paywall-optimization

What problem does it solve?

This Skill helps you diagnose and improve a subscription app paywall that isn’t converting, so more users move from paywall view to trial start and then to paid.

Core Features & Use Cases

• Paywall diagnostics with funnel scoring: Identify the weakest conversion stage (paywall view rate, CTA tap rate, purchase completion, or trial-to-paid conversion) using a structured funnel and red-flag thresholds.
• 7-element paywall audit: Score and improve headline, value props, social proof, plan picker behavior, price anchoring, trust elements, and CTA clarity.
• Pricing and A/B test planning: Recommend pricing display patterns and design a one-element-at-a-time experimentation plan (trial offer, plan default, CTA wording, social proof, visuals, or plan count).
• Framework-aware guidance: Supports RevenueCat, Superwall, Adapty, and native StoreKit-style decisioning, including placement strategy (hard vs soft vs gated).

Core Features & Use Cases

Use this when you’re redesigning paywall copy or layout, choosing annual vs monthly defaults, deciding hard vs soft paywall placement, or planning paywall A/B tests to raise trial starts and trial-to-paid conversion.

Quick Start

Ask an AI to run a Paywall Optimization on my app by reading my app-marketing-context, pulling the last 30 days trial start and trial-to-paid rates, scoring the current paywall using the 7-element rubric, and then proposing quick wins plus two prioritized A/B tests for the next cycles.