app-store-optimization

App Store Optimization (ASO)

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Keyword Research Workflow

Discover and evaluate keywords that drive app store visibility.

Workflow: Conduct Keyword Research

1. Define target audience and core app functions:

• Primary use case (what problem does the app solve)
• Target user demographics
• Competitive category

1. Generate seed keywords from:

• App features and benefits
• User language (not developer terminology)
• App store autocomplete suggestions

1. Expand keyword list using:

• Modifiers (free, best, simple)
• Actions (create, track, organize)
• Audiences (for students, for teams, for business)

1. Evaluate each keyword:

• Search volume (estimated monthly searches)
• Competition (number and quality of ranking apps)
• Relevance (alignment with app function)

1. Score and prioritize keywords:

• Primary: Title and keyword field (iOS)
• Secondary: Subtitle and short description
• Tertiary: Full description only

1. Map keywords to metadata locations
2. Document keyword strategy for tracking
3. 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](references/keyword-research-guide.md)

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Metadata Optimization Workflow

Optimize app store listing elements for search ranking and conversion.

Workflow: Optimize App Metadata

1. Audit current metadata against platform limits:

• Title character count and keyword presence
• Subtitle/short description usage
• Keyword field efficiency (iOS)
• Description keyword density

1. Optimize title following formula:

   [Brand Name] - [Primary Keyword] [Secondary Keyword]

1. Write subtitle (iOS) or short description (Android):

• Focus on primary benefit
• Include secondary keyword
• Use action verbs

1. Optimize keyword field (iOS only):

• Remove duplicates from title
• Remove plurals (Apple indexes both forms)
• No spaces after commas
• Prioritize by score

1. Rewrite full description:

• Hook paragraph with value proposition
• Feature bullets with keywords
• Social proof section
• Call to action

1. Validate character counts for each field
2. Calculate keyword density (target 2-3% primary)
3. 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](references/platform-requirements.md)

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Competitor Analysis Workflow

Analyze top competitors to identify keyword gaps and positioning opportunities.

Workflow: Analyze Competitor ASO Strategy

1. Identify top 10 competitors:

• Direct competitors (same core function)
• Indirect competitors (overlapping audience)
• Category leaders (top downloads)

1. Extract competitor keywords from:

• App titles and subtitles
• First 100 words of descriptions
• Visible metadata patterns

1. Build competitor keyword matrix:

• Map which keywords each competitor targets
• Calculate coverage percentage per keyword

1. Identify keyword gaps:

• Keywords with <40% competitor coverage
• High volume terms competitors miss
• Long-tail opportunities

1. Analyze competitor visual assets:

• Icon design patterns
• Screenshot messaging and style
• Video presence and quality

1. Compare ratings and review patterns:

• Average rating by competitor
• Common praise themes
• Common complaint themes

1. Document positioning opportunities
2. 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 |

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App Launch Workflow

Execute a structured launch for maximum initial visibility.

Workflow: Launch App to Stores

1. 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

1. Submit for review (2 weeks before):

• Complete all store requirements
• Verify compliance with guidelines
• Prepare launch communications

1. Configure post-launch systems:

• Set up review monitoring
• Prepare response templates
• Configure rating prompt timing

1. Execute launch day:

• Verify app is live in both stores
• Announce across all channels
• Begin review response cycle

1. Monitor initial performance (days 1-7):

• Track download velocity hourly
• Monitor reviews and respond within 24 hours
• Document any issues for quick fixes

1. Conduct 7-day retrospective:

• Compare performance to projections
• Identify quick optimization wins
• Plan first metadata update

1. Schedule first update (2 weeks post-launch)
2. 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](references/aso-best-practices.md)

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A/B Testing Workflow

Test metadata and visual elements to improve conversion rates.

Workflow: Run A/B Test

1. Select test element (prioritize by impact):

• Icon (highest impact)
• Screenshot 1 (high impact)
• Title (high impact)
• Short description (medium impact)

1. Form hypothesis:

   If we [change], then [metric] will [improve/increase] by [amount]
   because [rationale].

1. Create variants:

• Control: Current version
• Treatment: Single variable change

1. Calculate required sample size:

• Baseline conversion rate
• Minimum detectable effect (usually 5%)
• Statistical significance (95%)

1. Launch test:

• Apple: Use Product Page Optimization
• Android: Use Store Listing Experiments

1. Run test for minimum duration:

• At least 7 days
• Until statistical significance reached

1. Analyze results:

• Compare conversion rates
• Check statistical significance
• Document learnings

1. 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

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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):

task manager, todo list, productivity app, daily planner, reminder app

After (Optimized - 97 chars, 14 keywords):

task,todo,checklist,reminder,organize,daily,planner,schedule,deadline,goals,habit,widget,sync,team

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 |

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Tools and References

Scripts

| Script | Purpose | Usage |

|--------|---------|-------|

| [keyword_analyzer.py](scripts/keyword_analyzer.py) | Analyze keywords for volume and competition | python keyword_analyzer.py --keywords "todo,task,planner" |

| [metadata_optimizer.py](scripts/metadata_optimizer.py) | Validate metadata character limits and density | python metadata_optimizer.py --platform ios --title "App Title" |

| [competitor_analyzer.py](scripts/competitor_analyzer.py) | Extract and compare competitor keywords | python competitor_analyzer.py --competitors "App1,App2,App3" |

| [aso_scorer.py](scripts/aso_scorer.py) | Calculate overall ASO health score | python aso_scorer.py --app-id com.example.app |

| [ab_test_planner.py](scripts/ab_test_planner.py) | Plan tests and calculate sample sizes | python ab_test_planner.py --cvr 0.05 --lift 0.10 |

| [review_analyzer.py](scripts/review_analyzer.py) | Analyze review sentiment and themes | python review_analyzer.py --app-id com.example.app |

| [launch_checklist.py](scripts/launch_checklist.py) | Generate platform-specific launch checklists | python launch_checklist.py --platform ios |

| [localization_helper.py](scripts/localization_helper.py) | Manage multi-language metadata | python localization_helper.py --locales "en,es,de,ja" |

References

| Document | Content |

|----------|---------|

| [platform-requirements.md](references/platform-requirements.md) | iOS and Android metadata specs, visual asset requirements |

| [aso-best-practices.md](references/aso-best-practices.md) | Optimization strategies, rating management, launch tactics |

| [keyword-research-guide.md](references/keyword-research-guide.md) | Research methodology, evaluation framework, tracking |

Assets

| Template | Purpose |

|----------|---------|

| [aso-audit-template.md](assets/aso-audit-template.md) | Structured audit checklist for app store listings |

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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.

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Related Skills

| Skill | Integration Point |

|-------|-------------------|

| [content-creator](../content-creator/) | App description copywriting |

| [marketing-demand-acquisition](../marketing-demand-acquisition/) | Launch promotion campaigns |

| [marketing-strategy-pmm](../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.