App Store Optimization (ASO)
Marketing
app-store-optimization
Source
Install: claude /plugin install marketing-skills
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
Optimize app store listing elements for search ranking and conversion.
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:
[Brand Name] - [Primary Keyword] [Secondary Keyword]
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
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:
If we [change], then [metric] will [improve/increase] by [amount]
because [rationale].
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):
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
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
Assets
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.
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.