Template
Paywall Growth Engineer template
Paywall work gets noisy fast. This template gives the Growth Engineer enough context to distinguish traffic quality, onboarding intent, purchase outcomes, subscription health, and implementation scope before recommending a change.
Templates
Best for
- Subscription apps using RevenueCat or similar monetization tooling
- Teams testing paywall placement, copy, pricing, or trial framing
- Founders who want revenue context attached to product tasks
Workflow
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Step 01
Track paywall views, skips, purchase attempts, purchase success, and purchase failures.
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Step 02
Compare paywall behavior by onboarding path, release, and user segment.
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Step 03
Add RevenueCat trial conversion, churn, and subscription summaries.
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Step 04
Ask the Growth Engineer to recommend one paywall change with risk and verification notes.
Why it matters
Evidence that agents can cite.
Questions founders ask
Should the agent optimize price automatically?
No. Pricing changes should remain human-reviewed. The Growth Engineer can identify evidence and propose tests, but pricing has brand, support, and compliance implications.
What paywall metric matters most?
Purchase conversion matters, but it should be reviewed with trial quality, refund risk, retention, churn, and user feedback.
Can this use RevenueCat data?
Yes. RevenueCat summaries can provide monetization context for paywall-focused Growth Engineer runs.