mohitagw15856/paywall-optimization

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).