Customer churn diagnosis

Find which customers and behaviors are driving churn.

Quick answer

When customers leave, the useful question is who left and what they did before cancel. Segment by plan, cohort, and acquisition source. Check failed payments vs voluntary cancels. Then fix the earliest break — not every cancel reason at once.

example diagnosis

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Before vs after diagnosis

Before

Churn up. Stripe dashboard. No idea which cohort.

After

Plan B + week-2 cohort. Failed payments and weak activation.

A churn rate is not a diagnosis. Who left is.

DIY

Churn rate up. You don't know which customers left or what they stopped doing first.

With FlarePath

See which segments and behaviors drive cancels — ranked with a next step.

example focus

  • Plan B cancels +40%

Focus 1: Review cancels by plan and cohort

Six customer and behavior questions

Plan breakdown

Which segment left?

Plan, size, or source

See why this matters

One plan or company size often drives most of a spike.

Close
Cohort view

Which cohort failed?

Start date matters

See why this matters

New cohorts never reach value — churn shows weeks later.

Close
Stripe dunning

Failed payments?

Involuntary churn

See why this matters

Expired cards cancel renewals without a deliberate cancel click.

Close
Open Analytics

What did they stop doing?

Usage before cancel

See why this matters

Engagement often slips in Analytics before Stripe shows the cancel.

Close
By acquisition source

Wrong-fit acquisition?

Bad channel mix

See why this matters

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

Close
Timeline check

Product or pricing change?

Release or plan shift

See why this matters

A release or price shift can spike cancels in one segment.

Close

How to diagnose

01

Split involuntary vs voluntary

Failed payments vs deliberate cancels need different fixes.

02

Ask who left — plan, cohort, source

Blended churn hides the real driver.

03

Inspect what they stopped doing

Usage drops often precede the cancel.

Free tool: rank likely churn causes

Analyze churn change

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 are SaaS customers churning?

The useful question is who left and what they did before cancel. Segment by plan, cohort, and acquisition source. Split failed payments from voluntary cancels before you rewrite the product.

How do I find which customers are driving churn?

Break cancels by plan, cohort start date, and acquisition source. Check what usage stopped first. Blended churn hides the segment that actually moved.

Should I look at cohorts or total churn?

Both. Total churn tells you the business impact. Cohorts tell you whether new customers or older ones are leaving — and that changes what you fix.

Can failed payments look like a churn crisis?

Yes. Involuntary churn often hides inside Stripe until MRR dips. Recover cards and dunning before assuming customers hate the product.

How does FlarePath help with customer churn diagnosis?

FlarePath connects Stripe retention signals with Analytics engagement so you see which segments and behaviors drive cancels — then ranks what to fix next.

Stop guessing which customers left.

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

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