Works with the AI tools you already use
Paywall Conversion Optimizer
Audit your paywall placement, messaging, and timing to find exactly where trial-to-paid conversion is leaking.
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See it in action
You say
Audit my B2B SaaS paywall: we have a 14-day trial with a hard wall at the end. Trial-to-paid is 3%. Most users drop off on day 2.
Your agent does
Based on day 2 drop-off, your value-moment occurs before day 14.
- Experiment 1: Move wall to day 3 (Value-Action Wall).
- Experiment 2: Replace features list with 'Time Saved' outcome copy.
- Expected Impact: +1.5% conversion increase by aligning wall with intent.
What you get
About this skill
Your trial-to-paid rate isn't a single number — it's the product of where the paywall sits, what it says, and when it appears, and each of those leaks separately. This skill audits all three. Placement: is the wall positioned after users experience the value it charges for, or before? Message: does the upgrade screen sell outcomes or list features? Timing: do prompts fire at moments of demonstrated intent — hitting a limit, returning the third day — or on a schedule that ignores the user completely? It maps your monetization funnel, identifies the largest leak with the evidence for why, and returns a ranked experiment backlog: hypothesis, change, expected effect, and the measurement that decides it. Specify your product, current setup and numbers; works for SaaS trials, freemium apps and content subscriptions alike.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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