Agent Skills

ua-campaign

marketingappeeky3K installs

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.

Install

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

Related skills

reddit-automationflowkit-labs682KFind Reddit threads where people are genuinely asking for what you offer, then draft short, genuinely helpful replies — disclosing your affiliation honestly and naming your product only when it truly answers the question. Two moves: discovery — scan the right subreddits for real needs (recommendation asks, expressed pain, competitor mentions) and rank the few threads where you can actually help; drafting — write from real experience, respect each community's self-promo rules, and keep a human intwitter-automation101-skills547KAutomate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automatwitter-automationqu-skills289KAutomate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automaseo-auditcoreyhaines31216KWhen the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help wit

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers