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skills/mohitagw15856/pm-claude-skills/paywall-optimization

paywall-optimization

1
mohitagw15856/pm-claude-skills·Audit passed·Snapshot 83f1fca79025

Summary

This source did not publish a separate summary. Review SKILL.md before using the skill.

SKILL.md

Paywall Optimization Skill

The paywall is where free turns into revenue — and where a clumsy one turns users off forever. Getting it right is about what you gate, when you ask, and how you frame the upgrade. This skill designs or tunes a paywall that converts by making the paid value obvious at a moment of real intent — not by holding core value hostage.

Required Inputs

Ask for these only if they aren't already provided:

  • The model & current state — freemium / free-trial / hard paywall; what's free vs. paid today; current conversion if known.
  • The value — what users come for, the "aha" moment, and the features worth paying for.
  • Plans & pricing — tiers and prices (or that they're open to design).
  • The trigger context — where users hit the wall today, and where they feel the most value/intent.

Output Format

Paywall plan: [product]

1. Gating strategy — what stays free vs. what's paid, and why. The free tier must deliver a real aha (so users want more); gate the value that scales with success/usage — not the thing that proves value in the first place.

2. The moment — when to show the paywall: at a point of demonstrated intent or hitting a real limit, ideally just after the user has felt value — not on first open. Soft wall (prompt, keep browsing) vs. hard wall (must pay), with a rationale.

3. The screen — layout and copy:

  • Headline — the value/outcome, not "Upgrade now".
  • Plan presentation — tiers, the anchor/recommended plan highlighted, billing toggle (annual discount framed clearly).
  • Value reinforcement — what they unlock, in benefit terms; social proof; risk-reducers (trial, money-back, cancel anytime).
  • Friendly exit — a graceful "maybe later" so a non-buyer isn't lost (and can be re-prompted).

4. Experiments to run — the highest-leverage tests (trigger timing, what's gated, plan framing/anchor, annual default), each with the metric it moves.

5. Metrics & guardrails — free→paid conversion, trial-start and trial→paid, ARPU — and guardrails: free-user retention, refund/chargeback and churn rate (a paywall that converts but spikes churn isn't a win).

Quality Checks

  • The free tier still delivers a genuine aha — core value isn't held hostage
  • The paywall triggers at a moment of real intent/limit, after value is felt — not on first open
  • Plan presentation has a clear anchor/recommended option and honest framing
  • Risk-reducers and a graceful exit are included
  • Both conversion metrics and guardrail metrics (retention, churn, refunds) are tracked
  • Experiments are prioritized by leverage, each tied to a metric

Anti-Patterns

  • Do not gate the core aha — users who never feel value never pay
  • Do not hit users with the wall on first open, before any value — it just bounces them
  • Do not use dark patterns (hidden cancel, forced continuity, fake urgency) — short lift, long-term churn
  • Do not optimize conversion while ignoring churn/refund guardrails
  • Do not present plans without a clear recommended/anchor option — choice overload kills conversion

Based On

Freemium / subscription conversion practice (value-based gating, trigger-at-intent, plan anchoring, conversion vs. retention guardrails).

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capacity-planningcompetitor-teardowncontext-engineering-reviewrunbook-writerreceipts-audit