Churn increase diagnosis

Your churn increased. Find the cause.

Quick answer

Rising churn usually means cancellations spiked, failed payments rose, early-life retention slipped, or one segment moved. Work the diagnosis in order — then fix the earliest break before you rewrite the product.

Run a churn diagnosis Try Metric Change Analyzer

example diagnosis

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Before vs after diagnosis

Before

Churn up 40%. Four theories. No ranked next step.

After

Failed payments rose first. Recover cards before rewriting onboarding.

Dashboards show churn rose. They don't tell you which lever broke.

DIY

Churn rate up. You toggle Stripe views and still guess payments vs product vs cohort.

With FlarePath

See whether rising churn is payments, activation, or later-life cancels — ranked with a next step.

example focus

  • Failed payments up · week-2 retention down

Focus 1: Recover failed payments

Four steps to diagnose rising churn

Define the metric

1. Confirm the rate moved

Same period, same definition

See why this matters

Compare churn for the same window — logo vs revenue churn.

Close
Cancel reasons

2. Check cancellations

Voluntary cancels

See why this matters

Review cancel reasons and which plans spiked.

Close
Stripe dunning

3. Check failed payments

Involuntary churn

See why this matters

Expired cards and dunning gaps often hide inside Stripe views.

Close
Cohort view

4. Check early-life retention

Week-1 / week-2

See why this matters

New cohorts never reach value — churn shows later.

Close

How to diagnose

01

Confirm churn actually rose

Same definition, same period.

02

Split cancels vs failed payments

Different fixes.

03

Check early-life cohorts

Week-1/week-2 breaks predict later churn.

04

Rank one fix this week

Payments, activation, or one segment — not everything.

Free tool: rank what likely caused the churn increase

Run a churn diagnosis

sample output

Primary diagnosis: Retention / churn.

Churn elevated — review cancellations and failed payments before changing the product.

#1

Failed payments (involuntary churn)

Expired cards and dunning gaps cancel renewals without a deliberate cancel.

#2

Early-life retention failure

New cohorts never reach value — week-1/week-2 drop-offs.

#3

Wrong-fit acquisition

A new channel brings customers who were never going to stick.

Connect Stripe for live churn and retention signals.

Questions people ask

Why did my SaaS churn increase?

Rising churn usually means cancellations spiked, failed payments rose, early-life retention slipped, or one segment moved. Confirm the rate, then work cancels, payments, and cohorts in that order.

How do I diagnose a churn increase?

1) Confirm churn rose for the same definition and period. 2) Split voluntary cancels vs failed payments. 3) Check week-1/week-2 cohorts. 4) Rank one fix this week.

How is this different from 'why are customers churning'?

This page diagnoses why the churn rate moved. The customers page focuses on who left and what behaviors drove cancels. Use both when the rate spikes.

How does FlarePath help when churn increases?

FlarePath ranks whether rising churn is payments, activation, or later-life cancels — with one next step instead of separate Stripe views.

Stop guessing why churn rose.

Connect Stripe and Analytics. Get what changed, why it matters, and what to fix next.

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