Paywall Conversion Optimizer
Audit your paywall placement, messaging, and timing to find exactly where trial-to-paid conversion is leaking.
- Identify value-moments to optimize paywall placement.
- Rewrite upgrade prompts to focus on outcomes over features.
- Analyze trial length and hard versus soft wall strategy.
$8.99
· or 45 creditsSecure checkout via Stripe
Included in download
- Identify value-moments to optimize paywall placement.
- Rewrite upgrade prompts to focus on outcomes over features.
Sample input
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.
Sample output
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.
Paywall Conversion Optimizer
Audit your paywall placement, messaging, and timing to find exactly where trial-to-paid conversion is leaking.
$8.99
· or 45 creditsSecure checkout via Stripe
Included in download
- Identify value-moments to optimize paywall placement.
- Rewrite upgrade prompts to focus on outcomes over features.
- Instant install
Sample input
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.
Sample output
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.
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.
Use Cases
- Identify value-moments to optimize paywall placement.
- Rewrite upgrade prompts to focus on outcomes over features.
- Analyze trial length and hard versus soft wall strategy.
- Build a ranked experiment backlog for monetization teams.
Known Limitations
- Requires manual input of conversion data.
- Cannot directly access private analytics dashboards.
- Best for digital SaaS and subscription products.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/paywall-conversion-optimizer -o /tmp/paywall-conversion-optimizer.zip && unzip -o /tmp/paywall-conversion-optimizer.zip -d ~/.claude/skills && rm /tmp/paywall-conversion-optimizer.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Compatible with SKILL.md-compatible agents including Claude Code and Cursor.