Why Product Managers Have Been Measuring Customer Churn All Wrong (And How to Fix It)

Customer churn is the ultimate nightmare for any Product Manager (PM). It’s the silent killer of SaaS businesses, creeping up slowly and eating away at revenue before you even realize what’s happening. Naturally, PMs spend a lot of time tracking churn, trying to understand why users leave and how to keep them around. But here’s the hard truth: most PMs have been measuring churn incorrectly.

If you’re using basic churn formulas or relying solely on traditional metrics, you might be missing the bigger picture. Churn is more than just a number on a dashboard. It’s a story of unmet expectations, bad onboarding experiences, and users who never saw the real value of your product.

Let’s explain why most churn measurement approaches are flawed and, more importantly, how to fix them.

What is Customer Churn?

Think of churn as a hole in the bottom of a watercraft. The size of the boat increases as the number of consumers increases. However, even the largest vessel will encounter difficulty in maintaining its buoyancy in the presence of a substantial breach in its hull.

Churn is the monthly percentage of consumers who discontinue paying for your product as a subscription service. However, the meaning of this equation is frequently obscured by the inclusion of supplementary numbers, despite its apparent simplicity.

Upgrades, downgrades, and seasonal consumers must be considered in addition to annual contracts. Some organisations engage in a debate regarding the appropriate approach to incorporating free trialers, while others organise their consumer base into cohorts. In reality, 43 distinct churn formulations can be accounted for.

Three Main reasons for customer churn

Instead of going through a long list of surface-level reasons why people leave, we'll get to the heart of the matter:

1. Bad customer-product fit
2. Bad customer service
3. Price problems

If you think about it, all of the reasons you hear from customers or read online boil down to these simple issues.

Let's go over each one now:

Bad customer-product fit

A bad customer-product fit means that the product doesn't work well with the needs, expectations, or processes of the customer.

This can happen if the way a product is marketed or set up attracts users who aren't the best fit for the uses the product was made for. For instance, when a SaaS tool is meant for advanced data analytics but gets new users who will find it too hard to use and not having enough helpful instructions.

In this case, the difference between what the customer wants and what the product can do causes them to become unhappy quickly and leave the company.

To avoid this:

• During the marketing and training process, make sure that people understand the best ways to use the product.
• Plan your onboarding process and marketing efforts to bring in customers who are a good fit for the product.
• Segmentation lets you tailor welcome and messages to each user's needs.
• Not good customer service
• When customers have problems and don't get quick, helpful customer service, it makes them angry, which can make them leave.

For example, if a customer keeps having technical problems and gets slow or useless answers to their support tickets, they might choose to switch to a competitor with faster service.

Poor Customer Service

But good customer service is more than just fixing technology problems. It also means effectively addressing problems and giving people solutions that help them get what they want.

To fix this:

• Spend money to teach your customer success and support teams how to fix problems quickly and with empathy.
• Set up a way for customers to tell you about their service experiences. Then, use the comments to make the experience better for your customers and let your users know about it.
• If you see signs of churn, like low activity, negative NPS, stunted results, etc., use a tool like PLG OS to find them and offer proactive customer support to address their issues before they happen.

Price problems

It's not about getting cheaper; it's about making sure the price is fair for what the product gives you. According to the Harvard Business Review, increasing customer retention by just 5% can boost profits by 25% to 95% — a compelling case for why retention deserves your focus.

If buyers think your product costs too much for its worth, they'll go with a competitor who they think sells the same thing for less money.

Also, users may leave if the prices don't consider the needs of different groups of customers, making it hard for some to explain the cost. For instance, if a new business signs up for a paid tool, it may later cancel or lower it if it decides that the cost is too high for what it needs at the moment.

When you're having trouble with pricing, ask yourself if the price of your product matches how much people think it's worth. This is what you can do if it doesn't:

• Instead of lowering the price of your goods, make it seem more valuable.
• You might want to offer tiered prices to make the product available to a wider range of customers.
• If you already have a pricing plan, review it again to ensure there are no mistakes. Then, check out your competitors' prices to ensure you stay in line.
• Set your prices in a way that will appeal to both new and old customers.

