ua-campaign

eronred/aso-skills · updated Apr 8, 2026

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$npx skills add https://github.com/eronred/aso-skills --skill ua-campaign
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summary

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.

skill.md

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

  1. Check for app-marketing-context.md — read it for context
  2. Ask for monthly UA budget (this determines channel strategy)
  3. Ask for target CPI (cost per install) or target ROAS
  4. Ask for current LTV (lifetime value per user)
  5. Ask for target audience (demographics, interests, behaviors)
  6. Ask for target countries
  7. 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
Reddit $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

  1. Seed: Upload paying user emails → create Lookalike
  2. Expand: Lookalike 1% → 3% → 5% as you scale
  3. Layer: Interest targeting for specific segments
  4. 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 launch
  • monetization-strategy — LTV calculation for CPI targets
  • app-analytics — Attribution and funnel tracking
  • competitor-analysis — Competitive ad intelligence
  • ab-test-store-listing — Improve organic conversion (lowers effective CPI)
how to use ua-campaign

How to use ua-campaign on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/eronred/aso-skills --skill ua-campaign

The skills CLI fetches ua-campaign from GitHub repository eronred/aso-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ua-campaign

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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.864 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.

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