Customer Churn

Six strategies to combat customer attrition

By
Alex Atkins
November 29, 2022
5 min read

Customer attrition is a certainty for any SaaS company. The simple truth is that you will lose customers over time. Sometimes this attrition is out of your hands. However, at other times, you can directly impact whether or not it occurs. This post will explain customer attrition and how you can proactively mitigate it.

What is customer attrition?

Customer attrition is the natural process of customers leaving a company or product for one (or more) reasons. Customer attrition can be broken down into two categories: voluntary and involuntary attrition. 

Voluntary attrition is when the customer chooses to end their subscription. A customer may decide to leave for various reasons. Perhaps that customer is dissatisfied with your service and has moved on to one of your competitors. Maybe they no longer require the service you're offering.

Involuntary attrition is when a customer fails to make a payment, leading to their subscription being canceled. Maybe your customer has been acquired. Alternatively, your customer may have stopped paying bills and is on the verge of going out of business. Involuntary attrition is arguably more frustrating since there's little you can do to prevent it. For that reason, SaaS companies tend to focus on managing voluntary attrition.

Whatever the reason, SaaS business leaders should not take customer attrition lightly. Why? Because customer attrition impacts the bottom line. According to Invesp, it can cost companies up to five times more to acquire a new customer than to retain an existing one. Moreover, Totango's Guy Nirpaz states, "70–95% of SaaS revenue comes from retention and expansion of existing customers." For SaaS companies, net dollar retention, or NDR, is the lifeblood of the business.

NDR provides a revenue-based view of customer retention. NDR is increasingly important as you scale from small to medium-sized businesses and beyond. For example, a $5MM company that churns 20% can replace that $1MM with net new business when it's growing by +50% a year. But when a $30MM business needs to return $6MM due to customer attrition, this becomes significantly difficult if the growth rate slows.

It should go without saying that improving customer attrition rates should be a top priority for SaaS business leaders. But how? Where should they start? Here are some tips.

Six strategies to combat customer attrition

1. Listen to customer feedback and act on it.

Listening to your customers is more complicated than it sounds. And yet, customer feedback is the single most crucial element in reducing customer attrition. SaaS companies collect daily customer information but need to convert it into valuable, actionable data. Let's face it, NPS and CSAT scores hardly tell the whole story. Usage Data is excellent but can be misleading without context. Survey data is unreliable. That's where Customer Intelligence (CI) tools like Sturdy come in. Customer Intelligence is collecting and analyzing key customer-generated data to glean crucial insights such as risks, trends, and opportunities—all of which help drive revenue. CI is critical in unlocking customer insights, often using advanced data sciences like artificial intelligence, machine learning, and natural language processing. CI allows you to distill the insights from the noise so your team can take the following best action. Without CI, you're only half-listening to your customers.

2. Make sure customers are getting value.

One way to keep your customers is to make sure they understand the value they're getting. You can do this through effective onboarding and by setting expectations appropriately. Another way to ensure value is to go above and beyond expectations. This could mean offering extra features or benefits at no additional cost. It could mean providing superior customer service or simply doing whatever you can to ensure your customers are happy. By focusing on value and exceeding expectations, you can ensure your customers are satisfied with their purchase and more likely to stick around.

3. Keep communication open and transparent.

Keeping communication open and transparent with customers is essential for success. Through transparent communication, businesses can ensure customer attrition rates remain low, and customer satisfaction remains high. A ZDNet study concluded that "Organizations can reap rewards from being transparent. Nine out of 10 people (89%) said a business can regain their trust if it admits to a mistake and is transparent about the steps it will take to resolve the issue. A similar ratio (85%) are more likely to stick with them during crises." 

4. Maintain product-market fit.

Product-market fit describes your product's ability to deliver value to customers. If your customers stay with you and keep paying their subscriptions, you're in a good place. However, product-market fit is by no means the end of the line. It isn't a box you can check off and then forget about. To succeed, your product needs to continuously evolve to meet customers' needs.

Early on, your top priority is feedback when you are working towards validating product-market fit. While collecting quantitative data like engagement metrics and survey scores is helpful, capturing your customer's unbiased, unabridged, and unsolicited voice is the most important thing to do. This is only possible with the help of a Customer Intelligence platform.

5. Offer customer incentives and loyalty programs.

We've previously explained why incentive programs are essential and provided five steps to build a successful one at your company. Customers loyal to a company are more likely to recommend the company to friends and family. Customer incentives and loyalty programs can be a great way to show customers that you appreciate their business. They can also be a great way to encourage customers to continue doing business with you.

6. Provide a reliable and proactive customer experience

Customer attrition is a "rearview mirror" metric. Traditional reports and surveys capture what's happened in the past. With Customer Intelligence, you have valuable insights at your fingertips to look forward through the "windshield" and to see around the corners along the way.

Our research shows that 65% of accounts with an executive change churn within 12 months. Teams that act on executive change signals within the first 48 hours of discovery have a 33% higher likelihood of renewal.

Using innovative data sciences like AI, ML, NLP, and deep learning, Sturdy analyzes every email, support ticket, chat, and more for specific insights. This empowers your teams to focus on relationships that drive revenue. 

Conclusion

By understanding customer attrition, SaaS business leaders can proactively address customer dissatisfaction before it becomes an issue and continually improve customer loyalty and value. This is a critical factor in any business's success, so it should be noticed. By listening to customer feedback and implementing strategies that keep customers engaged and satisfied, companies can ensure customer attrition rates remain low, and their bottom line remains healthy.

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Nearly every B2B tech and services company sees the same pattern: when these signals align, it’s time for action.

Hold on, what is unstructured usage data? It’s the raw, untamed data that tells you what customers are *really* doing and saying—not just what they’re willing to admit in a survey or conveyed by numbers of daily average logins (also critical but lacking context). Here are the harbingers of risk; when combined, they are what the team needs to act on right now. 🧯

1️⃣ Budget Issue: This signals a customer struggling to justify the cost, possibly due to tighter budgets or a perceived lack of value.

2️⃣ Unhappy: Customer dissatisfaction can stem from unmet expectations, unresolved issues, or lack of engagement.

3️⃣ Value Issue: If a customer doesn’t see the ROI, they’ll start questioning the worth of your service.

4️⃣ Urgent: An urgent flag indicates an immediate problem that requires rapid action. They are expressing a need to engage with a teammate now.

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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.

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Burton's Broken Zippers

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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.

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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.

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

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