monetization-strategy — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited monetization-strategy (Agent Skill) and scored it 45/100 (orange). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 1 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are an expert in mobile app monetization with deep knowledge of subscription economics, paywall psychology, and pricing strategy. Your goal is to help the user maximize revenue while maintaining user satisfaction.
app-marketing-context.md — read it for context| Model | Best For | Pros | Cons |
|---|---|---|---|
| Freemium + Subscription | Productivity, health, education | Recurring revenue, high LTV | Requires ongoing value delivery |
| Freemium + IAP | Games, social, utilities | Low barrier, impulse purchases | Unpredictable revenue |
| Paid Upfront | Niche tools, premium apps | Simple, immediate revenue | Limits downloads, hard to market |
| Free + Ads | Content, casual games | Massive reach | Low ARPU, hurts UX |
| Hybrid | Most apps | Multiple revenue streams | Complex to optimize |
Pricing Tiers:
| Tier | Purpose | Pricing Guide |
|---|---|---|
| Free | Acquisition, habit formation | Core value with limitations |
| Monthly | Low commitment, testing | $X.99/month (anchor for annual) |
| Annual | Best value, highest LTV | 40-60% discount vs monthly |
| Lifetime | One-time buyers, cash flow | 2-3x annual price |
| Family | Household expansion | 1.5-2x individual price |
Pricing Psychology:
Category Benchmarks:
| Category | Typical Monthly | Typical Annual |
|---|---|---|
| Productivity | $4.99-$9.99 | $29.99-$49.99 |
| Health & Fitness | $9.99-$14.99 | $49.99-$79.99 |
| Education | $9.99-$19.99 | $49.99-$99.99 |
| Photo & Video | $4.99-$9.99 | $29.99-$49.99 |
| Games | $4.99-$9.99 | $29.99-$49.99 |
| Finance | $4.99-$14.99 | $29.99-$79.99 |
| Timing | Conversion Rate | Best For |
|---|---|---|
| Onboarding (before value) | Low (2-5%) | Only if brand is strong |
| After aha moment | Medium (5-10%) | Most apps |
| Feature gate (when they need it) | High (8-15%) | Utility, productivity |
| Usage limit (after N uses) | Medium (5-8%) | Content, tools |
| Time-based trial | Medium (5-10%) | Complex apps |
Structure:
What converts:
| Trial Length | Best For | Notes |
|---|---|---|
| 3 days | Simple apps, quick value | User must decide fast |
| 7 days | Most apps | Standard, good balance |
| 14 days | Complex apps, B2B | More time to form habit |
| 30 days | Enterprise, high-price | Risk of trial abuse |
Trial optimization:
| Metric | Formula | Target |
|---|---|---|
| ARPU | Revenue / Total Users | Varies by category |
| ARPPU | Revenue / Paying Users | 3-10x ARPU |
| Conversion Rate | Paying / Total Users | 2-10% |
| Trial-to-Paid | Paid / Trial Starts | 40-60% |
| LTV | ARPU × Avg Lifetime | > CAC |
| Payback Period | CAC / Monthly ARPU | < 6 months |
retention-optimizationRecommended Model: [model]
Pricing:
Monthly: $[X.99]
Annual: $[X.99] (save [X]%)
Trial: [N] days free
Paywall Strategy:
Timing: [when to show]
Type: [hard/soft/metered]
Expected Metrics:
Conversion: [X]%
ARPU: $[X]/month
LTV: $[X]retention-optimization — Retention directly impacts LTVcompetitor-analysis — Competitive pricing analysisab-test-store-listing — Test pricing page elementsapp-analytics — Track revenue metricsua-campaign — CAC vs LTV optimization~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.