The Wrong Way to Measure Churn

In the “Startup Chat” podcast, Hiten Shah gives an example from his marketing analytics company, Kissmetrics. They looked at engagement after onboarding, and realized that low engagement in this early period meant that those people were likely to churn within 90 days.Most PMs take a straightforward approach to measuring churn:

• Count the number of users who cancel in a given month
• Divide that by the total number of users at the start of the month
• Express it as a percentage

That gives you your monthly churn rate. Sounds logical, right? The problem is, this method oversimplifies a complex issue and often leads to misleading conclusions.

Here’s why:

1. Treating All Churn the Same Way

Not all churn is equal. A user who cancels after three days because they found a better alternative differs from a long-time user who left after years of loyalty. Measuring them similarly gives an inaccurate picture of your product’s health.

The Fix: Break down churn into different categories:

• Early-stage churn (users leaving within the first few weeks)
• Mid-term churn (users leaving after a few months)
• Long-term churn (loyal users who eventually disengage)

Analyzing churn in segments helps you understand whether your problem is poor onboarding, a weak value proposition, or declining engagement over time.

2. Focusing Too Much on the Percentage

PMs love metrics, and churn percentage seems like a great way to track user retention. But looking at just the percentage can be misleading. Imagine you lost 10 customers out of 100 last month. That’s a 10 percent churn rate. Now imagine you lose 10 customers out of 1,000 the next month. Your churn percentage drops to 1 percent, but you still lost the same number of customers.

The Fix: Track absolute numbers alongside churn percentage. If your customer base is growing but absolute churn remains the same or increases, you still have a retention issue that needs fixing.

3. Ignoring Revenue Churn

Most PMs track user churn, but what about revenue churn? Losing one big-paying customer could hurt more than losing ten small ones. If your high-value customers are leaving, your churn problem is much worse than it looks on paper. According to Forbes, returning customers spend 67% more than first-time customers.

The Fix: Separate customer churn from revenue churn and analyze them separately. A healthy SaaS business should aim to keep its revenue churn lower than customer churn, ideally offset by expansion revenue from existing users.

4. Only Looking at Voluntary Churn

When customers actively cancel, that’s voluntary churn. But what about the ones who just stop using your product without formally canceling? This is involuntary churn, and it’s often a hidden killer.

Involuntary churn can happen due to:

• Failed payments
• Expired credit cards
• Users who simply forgot they had a subscription

The Fix: Implement smart retention tactics like dunning emails (reminders about failed payments) and automatic retries for payments. Many SaaS companies recover a significant percentage of lost revenue just by addressing involuntary churn.

How to Measure Churn the Right Way

If traditional churn measurement is flawed, what’s a better approach? Here’s a framework to get churn tracking right:

1. Segment churn into early-stage, mid-term, and long-term users
2. Track both customer churn and revenue churn separately
3. Monitor voluntary vs. involuntary churn
4. Analyze churn alongside engagement metrics
5. Use cohort-based retention analysis instead of just monthly churn
6. Recover lost customers through dunning management
7. Learn from loyal users, not just the ones who leave

This approach will give you a deeper, more accurate understanding of why churn happens—and, more importantly, how to stop it.

Final Thoughts

Churn is one of the most important SaaS metrics, but most PMs have been measuring it the wrong way. A simple percentage doesn’t tell the whole story. You need to dig deeper into who is churning, why they are leaving, and what behavioral patterns predict churn before it happens. The best SaaS companies don’t just track churn.

They anticipate it, prevent it, and actively turn potential churners into long-term customers. So next time you look at your churn dashboard, ask yourself: Are you really measuring churn the right way, or just scratching the surface? Book a call with us today to reduce your churn and get started!!

FAQs

1. What is customer churn, and why does it matter to product managers?

Customer churn is the rate at which users stop using a product or service. It matters because high churn can signal deeper issues with product value, user experience, or customer satisfaction.

2. How have product managers traditionally measured churn incorrectly?

Many rely only on simple metrics like cancellation rates without digging into user behavior, engagement signals, or why customers leave, leading to incomplete or misleading conclusions.

3. What are better ways to measure customer churn?

Product managers should combine quantitative data like usage patterns with qualitative insights like exit surveys to fully understand customer decisions and predict churn earlier.

4. Why is early churn detection important?

Catching churn signals early helps teams take proactive steps, like personalized re-engagement campaigns or product improvements, to prevent users from leaving altogether.

5. How can product managers fix their churn measurement strategy?

They should track meaningful engagement metrics, segment customers based on behavior, listen actively to feedback, and continuously refine their approach with real-time data.