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Customer retention: understand cohort analysis in your SaaS

Thiago Rodrigues|June 17, 2025
Dashboard
Customer retention: understand cohort analysis in your SaaS

📊 What is a customer retention cohort?

Customer retention cohort analysis is one of the most useful ways to understand customer behavior over time. It allows SaaS companies and businesses in many other industries to identify usage patterns, critical churn points, and retention opportunities.

But after all, what is a cohort?

In simple terms, a cohort is an analytical technique that groups users by a shared characteristic, usually their first purchase date or registration date, and then tracks their behavior over time.

In customer retention analysis, we measure how many users continue using a product or service after a certain period. That helps reveal exactly where customers start dropping off in their journey.

For example, if a large portion of customers stop consuming a product after four months, that may point to issues such as:

  • ❌ Low perceived value
  • ❌ Poor onboarding experience
  • ❌ Inefficient support
  • ❌ Recurring bugs

Those findings are extremely valuable because they help adjust processes and retain more customers efficiently.

🎯 Benefits of retention cohort analysis

Understanding customer retention cohorts allows companies to make more strategic decisions. Here are a few of the main benefits:

  • Churn pattern identification: understand when and why customers leave your product.
  • More effective retention actions: create strategies tailored to each stage of the customer journey.
  • Data-based decisions: allocate effort and budget where they create the most impact.

It also works well when combined with other engagement and churn metrics, giving you a broader view of business health.

📊 Explore the dashboard

Although cohort analysis is widely used in companies, many people still struggle to interpret it or are not even aware it exists.

That is why I created an interactive visualization that makes the concept easier to understand and much more actionable.

When you interact with the chart, a dynamic tooltip displays key information such as:

  • Customer cohort period
  • Initial and current number of customers
  • Elapsed time since acquisition
  • Metrics in both percentage and absolute values

That way, even people who are just starting can quickly understand retention behavior and make better-informed decisions.

In short, this approach makes the chart more intuitive, more strategic, and more useful in practice.

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