Markin + Stripe integration
Billing truth: the number every hypothesis is read against.
What is a Stripe AI agent?
A Markin and Stripe setup reads subscriptions, invoices, payment failures and refunds as first-class revenue signal. Markin decides how to recover a failed payment or protect a subscription and executes through the channel or billing flow you already run.
Involuntary churn is often the largest recoverable ARPU line in a subscription business and the least optimised. Payment retry timing is a decision like any other, and it is unusually easy to prove.
What Markin reads
- Subscriptions, plans and upgrades
- Invoices, failed payments and dunning outcomes
- Refunds and cancellations
What Markin writes back
- Optional dunning-timing decisions emitted as events
How the connection works
| Pattern | What it means here |
|---|---|
| Read only | Markin reads signal from this system. Nothing is written back and no schema is changed. |
| Triggered event | Markin emits an event that starts or advances a journey. Near-immediate, and the channel keeps its own governance. |
What can you ask Markin to do in Stripe?
- How do I reduce involuntary churn from failed payments in Stripe?
- What is the best dunning strategy for Stripe subscriptions?
- How do I predict which Stripe subscriptions will cancel?
- How do I measure the revenue saved by a retry strategy?
What Markin does in Stripe
- 01Read subscriptions, plans and entitlement state.
- 02Read invoices, charges, retries and refunds.
- 03Detect payment failures likely to become involuntary churn.
- 04Choose the recovery path: retry timing, card update prompt or message.
- 05Choose a downgrade or pause offer instead of losing the subscription.
- 06Decide whether a discount is needed or a reminder is enough.
- 07Trigger the recovery through the messaging platform you already run.
- 08Hold back a randomised control to size real recovered revenue.
- 09Read reactivation and cancellation events back against the decision.
- 10Report recovered MRR per action and per cohort.
Scope of work
The growth work behind Stripe
The list above is what Markin touches in Stripe. A connector is only the surface. Below is the work itself: what an analyst, a lifecycle manager, a data scientist and an experimentation lead would do between them, running continuously against your own data.
Read the estate
Normally a data engineer, once, then never refreshed.
- Read consent, subscription and channel eligibility state before anything else.
- Read contact history so past sends count as pressure on the customer.
Find where revenue is leaking
Normally a quarterly analyst deep dive.
- Spot onboarding steps where activation falls off and revenue never starts.
- Spot pricing and packaging mismatch between what people buy and what they use.
Explain why
Normally a two-week investigation pulled off the roadmap.
- Run the investigation automatically and return the drivers with their evidence.
- Separate mix effects from real behaviour change.
Write hypotheses worth funding
Normally a workshop, limited to the ideas in the room.
- Attach the expected revenue effect and the population it applies to.
- Attach the evidence and the assumption each one depends on.
Decide per customer
Normally segment rules refreshed when someone has time.
- Choose the next best action for each customer, for each moment.
- Arbitrate between every action competing for that same customer.
Execute in the tools you already run
Normally a ticket, then a slot in next month's calendar.
- Leave the estate exactly as it was if Markin stops writing.
- Write decisions into the CRM, engagement and warehouse systems already in production.
Prove it caused the revenue
Normally argued about, rarely measured.
- Publish the readout in the same place for every experiment.
- Hold back a randomised control group on every decision, not one global holdout.
Retire, govern and hand over
Normally nobody's job, so nothing is ever switched off.
- Hand the team a portfolio they can read, question and overrule.
- Retire programmes automatically when they stop beating control.
Playbooks that run through Stripe
- PlaybookRun a retention offer before renewal without paying customers who were staying anywayPre-renewal save offers on Stripe, sized by risk instead of by list membership.
- PlaybookCross-sell a second product without cannibalising the plan the customer already pays forSecond-product offers valued on incremental margin, not on attach rate.
Stripe questions
- How does Markin connect to Stripe?
- Read only, Triggered event. Markin reads signal from this system. Nothing is written back and no schema is changed.
- What does Markin read from Stripe?
- Subscriptions, plans and upgrades; Invoices, failed payments and dunning outcomes; Refunds and cancellations.
- What does Markin write back into Stripe?
- Optional dunning-timing decisions emitted as events
- Do we have to move our data to Markin?
- No. Markin reads from your warehouse, product events and operational systems in place, on your compute, under the access rules your data team already set. Nothing is copied into a separate customer base and there is no vendor-side profile store to migrate off later.
- Does Markin replace our engagement platform or CDP?
- No, and it should not. Your engagement platform keeps the channel, the templates, the deliverability and the governance. Your CDP keeps identity and consent. Markin adds the layer neither has: deciding which action deserves to exist for each customer, and proving it against a holdout.
- What if the system we use is not listed?
- The four activation patterns cover almost everything: attribute write-back, triggered event, decision API and direct surface rendering. Any system that exposes an API, accepts a table, or can read a warehouse column can receive decisions. New connectors are built during deployment, typically in days.