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ua-campaign

ua-campaign

github.com/appeekyMarketing & growth2.2k3.3k installsUpdated 3w ago
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About ua-campaign

A user acquisition planning skill for mobile app teams. It uses budget, cost targets, and audience details to shape channel plans, campaign briefs, and ongoing optimization.

Key features

  1. 01Select channels based on budget
  2. 02Plan Apple Search Ads campaigns
  3. 03Develop Meta audiences and creatives
  4. 04Prepare Google UAC assets
  5. 05Track CPI, CPA, and ROAS

Use cases

  1. 01Create a paid acquisition plan for an app launch
  2. 02Allocate channel budgets against a CPI target
  3. 03Review ad set performance and adjust bids

Install

Copy the command and run it in a terminal.

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

After installing, type/ua-campaignin Claude Code to confirm it loaded.

Details

From the project README

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 BudgetRecommended Channels
< $1KApple Search Ads (Basic) only
$1K-$5KApple Search Ads (Advanced) + 1 social channel
$5K-$20KASA + Meta + Google UAC
$20K-$100KASA + Meta + Google + TikTok + testing new channels
$100K+All channels + programmatic + influencer
Channel Comparison
ChannelAvg CPIIntentBest ForComplexity
Apple Search Ads$1-3Very HighAll iOS appsLow
Google UAC$0.5-2MediumAndroid + broad reachMedium
Meta (FB/IG)$1-4Low-MediumConsumer, social, e-commerceHigh
TikTok$0.5-3LowYoung demographics, gamesMedium
Snapchat$0.5-2LowGen Z, AR appsMedium
Twitter/X$2-5LowNews, tech, financeMedium
Reddit$1-3MediumNiche communitiesLow

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 TypeBid StrategyTarget CPA
BrandLow bids, high volume< $0.50
CategoryMedium bids$1-3
CompetitorHigher bids, lower volume$2-5
DiscoveryLow 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
MetricFormulaTarget
CTRTaps / Impressions> 5% (ASA), > 1% (social)
CVRInstalls / Taps> 30% (ASA), > 10% (social)
CPISpend / Installs< LTV / 3
CPASpend / Purchases< LTV
ROASRevenue / Spend> 1.0 (break even), > 2.0 (good)
D7 ROASDay 7 Revenue / SpendPredict long-term ROAS
Optimization Cadence
FrequencyAction
DailyCheck spend pacing, pause overspending
WeeklyReview CPI/CPA by keyword/ad set, adjust bids
Bi-weeklyRefresh creative (ad fatigue after 2-3 weeks)
MonthlyReview channel mix, reallocate budget to winners
QuarterlyStrategic 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)

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