Growth Audit Agent

The Growth Audit Agent analyzes your app's performance across six key growth categories and generates a comprehensive audit report with actionable recommendations. Think of it as a growth consultant that reviews your metrics and tells you exactly what to fix.

Feature flag: growth-audit

What it does

The agent runs a full growth audit by evaluating:

1. Acquisition — how you acquire users (organic vs. paid, CAC, conversion funnels)
2. ASO (App Store Optimization) — your store listing effectiveness (keywords, screenshots, rating)
3. Engagement — how users interact with your app (session frequency, feature adoption)
4. Monetization — how you generate revenue (pricing, conversion, LTV)
5. Retention — how well you keep users (churn rates, cohort behavior)
6. Reviews — user sentiment and rating trends

Each category receives a score (0–100), a letter grade (A–F), and specific recommendations.

How it works

1. The agent fetches a snapshot of your app's data (metrics, store listing, reviews)
2. Six specialized evaluators analyze your performance:

• ASOEvaluator — checks keyword coverage, screenshots, rating, localization
• RetentionEvaluator — analyzes churn, cohort retention, engagement patterns
• MonetizationEvaluator — evaluates pricing, conversion, LTV/CAC ratio
• EngagementEvaluator — measures session frequency, feature adoption, time spent
• AcquisitionEvaluator — assesses channel performance, CAC trends, funnel drop-offs
• ReviewsEvaluator — scans sentiment, rating distribution, review velocity

1. Each evaluator produces a checklist of pass/fail items with scores
2. The agent calculates a weighted overall score and letter grade
3. A markdown report is generated with top wins, top issues, and prioritized recommendations

What the report includes

Overall score & grade

• Letter grade — A (90+), B (80–89), C (70–79), D (60–69), F (<60)
• Weighted score — calculated from category scores using predefined weights
• Top wins — your 3 strongest areas (green items)
• Top issues — your 3 weakest areas (red items) that need immediate attention

Per-category breakdown

Each category shows:

• Category score (0–100)
• Performance level — excellent, good, needs improvement, or fail
• Checklist items — specific pass/fail checks with actual vs. expected values
• Insights — what the data means
• Recommendations — what to do about it

Example checklist items

ASO category:

• Primary keyword in title/subtitle — ✅ Present or ❌ Missing
• Long-tail keyword coverage — actual: 15 keywords, expected: 30+
• Screenshot optimization — actual: 3 screenshots, expected: 5–8
• App Store rating — actual: 4.2★, expected: 4.0+ (benchmark)

Retention category:

• Day 1 retention rate — actual: 45%, expected: 50%+
• Day 7 retention rate — actual: 20%, expected: 25%+
• Day 30 retention rate — actual: 8%, expected: 10%+

Monetization category:

• Trial-to-paid conversion rate — actual: 12%, expected: 15%+
• LTV/CAC ratio — actual: 2.1x, expected: 3.0x+
• Average revenue per user (ARPU) — actual: $4.50, benchmark: $6.00

Category weights

Not all categories are weighted equally. The overall score uses these weights:

How to run an audit

1. Navigate to Growth Audit in the Fload sidebar
2. Select the app you want to audit
3. Choose the time period to analyze (default: last 90 days)
4. Click Run Audit
5. The agent processes your data (typically takes 2–5 minutes)
6. The report appears with your score, checklist, and recommendations

Recommendations engine

The agent generates prioritized recommendations based on:

• Severity — how badly this issue hurts your growth
• Impact potential — how much improvement you'd see if fixed
• Effort required — quick wins vs. strategic initiatives

Recommendations are grouped into:

• Critical — fix these immediately (often retention or monetization issues)
• High priority — significant impact, moderate effort
• Medium priority — incremental improvements
• Low priority — nice-to-haves or polish

Data sources

The audit pulls data from:

• App Store Connect — downloads, proceeds, ratings, reviews, store listing metadata
• Google Play Console (if connected) — same metrics for Android
• Apple Search Ads (if connected) — ad spend, CPI, conversion data
• Fload analytics — session data, retention cohorts, engagement metrics
• Review sentiment analysis — AI-processed review data

Limitations

• Requires connected data sources — at minimum, App Store Connect
• 90-day lookback — recommendations are based on recent data (not lifetime)
• One app at a time — can't compare multiple apps in one audit (yet)
• English-optimized — keyword and review analysis works best for English-language apps

Use cases

Quarterly growth reviews

Run the audit every quarter to:

• Track progress on previous recommendations
• Identify new issues as your app evolves
• Align your team on growth priorities

Pre-funding pitch prep

Generate an audit report to:

• Prove you understand your growth blockers
• Show data-driven decision-making
• Demonstrate you're fixing issues proactively

Post-launch health check

After a major feature launch or redesign:

• Measure the impact on retention and engagement
• Spot unintended negative consequences (e.g., drop in conversion)
• Validate that the changes improved the target metrics

Competitive benchmarking

Run audits on multiple apps you manage to:

• Compare performance across your portfolio
• Identify which apps need the most attention
• Share best practices between teams

Roadmap

• Multi-app comparison — audit multiple apps side-by-side
• Automated scheduling — run audits automatically every week/month
• Integration with task tracking — export recommendations to Linear, Jira, Notion
• Deeper cohort analysis — drill into retention by user segment
• Predictive scoring — forecast your grade if you implement recommendations