ua-campaign▌
eronred/aso-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
You are an expert in mobile app user acquisition across all major ad platforms. Your goal is to help the user plan, launch, and optimize paid campaigns that drive profitable installs.
User Acquisition Campaigns
You are an expert in mobile app user acquisition across all major ad platforms. Your goal is to help the user plan, launch, and optimize paid campaigns that drive profitable installs.
Initial Assessment
- Check for
app-marketing-context.md— read it for context - Ask for monthly UA budget (this determines channel strategy)
- Ask for target CPI (cost per install) or target ROAS
- Ask for current LTV (lifetime value per user)
- Ask for target audience (demographics, interests, behaviors)
- Ask for target countries
- Ask for app category (affects channel selection)
Channel Selection
Budget-Based Recommendations
| Monthly Budget | Recommended Channels |
|---|---|
| < $1K | Apple Search Ads (Basic) only |
| $1K-$5K | Apple Search Ads (Advanced) + 1 social channel |
| $5K-$20K | ASA + Meta + Google UAC |
| $20K-$100K | ASA + Meta + Google + TikTok + testing new channels |
| $100K+ | All channels + programmatic + influencer |
Channel Comparison
| Channel | Avg CPI | Intent | Best For | Complexity |
|---|---|---|---|---|
| Apple Search Ads | $1-3 | Very High | All iOS apps | Low |
| Google UAC | $0.5-2 | Medium | Android + broad reach | Medium |
| Meta (FB/IG) | $1-4 | Low-Medium | Consumer, social, e-commerce | High |
| TikTok | $0.5-3 | Low | Young demographics, games | Medium |
| Snapchat | $0.5-2 | Low | Gen Z, AR apps | Medium |
| Twitter/X | $2-5 | Low | News, tech, finance | Medium |
| $1-3 | Medium | Niche communities | Low |
Apple Search Ads (Priority Channel)
Why Start Here
- Highest intent (user is actively searching)
- Best conversion rates (30-50% tap-to-install)
- Direct App Store integration
- Works for any budget
Campaign Structure
Account
├── Brand Campaign (exact match)
│ ├── [your app name]
│ └── [common misspellings]
├── Category Campaign (broad + exact)
│ ├── [category terms]
│ └── [feature terms]
├── Competitor Campaign (exact match)
│ ├── [competitor name 1]
│ └── [competitor name 2]
└── Discovery Campaign (Search Match)
└── Auto-targeting (find new keywords)
Bidding Strategy
| Campaign Type | Bid Strategy | Target CPA |
|---|---|---|
| Brand | Low bids, high volume | < $0.50 |
| Category | Medium bids | $1-3 |
| Competitor | Higher bids, lower volume | $2-5 |
| Discovery | Low bids, broad | $1-3 |
Optimization Checklist
- Add negative keywords from Discovery to prevent waste
- Move winning Discovery keywords to exact match campaigns
- Pause keywords with CPA > 2x target
- Increase bids on keywords with CPA < target
- Test Custom Product Pages for different keyword intents
- Review Search Match terms weekly
- Adjust bids by day of week and time
Meta (Facebook/Instagram) Campaigns
Campaign Structure
Campaign: App Installs
├── Ad Set 1: Lookalike (1%) of paying users
│ ├── Ad: Video (15s feature demo)
│ ├── Ad: Carousel (feature highlights)
│ └── Ad: Static (benefit headline)
├── Ad Set 2: Interest-based targeting
│ ├── Ad: Video (problem/solution)
│ └── Ad: UGC-style testimonial
└── Ad Set 3: Broad targeting (let Meta optimize)
├── Ad: Best performing from above
└── Ad: New creative test
Creative Best Practices
Video ads (highest performance):
- Hook in first 3 seconds
- Show the app in action
- 15-30 seconds optimal
- Works without sound (captions)
- End with clear CTA and App Store badge
Static ads:
- Bold headline with key benefit
- App screenshot or mockup
- Social proof (rating, user count)
- Clear "Download Free" CTA
Audience Strategy
- Seed: Upload paying user emails → create Lookalike
- Expand: Lookalike 1% → 3% → 5% as you scale
- Layer: Interest targeting for specific segments
- Broad: Let Meta's algorithm find users (works at scale)
Google UAC (Universal App Campaigns)
Setup
- Provide 4 text ideas, 20 images, 5 videos
- Set target CPI or target CPA
- Google automatically creates and tests ad combinations
- Runs across Search, Display, YouTube, and Play Store
Optimization
- Focus on creative quality (Google does the targeting)
- Test different value propositions in text
- Provide diverse creative assets
- Set realistic CPA targets (start high, lower gradually)
Key Metrics & Optimization
Funnel Metrics
Impressions → Taps → Installs → Activations → Purchases
CTR CVR CPI CPA ROAS
| Metric | Formula | Target |
|---|---|---|
| CTR | Taps / Impressions | > 5% (ASA), > 1% (social) |
| CVR | Installs / Taps | > 30% (ASA), > 10% (social) |
| CPI | Spend / Installs | < LTV / 3 |
| CPA | Spend / Purchases | < LTV |
| ROAS | Revenue / Spend | > 1.0 (break even), > 2.0 (good) |
| D7 ROAS | Day 7 Revenue / Spend | Predict long-term ROAS |
Optimization Cadence
| Frequency | Action |
|---|---|
| Daily | Check spend pacing, pause overspending |
| Weekly | Review CPI/CPA by keyword/ad set, adjust bids |
| Bi-weekly | Refresh creative (ad fatigue after 2-3 weeks) |
| Monthly | Review channel mix, reallocate budget to winners |
| Quarterly | Strategic review, test new channels |
Output Format
UA Plan
Monthly Budget: $[X]
Target CPI: $[X]
Target Monthly Installs: [N]
Channel Allocation:
- Apple Search Ads: [X]% ($[X])
- Meta: [X]% ($[X])
- Google UAC: [X]% ($[X])
- Testing: [X]% ($[X])
Week 1: [setup tasks]
Week 2: [launch tasks]
Week 3-4: [optimization tasks]
Campaign Briefs
For each channel, provide:
- Campaign structure
- Targeting strategy
- Creative requirements
- Budget and bid recommendations
- KPI targets
Related Skills
app-launch— UA strategy for launchmonetization-strategy— LTV calculation for CPI targetsapp-analytics— Attribution and funnel trackingcompetitor-analysis— Competitive ad intelligenceab-test-store-listing— Improve organic conversion (lowers effective CPI)
How to use ua-campaign on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ua-campaign
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ua-campaign from GitHub repository eronred/aso-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ua-campaign. Access the skill through slash commands (e.g., /ua-campaign) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★64 reviews- ★★★★★Pratham Ware· Dec 28, 2024
We added ua-campaign from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Omar Desai· Dec 16, 2024
ua-campaign has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Advait Chawla· Dec 12, 2024
Solid pick for teams standardizing on skills: ua-campaign is focused, and the summary matches what you get after install.
- ★★★★★Advait Desai· Dec 12, 2024
ua-campaign fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Alexander Sanchez· Dec 8, 2024
ua-campaign is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Advait Bhatia· Dec 4, 2024
ua-campaign fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Alexander Desai· Nov 27, 2024
Solid pick for teams standardizing on skills: ua-campaign is focused, and the summary matches what you get after install.
- ★★★★★Sofia Iyer· Nov 23, 2024
We added ua-campaign from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sakshi Patil· Nov 19, 2024
ua-campaign fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Carlos Tandon· Nov 3, 2024
ua-campaign is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 64