App Store Optimization (ASO)¶
Domain: Marketing | Skill: app-store-optimization | Source: marketing-skill/app-store-optimization/SKILL.md
App Store Optimization (ASO)¶
Keyword Research Workflow¶
Discover and evaluate keywords that drive app store visibility.
Workflow: Conduct Keyword Research¶
- Define target audience and core app functions:
- Primary use case (what problem does the app solve)
- Target user demographics
- Competitive category
- Generate seed keywords from:
- App features and benefits
- User language (not developer terminology)
- App store autocomplete suggestions
- Expand keyword list using:
- Modifiers (free, best, simple)
- Actions (create, track, organize)
- Audiences (for students, for teams, for business)
- Evaluate each keyword:
- Search volume (estimated monthly searches)
- Competition (number and quality of ranking apps)
- Relevance (alignment with app function)
- Score and prioritize keywords:
- Primary: Title and keyword field (iOS)
- Secondary: Subtitle and short description
- Tertiary: Full description only
- Map keywords to metadata locations
- Document keyword strategy for tracking
- Validation: Keywords scored; placement mapped; no competitor brand names included; no plurals in iOS keyword field
Keyword Evaluation Criteria¶
| Factor | Weight | High Score Indicators |
|---|---|---|
| Relevance | 35% | Describes core app function |
| Volume | 25% | 10,000+ monthly searches |
| Competition | 25% | Top 10 apps have <4.5 avg rating |
| Conversion | 15% | Transactional intent ("best X app") |
Keyword Placement Priority¶
| Location | Search Weight |
|---|---|
| App Title | Highest |
| Subtitle (iOS) | High |
| Keyword Field (iOS) | High |
| Short Description (Android) | High |
| Full Description | Medium |
See: references/keyword-research-guide.md
Metadata Optimization Workflow¶
Optimize app store listing elements for search ranking and conversion.
Workflow: Optimize App Metadata¶
- Audit current metadata against platform limits:
- Title character count and keyword presence
- Subtitle/short description usage
- Keyword field efficiency (iOS)
- Description keyword density
- Optimize title following formula:
- Write subtitle (iOS) or short description (Android):
- Focus on primary benefit
- Include secondary keyword
- Use action verbs
- Optimize keyword field (iOS only):
- Remove duplicates from title
- Remove plurals (Apple indexes both forms)
- No spaces after commas
- Prioritize by score
- Rewrite full description:
- Hook paragraph with value proposition
- Feature bullets with keywords
- Social proof section
- Call to action
- Validate character counts for each field
- Calculate keyword density (target 2-3% primary)
- Validation: All fields within character limits; primary keyword in title; no keyword stuffing (>5%); natural language preserved
Platform Character Limits¶
| Field | Apple App Store | Google Play Store |
|---|---|---|
| Title | 30 characters | 50 characters |
| Subtitle | 30 characters | N/A |
| Short Description | N/A | 80 characters |
| Keywords | 100 characters | N/A |
| Promotional Text | 170 characters | N/A |
| Full Description | 4,000 characters | 4,000 characters |
| What's New | 4,000 characters | 500 characters |
Description Structure¶
PARAGRAPH 1: Hook (50-100 words)
├── Address user pain point
├── State main value proposition
└── Include primary keyword
PARAGRAPH 2-3: Features (100-150 words)
├── Top 5 features with benefits
├── Bullet points for scanability
└── Secondary keywords naturally integrated
PARAGRAPH 4: Social Proof (50-75 words)
├── Download count or rating
├── Press mentions or awards
└── Summary of user testimonials
PARAGRAPH 5: Call to Action (25-50 words)
├── Clear next step
└── Reassurance (free trial, no signup)
See: references/platform-requirements.md
Competitor Analysis Workflow¶
Analyze top competitors to identify keyword gaps and positioning opportunities.
