A single retention average can hide the customer group that already gets value from your product. In this lesson, Carlos Sanabria explains how different retention patterns can point a founder toward a more focused investigation.
The aim is to decide what to learn or improve next. A curve can show where to look, but understanding the people behind it is what makes the result useful.
What you'll learn.
- Compare retention across meaningful customer segments.
- Look for the users who continue receiving value.
- Use a pattern to guide research instead of treating it as a complete diagnosis.
Read the shape before choosing a response.
The recording compares a curve that keeps declining, a curve that settles at a sustained level and a pattern in which engagement returns after an initial drop. These shapes tell different stories about continued use.
Start by checking what the graph measures and which users it includes. Registrations, active use and returning customers describe different things. The useful comparison follows a consistent behavior across comparable groups.
Investigate continuing decline.
If users across the segments you examine keep leaving, revisit the problem you are solving and the audience you are attracting. Carlos connects this pattern to customer interviews and the earlier questions about product-market fit.
Use it as a reason to investigate, rather than assuming the graph alone proves a market problem. Ask what people expected, whether they reached value and why they stopped. The answer may point to positioning, the product itself or the path into it.
Focus on the segment that stays.
If one customer group continues using the product, identify what its members have in common. Their work, circumstances and reasons for using the product can help explain why the experience is useful to them.
That evidence can inform both the roadmap and marketing. Build for a clearer need, explain the relevant value and look for more customers with similar characteristics. This is more specific than attempting to improve retention for an undefined average user.
Improve the route to value.
When some users remain but retention is low, compare how those users reached a useful outcome with the experience of people who left. An activation problem can remain hidden when the team measures only setup and registration.
The lesson also considers returning engagement and growth from a satisfied user base. Use separate evidence to understand reactivation or referrals; a retention chart alone does not explain the mechanism. Choose the next research or product change based on the segment and behavior you can actually observe.
Retention becomes more actionable when you can describe who stays, what they do and why it matters. Start there, then choose a focused experiment to help similar users reach lasting value.
