AGENT SKILLBY ERONRED
UA campaign
AT A GLANCE
UA campaign is a go-to-market skill for AI agents. Provides expert guidance for guidance for mobile app user acquisition across all major ad platforms. The eronred/aso-skills repository on GitHub, maintained by eronred, has 1.6K stars and the MIT license. To add it, run npx skills add eronred/aso-skills --skill ua-campaign
- SOURCE REPOSITORY
- eronred/aso-skills (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 6.1 KB201 LINES
QUICK ANSWER
- WHAT IT IS01
- Provides expert guidance for guidance for mobile app user acquisition across all major ad platforms. Its edge is a particular angle on UA campaign, giving the agent tighter constraints than a plain UA campaign request.
- INPUTS02
- Context the agent needs: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add eronred/aso-skills --skill ua-campaignREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 23
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 testCreative 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)
FAQ
07 QUESTIONS
01What is the UA campaign agent skill?
Provides expert guidance for guidance for mobile app user acquisition across all major ad platforms. It is listed under go-to-market in the 100xLab agent skills directory.
02How do I install UA campaign in Cursor, Claude Code, or Codex?
Run npx skills add eronred/aso-skills --skill ua-campaign in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only UA campaign, not every skill in the repository.
03What does the UA campaign SKILL.md cover?
The SKILL.md includes sections on Initial Assessment, Channel Selection, Budget-Based Recommendations, Channel Comparison, Apple Search Ads (Priority Channel) and Why Start Here. Read the full text on this page or in plain markdown at /resources/agent-skills/eronred-aso-skills--ua-campaign--a0zsmi/raw.
04Which agents can use UA campaign?
UA campaign installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is UA campaign under?
The eronred/aso-skills repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is UA campaign free to use?
Reading, copying and installing UA campaign costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of UA campaign?
UA campaign comes from https://github.com/eronred/aso-skills, which has 1.6K GitHub stars. The SKILL.md is at https://github.com/eronred/aso-skills/blob/HEAD/skills/ua-campaign/SKILL.md. The author is eronred.
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ATTRIBUTION
UA campaign was written by its original authors and is published in eronred/aso-skills (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.