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Stopping the Bleeding

The leaky bucket. Learn how to analyze why users leave and how to build a product that keeps them coming back for more.

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Retention

Technical Specification //

Keeping users happy.

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Acquisition is expensive; Retention is free.

1The Three Types of Churn

Voluntary Churn (they chose to leave), Involuntary Churn (payment failure), and Happy Churn (they solved their problem and don't need you anymore). You must tackle each differently.

2Cohort Analysis

Don't look at average retention. Look at cohorts. If your latest cohorts have better retention than your old ones, your product improvements are working.

3Resurrecting Users

It's 5x cheaper to keep an existing user than to find a new one. Use win-back campaigns and feature announcements to bring 'dormant' users back into the active pool.

4Step-by-Step Breakdown

Retention is the percentage of users who continue to use your product over time. Churn is the opposite—the percentage who leave.

A healthy product has a retention curve that flattens out over time. If the curve goes to zero, you have no product-market fit.

Cohort Analysis helps you see if your product is getting better. Are users who joined in March more retained than those who joined in January?

If you have 1,000 users at the start of the month and 50 of them cancel their subscription by the end of the month, what is your Churn Rate?

→0.5%
→5%
→10%
→50%

What is the 'Magic Number' or 'Aha! Moment' in retention analysis?

→The number of times a user opens the app
→A specific action or set of actions that, once completed, significantly increases the likelihood that a user will be retained long-term
→The price of the product
→The number of engineers on the team

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Advanced cheat sheets, SEO tricks, and interview prep for this topic.

Browser Support

ChromeSupported

Fully supported.

FirefoxSupported

Fully supported.

SafariSupported

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EdgeSupported

Fully supported.

Accessibility (A11y)

1Color Isn't the Only Signal

Retention dashboards often use only red/green heatmaps to flag 'good' vs 'bad' cohorts. Colorblind stakeholders and screen reader users need the same information conveyed through numeric labels or explicit status text, not color alone.

<td aria-label="March cohort, Day 30 retention: 58 percent, below target">58%</td>

SEO Implications

1
Definitional Search Intent
Queries like 'churn rate formula' or 'what is a good retention curve' are typically answered best by content that states the exact calculation and a worked example within the first few paragraphs, rather than burying it under general commentary.

Best Practices

Segment Before You Average

A blended monthly churn rate can hide the fact that one acquisition channel or plan tier is bleeding users while others are healthy. Break churn down by cohort, plan, and acquisition source before drawing conclusions.

Separate Voluntary from Involuntary Churn

A cancel button and a declined credit card are different problems with different fixes. Track them as separate metrics so a payment-retry improvement isn't mistaken for a product improvement.

Frequent Bugs

THE BUG

Comparing this month's churn percentage directly to last month's without checking whether the starting user count changed significantly, which can make the rate look worse or better than the underlying trend.

THE FIX

Normalize churn as (users lost / users at period start) for each period individually, and call out any cohort or promo-driven swings in the denominator separately from organic churn.

Real-World Examples

Dunning Emails Cut Involuntary Churn

A subscription company noticed 30% of monthly churn came from failed card payments, not cancellations. The PM shipped a 3-email dunning sequence plus an automatic retry before treating it as a product-driven churn problem.

SELECT COUNT(*) AS failed_payments
FROM subscriptions
WHERE status = 'past_due'
  AND updated_at >= DATE_TRUNC('month', CURRENT_DATE);

Interview Prep

Pascual Vila

Frontend Instructor // Code Syllabus

Common Pitfalls & Errors

The Error //

Reporting a single blended churn number

// Wrong
churnRate = totalCancellations / totalStartingUsers;

// Correct
churnRateByPlan = plans.map(plan => ({
  plan: plan.name,
  churnRate: plan.cancellations / plan.startingUsers,
}));

The Solution //

A blended churn rate averages away the signal. A 5% overall churn rate could mean every segment is healthy, or it could mean your enterprise tier is fine while your self-serve tier is hemorrhaging users. Break churn down by plan, cohort, and acquisition channel before presenting it.

The Error //

Confusing voluntary and involuntary churn

// Wrong
if (subscription.status === 'canceled') { churnedUsers.push(user); }

// Correct
if (subscription.cancelReason === 'user_canceled') { voluntaryChurn.push(user); }
else if (subscription.cancelReason === 'payment_failed') { involuntaryChurn.push(user); }

The Solution //

Treating a declined credit card the same as an intentional cancellation hides the real fix. Involuntary churn (failed payments) is usually solved with retries and dunning emails; voluntary churn requires product or pricing changes.