ua-campaign
appeeky/aso-skills
Plan and optimize paid user acquisition campaigns across Apple Search Ads, Meta, Google, TikTok, and more.
What is ua-campaign?
Expert guidance for planning, launching, and optimizing mobile app user acquisition campaigns. Use this when planning paid ad strategies, selecting channels based on budget, or optimizing campaign performance across platforms like Apple Search Ads, Meta, Google UAC, and TikTok.
- Assess budget and recommend channel mix (ASA, Meta, Google UAC, TikTok, Snapchat, Reddit, Twitter/X)
- Structure campaigns with brand, category, competitor, and discovery targeting
- Create audience strategies including lookalike audiences and interest-based segmentation
- Provide creative best practices for video and static ads across platforms
- Set CPI/CPA targets and optimization cadence (daily, weekly, bi-weekly, monthly)
- Track funnel metrics (CTR, CVR, CPI, CPA, ROAS, D7 ROAS) and identify optimization opportunities
How to install ua-campaign
npx skills add https://github.com/appeeky/aso-skills --skill ua-campaignHow to use ua-campaign
- 1.Gather initial context: monthly UA budget, target CPI/ROAS, current LTV, target audience, countries, and app category
- 2.Review the budget-based channel recommendations table to determine which platforms to prioritize
- 3.For Apple Search Ads: structure campaigns (brand, category, competitor, discovery) and set bids by campaign type
- 4.For Meta: create ad sets with lookalike audiences, interest targeting, and broad targeting; test video and static creatives
- 5.For Google UAC: provide 4 text ideas, 20 images, and 5 videos; set target CPI or CPA
- 6.Set up daily, weekly, bi-weekly, and monthly optimization cadence: monitor spend pacing, adjust bids, refresh creative, reallocate budget
- 7.Track funnel metrics (CTR, CVR, CPI, CPA, ROAS, D7 ROAS) and pause underperforming keywords/ad sets
Use cases
- Planning a $10K/month campaign across Apple Search Ads and Meta with target $2 CPI
- Optimizing underperforming Google UAC campaigns by adjusting creative and CPA targets
- Structuring Apple Search Ads with brand, category, competitor, and discovery campaigns
- Creating Meta lookalike audiences from paying users and testing creative variations
- Allocating budget across channels based on monthly spend ($1K–$100K+)
- Mobile app marketers planning paid user acquisition
- App growth managers optimizing campaign performance
- Product managers evaluating channel ROI and budget allocation
- Marketing teams launching new apps or scaling existing ones
- Agencies managing multi-channel campaigns for app clients
ua-campaign FAQ
Use the budget-based recommendations: under $1K use Apple Search Ads only; $1K–$5K add one social channel; $5K–$20K add Meta and Google; $20K–$100K add TikTok and test new channels; $100K+ run all channels plus programmatic and influencer.
Target CPI should be less than LTV / 3 to ensure profitability. For example, if LTV is $9, target CPI should be under $3. Start with channel averages (ASA $1–3, Google UAC $0.5–2, Meta $1–4) and adjust based on your app's economics.
Daily: check spend pacing and pause overspending. Weekly: review CPI/CPA by keyword/ad set and adjust bids. Bi-weekly: refresh creative to combat ad fatigue. Monthly: review channel mix and reallocate budget to winners.
Apple Search Ads is the priority channel for any budget because it has the highest intent (users actively searching), best conversion rates (30–50% tap-to-install), and lowest complexity. Start there, then add Meta or Google UAC as budget grows.
Refresh creative every 2–3 weeks. For Meta, test new video hooks, carousel variations, and UGC-style testimonials. For Apple Search Ads, move winning Discovery keywords to exact match campaigns and pause underperforming ones.
Full instructions (SKILL.md)
Source of truth, from appeeky/aso-skills.
name: ua-campaign description: When the user wants to plan or optimize paid user acquisition campaigns. Also use when the user mentions "Apple Search Ads", "user acquisition", "paid ads", "UA", "ad campaign", "install campaign", "Facebook ads for apps", "TikTok ads", or "cost per install". For organic growth, see aso-audit. For launch-specific UA, see app-launch. metadata: version: 1.0.0
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)
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