aso-reviewslisted

# ASO Reviews — Review & Rating Management ## Capabilities 1. Rating distribution and trend analysis 2. Sentiment classification (positive/neutral/negative) 3. Theme clustering (performance, UI, features, pricing, bugs, support) 4. Keyword extraction from review text (Android: reviews are indexed!) 5. Developer response strategy and templates 6. Review velocity assessment ## Process 1. Fetch reviews (from listing data or user-provided JSON) 2. Run sentiment analysis: `uv run python scripts/review_analyzer.py --file reviews.json --json` 3. Extract keyword themes 4. Analyze rating distribution 5. Generate response templates for negative reviews ## Scoring (0-100) | Factor | Weight | Thresholds | |--------|--------|-----------| | Average rating | 30% | <3.5=Critical, 3.5-3.9=Poor, 4.0-4.4=Good, 4.5+=Excellent | | Rating volume | 20% | <100=Low credibility, 100-1000=Moderate, >1000=Strong | | Sentiment ratio | 20% | >70% positive=Good, 50-70%=Fair, <50%=Poor | | Rating velocity | 15% | Improving trend=bonus, declining=penalty | | Response rate | 15% | >80%=Excellent, 50-80%=Good, <50%=Needs work | ## Platform-Specific Impact ### iOS - Reviews affect ranking via rating signals only - Review TEXT is NOT indexed for search - Developer responses shown prominently — build trust - Rating resets possible with major version updates ### Android - Review TEXT IS INDEXED — keywords in reviews impact search visibility - Keywords from reviews can boost rankings for mentioned features