Oversight and the Role of AI

At the core of Sturdy’s AI principles is the belief that AI should not replace human decision-making but augment it. Our Natural Language Classifiers (NLCs) are built to detect risks and opportunities based on the probability that a conversation indicates a particular issue. For example, when a customer complains about a "buggy" product, Sturdy’s AI might tag it as a "Bug" and label the customer as "Unhappy." However, humans remain in control—analyzing the situation and deciding the best action.

Final Thoughts

Sturdy's approach to AI exemplifies how businesses can responsibly use technology to drive growth and improve operations while safeguarding ethics. They demonstrate that AI doesn’t need to infringe on privacy or replace human decision-making. Instead, AI should be a tool that empowers teams, ensures transparency, and upholds ethical standards. Navigating the ethics of AI is not just a challenge—it’s an ongoing commitment, and Sturdy is setting a new standard for how it should be done.

How many customers will you have to lose before you try Sturdy?

Schedule Demo
A blue and gray logo with a black background
A number of different types of labels on a white backgroundA white background with a red line and a white background with a red line andA sign that says executive change and contact request
A white background with a red line and a blue lineA number of different types of logos on a white backgroundA pie chart with the percentage of customer confusion and unhappy
A number of graphs on a white background