Revenue QA for subscription

Subscription brands win or lose on the recurring path

Your business is the second order, not the first. The leaks that matter live in the plan selector, the trial-to-paid moment, and the manage-subscription flow, and broken tracking there means you can't even see the churn.

Free No install No credit card ~2 min

Built by a team from OpenAI Amazon Inflection AI

What's costing you

Plan selector that confuses at the decision pointWhen the difference between plans, or between one-time and subscription, isn't instantly clear, the buyer either picks the lower-value option or leaves.
First-order to recurring conversion frictionGetting the first order is only half the model. A weak transition into the recurring plan loses the lifetime value the whole business depends on.
Manage, pause, and cancel flows that drive hard cancelsA pause or swap flow that's hard to use pushes subscribers to cancel outright instead of staying on a reduced plan.
Subscription event tracking that hides what's happeningWhen enrollment, pause, and cancel events aren't tracked correctly, your churn and LTV numbers are wrong, and you optimize blind.
Dunning and failed-payment recovery gapsInvoluntary churn from failed payments is recoverable, but only if the recovery flow works and is firing, which is often not the case.

How it works

1
We run plan selection, enrollment, and the manage or cancel flow across devices and in-app browsers
2
We flag selector confusion, recurring-conversion friction, and cancel-flow leaks, ranked by impact
3
We verify subscription events fire correctly so your churn and LTV numbers are trustworthy
4
We open the highest-impact fixes as pull requests your team can review and merge

Questions

Can you check my manage and cancel flow?

Yes. We run the manage, pause, swap, and cancel flow the way a subscriber does and flag where a hard-to-use flow pushes people to cancel outright instead of downgrading or pausing.

Why are my churn numbers hard to trust?

Usually because enrollment, pause, and cancel events aren't tracked correctly, so your churn and LTV are computed on bad data. Mimetic verifies those events fire correctly, which is a core part of the scan.

Do you look at trial-to-paid conversion?

Yes. We exercise the transition from first order or trial into the recurring plan and flag friction there, since that conversion is where subscription businesses make or lose their lifetime value.