Workflow: Analyze Competitor ASO Strategy¶
- Identify top 10 competitors:
- Direct competitors (same core function)
- Indirect competitors (overlapping audience)
- Category leaders (top downloads)
- Extract competitor keywords from:
- App titles and subtitles
- First 100 words of descriptions
- Visible metadata patterns
- Build competitor keyword matrix:
- Map which keywords each competitor targets
- Calculate coverage percentage per keyword
- Identify keyword gaps:
- Keywords with <40% competitor coverage
- High volume terms competitors miss
- Long-tail opportunities
- Analyze competitor visual assets:
- Icon design patterns
- Screenshot messaging and style
- Video presence and quality
- Compare ratings and review patterns:
- Average rating by competitor
- Common praise themes
- Common complaint themes
- Document positioning opportunities
- Validation: 10+ competitors analyzed; keyword matrix complete; gaps identified with volume estimates; visual audit documented
Competitor Analysis Matrix¶
| Analysis Area | Data Points |
|---|---|
| Keywords | Title keywords, description frequency |
| Metadata | Character utilization, keyword density |
| Visuals | Icon style, screenshot count/style |
| Ratings | Average rating, total count, velocity |
| Reviews | Top praise, top complaints |
Gap Analysis Template¶
| Opportunity Type | Example | Action |
|---|---|---|
| Keyword gap | "habit tracker" (40% coverage) | Add to keyword field |
| Feature gap | Competitor lacks widget | Highlight in screenshots |
| Visual gap | No videos in top 5 | Create app preview |
| Messaging gap | None mention "free" | Test free positioning |
App Launch Workflow¶
Execute a structured launch for maximum initial visibility.
Workflow: Launch App to Stores¶
- Complete pre-launch preparation (4 weeks before):
- Finalize keywords and metadata
- Prepare all visual assets
- Set up analytics (Firebase, Mixpanel)
- Build press kit and media list
- Submit for review (2 weeks before):
- Complete all store requirements
- Verify compliance with guidelines
- Prepare launch communications
- Configure post-launch systems:
- Set up review monitoring
- Prepare response templates
- Configure rating prompt timing
- Execute launch day:
- Verify app is live in both stores
- Announce across all channels
- Begin review response cycle
- Monitor initial performance (days 1-7):
- Track download velocity hourly
- Monitor reviews and respond within 24 hours
- Document any issues for quick fixes
- Conduct 7-day retrospective:
- Compare performance to projections
- Identify quick optimization wins
- Plan first metadata update
- Schedule first update (2 weeks post-launch)
- Validation: App live in stores; analytics tracking; review responses within 24h; download velocity documented; first update scheduled
Pre-Launch Checklist¶
| Category | Items |
|---|---|
| Metadata | Title, subtitle, description, keywords |
| Visual Assets | Icon, screenshots (all sizes), video |
| Compliance | Age rating, privacy policy, content rights |
| Technical | App binary, signing certificates |
| Analytics | SDK integration, event tracking |
| Marketing | Press kit, social content, email ready |
Launch Timing Considerations¶
| Factor | Recommendation |
|---|---|
| Day of week | Tuesday-Wednesday (avoid weekends) |
| Time of day | Morning in target market timezone |
| Seasonal | Align with relevant category seasons |
| Competition | Avoid major competitor launch dates |
See: references/aso-best-practices.md
A/B Testing Workflow¶
Test metadata and visual elements to improve conversion rates.
Workflow: Run A/B Test¶
- Select test element (prioritize by impact):
- Icon (highest impact)
- Screenshot 1 (high impact)
- Title (high impact)
- Short description (medium impact)
- Form hypothesis:
- Create variants:
- Control: Current version
- Treatment: Single variable change
- Calculate required sample size:
- Baseline conversion rate
- Minimum detectable effect (usually 5%)
- Statistical significance (95%)
- Launch test:
- Apple: Use Product Page Optimization
- Android: Use Store Listing Experiments
- Run test for minimum duration:
- At least 7 days
- Until statistical significance reached
- Analyze results:
- Compare conversion rates
- Check statistical significance
- Document learnings
- Validation: Single variable tested; sample size sufficient; significance reached (95%); results documented; winner implemented
A/B Test Prioritization¶
| Element | Conversion Impact | Test Complexity |
|---|---|---|
| App Icon | 10-25% lift possible | Medium (design needed) |
| Screenshot 1 | 15-35% lift possible | Medium |
| Title | 5-15% lift possible | Low |
| Short Description | 5-10% lift possible | Low |
| Video | 10-20% lift possible | High |
Sample Size Quick Reference¶
| Baseline CVR | Impressions Needed (per variant) |
|---|---|
| 1% | 31,000 |
| 2% | 15,500 |
| 5% | 6,200 |
| 10% | 3,100 |
Test Documentation Template¶
TEST ID: ASO-2025-001
ELEMENT: App Icon
HYPOTHESIS: A bolder color icon will increase conversion by 10%
START DATE: [Date]
END DATE: [Date]
RESULTS:
├── Control CVR: 4.2%
├── Treatment CVR: 4.8%
├── Lift: +14.3%
├── Significance: 97%
└── Decision: Implement treatment
LEARNINGS:
- Bold colors outperform muted tones in this category
- Apply to screenshot backgrounds for next test
Before/After Examples¶
Title Optimization¶
Productivity App:
| Version | Title | Analysis |
|---|---|---|
| Before | "MyTasks" | No keywords, brand only (8 chars) |
| After | "MyTasks - Todo List & Planner" | Primary + secondary keywords (29 chars) |
Fitness App:
| Version | Title | Analysis |
|---|---|---|
| Before | "FitTrack Pro" | Generic modifier (12 chars) |
| After | "FitTrack: Workout Log & Gym" | Category keywords (27 chars) |
Subtitle Optimization (iOS)¶
| Version | Subtitle | Analysis |
|---|---|---|
| Before | "Get Things Done" | Vague, no keywords |
| After | "Daily Task Manager & Planner" | Two keywords, benefit clear |
Keyword Field Optimization (iOS)¶
Before (Inefficient - 89 chars, 8 keywords):
After (Optimized - 97 chars, 14 keywords):
Improvements: - Removed spaces after commas (+8 chars) - Removed duplicates (task manager → task) - Removed plurals (reminders → reminder) - Removed words in title - Added more relevant keywords
Description Opening¶
Before:
MyTasks is a comprehensive task management solution designed
to help busy professionals organize their daily activities
and boost productivity.
After:
Forget missed deadlines. MyTasks keeps every task, reminder,
and project in one place—so you focus on doing, not remembering.
Trusted by 500,000+ professionals.
Improvements: - Leads with user pain point - Specific benefit (not generic "boost productivity") - Social proof included - Keywords natural, not stuffed
Screenshot Caption Evolution¶
| Version | Caption | Issue |
|---|---|---|
| Before | "Task List Feature" | Feature-focused, passive |
| Better | "Create Task Lists" | Action verb, but still feature |
| Best | "Never Miss a Deadline" | Benefit-focused, emotional |
Tools and References¶
Scripts¶
| Script | Purpose | Usage |
|---|---|---|
| keyword_analyzer.py | Analyze keywords for volume and competition | python keyword_analyzer.py --keywords "todo,task,planner" |
| metadata_optimizer.py | Validate metadata character limits and density | python metadata_optimizer.py --platform ios --title "App Title" |
| competitor_analyzer.py | Extract and compare competitor keywords | python competitor_analyzer.py --competitors "App1,App2,App3" |
| aso_scorer.py | Calculate overall ASO health score | python aso_scorer.py --app-id com.example.app |
| ab_test_planner.py | Plan tests and calculate sample sizes | python ab_test_planner.py --cvr 0.05 --lift 0.10 |
| review_analyzer.py | Analyze review sentiment and themes | python review_analyzer.py --app-id com.example.app |
| launch_checklist.py | Generate platform-specific launch checklists | python launch_checklist.py --platform ios |
| localization_helper.py | Manage multi-language metadata | python localization_helper.py --locales "en,es,de,ja" |
References¶
| Document | Content |
|---|---|
| platform-requirements.md | iOS and Android metadata specs, visual asset requirements |
| aso-best-practices.md | Optimization strategies, rating management, launch tactics |
| keyword-research-guide.md | Research methodology, evaluation framework, tracking |
Assets¶
| Template | Purpose |
|---|---|
| aso-audit-template.md | Structured audit checklist for app store listings |
Platform Notes¶
| Platform / Constraint | Behavior / Impact |
|---|---|
| iOS keyword changes | Require app submission |
| iOS promotional text | Editable without an app update |
| Android metadata changes | Index in 1-2 hours |
| Android keyword field | None — use description instead |
| Keyword volume data | Estimates only; no official source |
| Competitor data | Public listings only |
When not to use this skill: web apps (use web SEO), enterprise/internal apps, TestFlight-only betas, or paid advertising strategy.
Related Skills¶
| Skill | Integration Point |
|---|---|
| content-creator | App description copywriting |
| marketing-demand-acquisition | Launch promotion campaigns |
| marketing-strategy-pmm | Go-to-market planning |
Proactive Triggers¶
- No keyword optimization in title → App title is the #1 ranking factor. Include top keyword.
- Screenshots don't show value → Screenshots should tell a story, not show UI.
- No ratings strategy → Below 4.0 stars kills conversion. Implement in-app rating prompts.
- Description keyword-stuffed → Natural language with keywords beats keyword stuffing.
Output Artifacts¶
| When you ask for... | You get... |
|---|---|
| "ASO audit" | Full app store listing audit with prioritized fixes |
| "Keyword research" | Keyword list with search volume and difficulty scores |
| "Optimize my listing" | Rewritten title, subtitle, description, keyword field |
Communication¶
All output passes quality verification: - Self-verify: source attribution, assumption audit, confidence scoring - Output format: Bottom Line → What (with confidence) → Why → How to Act - Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.