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What they cost

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  1. Home/
  2. Integrations/
  3. Stripe churn prediction

Stripe integration

Stripe churn prediction
from billing signals.

Connect Stripe to Exeechain so MRR, plan, payment failure, renewal, expansion, and contraction signals become churn prediction and save-plan inputs.

View demoSee churn prediction ›

Best first integration for SaaS teams because revenue data gives every risk score business context.

Exactly what Exeechain asks Stripe for

Read-only, and narrower than most integrations: Exeechain subscribes to six webhook events and expands four nested fields. It never writes, and it never asks for anything it does not read.

invoice.payment_failed
The failed-payment lane. This is the event the whole recovery loop hangs on.
invoice.payment_succeeded
How a recovery is CONFIRMED. Nothing is booked as recovered revenue without it.
charge.failed / charge.succeeded
The card-level view, which carries the decline code the retry timing is chosen from.
customer.subscription.created
New customers, and the backfill guard that stops an import enrolling a thousand people in a welcome sequence.
customer.subscription.updated
Plan changes: the difference between an upgrade, a downgrade and a contraction.
customer.subscription.deleted
Cancellation. Where the win-back lane starts.
data.customer.invoice_settings.default_payment_method
Expanded so card expiry can be read against the next renewal date - the second leak lane.
data.discounts.coupon
Expanded because a discounted subscription's MRR is not its list price, and reading the wrong one overstates every downstream figure.

What happens after a payment fails

Stripe is the only integration with a recovery loop behind it, so this page carries the cadence and the others do not - the depth here is not padding, it is the difference between the connectors.

  1. Day 0First touch, the moment invoice.payment_failed lands. The subject line splits on whether the card needs replacing or the charge simply did not clear - two different asks, and sending the wrong one wastes the best attempt.
  2. Day 3Follow-up. Carries the decline reason where Stripe gave one, because "we still can't take your payment" without a why is a message people ignore twice.
  3. Day 7Third touch. Past this point the recovery rate falls off, so the tone changes from reminder to consequence.
  4. Day 14Fourth.
  5. Day 21Final touch. After this the account moves to the win-back lane rather than being chased further.

The sequence stops the moment the invoice is paid, you veto it, the customer opts out, or the subscription is cancelled. Every touch has its own veto window before it sends, and nothing goes out during your workspace's quiet hours.

Recovery is booked only on invoice.payment_succeeded. Not on an open, not on a click, not on a reply - on the money arriving.

Read from src/lib/connectors/stripe-sync.ts and src/app/api/webhooks/stripe-billing. If a connector changes what it reads, this list is wrong - so it lives next to the code rather than in a copy document.

MRR-aware risk

Scores are prioritized by revenue impact so the team knows which risks matter most.

Payment risk

Failed payments, past due invoices, plan changes, and contraction events become retention signals.

Renewal context

Billing timelines help Exeechain surface which risks need immediate action.

Signal map

Stripe is the revenue baseline.
It tells the AI what is at stake.

Product usage can tell you if a customer is disengaging. Stripe tells you what that disengagement is worth. When the two signals are combined, your CS team can rank accounts by both likelihood and business impact.

Exeechain uses Stripe customer, subscription, invoice, payment, plan, and MRR signals to ground churn prediction and renewal workflows in real revenue.

Inputs

Customer, subscription, invoice, payment failure, plan, MRR, expansion, contraction, and cancellation signals.

Outputs

Revenue-weighted health scores, churn alerts, renewal briefs, save-plan urgency, and NRR reporting.

Best next step

Connect product usage or support after Stripe to sharpen the why behind each risk.

Keep reading

Where to go next
from here.

Where to go next, depending on what you're trying to work out.

Mixpanel health score›

Add product usage signals

HubSpot customer success›

Add lifecycle and owner context

Churn calculator›

Model logo and revenue churn

Churn prediction software›

Find risk before renewal week

FAQ

Questions buyers ask
before they book a call.

Can Stripe data predict churn by itself?▼

Stripe gives a strong revenue baseline, especially for failed payments, plan changes, contraction, cancellation, and renewal timing. Prediction improves when paired with product usage and support signals.

Does Exeechain need Stripe webhooks?▼

For production, Stripe webhooks keep billing events fresh. The integration can also use API access for initial sync and verification.

What should I connect after Stripe?▼

Most teams connect product analytics, support, and CRM next so Exeechain can explain why a revenue risk is happening.

Turn Stripe billing data
into retention action.

Use revenue signals to prioritize churn risk, renewal work, and save plans.

View demoSee pricing ›
From $299/mo·First scores in 15 minutes·Cancel any time

Not ready to switch? Run the free 60-second revenue leak scan and see what staying put costs.

ExeechainExeechain

Find the revenue you never decided to lose. Failed payments, cards expiring before renewal, and renewals slipping, by customer, with the dollars attached.

Product

  • Free revenue leak scan
  • Churn prediction
  • Health scores
  • Copilot
  • Playbooks
  • QBR automation
  • Forecast
  • Retention intelligence
  • Pricing

Integrations

  • Stripe
  • HubSpot
  • Intercom
  • Zendesk
  • Mixpanel
  • Slack

Free tools

  • Churn rate calculator
  • NRR calculator

Compare

  • vs Gainsight
  • vs ChurnZero
  • vs Vitally
  • vs Planhat
  • vs Totango
  • Gainsight pricing
  • ChurnZero pricing
  • Buyer's guide

Resources

  • Live demo
  • Blog
  • Failed payment recovery
  • Involuntary churn
  • API reference

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