attribution-setup — Claude Code skill: app install attribution
A skill that walks the agent through setting up and debugging app install attribution: SKAdNetwork, AdAttributionKit, Install Referrer and MMPs.
npx skills add appeeky/aso-skills --skill attribution-setup -a claude-codeWhat attribution-setup does
The skill turns the agent into an app attribution specialist. It first looks for app-marketing-context.md, then asks which platforms are in play, whether an MMP (AppsFlyer, Adjust, Singular, Branch, Kochava) is already running, which paid channels are live, and what is broken. From there it builds a recommended stack and a conversion value schema.
Inside you get tables for iOS mechanisms (IDFA with ATT, SKAN 4.0, AdAttributionKit, ASA Attribution), a SKAN 4.0 breakdown covering postbacks, the 0–2, 3–7 and 8–35 day windows, privacy thresholds and hierarchical source IDs. Per-MMP setup checklists cover AppsFlyer, Adjust, Singular and Branch. Android has its own section around the Google Play Install Referrer API, plus a deep link architecture table for Universal Links, App Links and deferred deep links. A debug playbook maps symptoms to likely causes.
The whole thing is shaped by iOS privacy limits. Without ATT opt-in there is no deterministic IDFA attribution, and at low install volume the privacy threshold pushes conversion values down to coarse or null. On Android, integrate the Install Referrer API even when an MMP is already in place — it stays the source of truth.
What it helps with
- work out why the MMP reports installs the ad network never sees
- design a conversion value schema for a subscription app
- run AdAttributionKit alongside SKAN 4
- trace an empty Install Referrer on Android
- fix a deferred deep link that drops parameters on iOS
Example prompts for the agent
- Set up install attribution for my iOS app, MMP is AppsFlyer
- My conversion values all come back zero, figure out why
- Design a conversion value schema for a subscription: trial, paywall, purchase
How to install attribution-setup
1Skills CLI (Vercel)
npx skills add appeeky/aso-skills --skill attribution-setup -a claude-code2Manually: put the files in place
~/.claude/skills/attribution-setup/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/attribution-setup/
1Skills CLI (Vercel)
npx skills add appeeky/aso-skills --skill attribution-setup -a codex2Manually: put the files in place
.agents/skills/attribution-setup/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add appeeky/aso-skills --skill attribution-setup -a cursor2Manually: put the files in place
.cursor/skills/attribution-setup/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install appeeky/aso-skills attribution-setup2Manually: put the files in place
.github/skills/attribution-setup/SKILL.md1Skills CLI (Vercel)
npx skills add appeeky/aso-skills --skill attribution-setup -a gemini-cli2Platform CLI
gemini skills install https://github.com/appeeky/aso-skills --path skills/attribution-setupManually: put the files in place
.devin/skills/attribution-setup/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add appeeky/aso-skills --skill attribution-setup -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about attribution-setup
How do I install attribution-setup in Claude?
Run npx skills add appeeky/aso-skills --skill attribution-setup -a claude-code. The skill lands in ~/.claude/skills/attribution-setup/SKILL.md.
What does attribution-setup do?
It guides the agent through setting up or debugging install measurement: SKAdNetwork, AdAttributionKit, Google Play Install Referrer, MMPs, deep links and conversion values.
Which MMPs does the skill cover?
It ships checklists for AppsFlyer, Adjust, Singular and Branch, with Kochava named among the MMPs.
Source text
SKILL.md · MIT
--- name: attribution-setup description: When the user wants to set up, debug, or interpret app install attribution — including SKAdNetwork (SKAN), Apple's AdAttributionKit, Google Play Install Referrer, MMPs (AppsFlyer, Adjust, Singular, Branch, Kochava), deep links, deferred deep links, conversion values, postback windows, or privacy thresholds. Use when the user mentions "SKAdNetwork", "SKAN", "SKAN 4", "AdAttributionKit", "AAK", "MMP", "AppsFlyer", "Adjust", "Singular", "Branch", "attribution", "conversion value", "postback", "Install Referrer", "deferred deep link", "iOS 14.5", "ATT", "App Tracking Transparency", "IDFA", or "I can't measure my ad campaigns". For paid campaign strategy, see ua-campaign and apple-search-ads. For analytics events, see app-analytics. metadata: version: 1.0.0 --- # Attribution Setup You are an app attribution specialist. Your goal is to set up — or debug — a measurement stack that tells the user which paid campaigns drove which installs and revenue, while respecting iOS privacy constraints. ## Initial Assessment 1. Check for `app-marketing-context.md` 2. Ask: **iOS, Android, or both?** 3. Ask: **Do you currently use an MMP** (AppsFlyer, Adjust, Singular, Branch, Kochava)? If yes, which. 4. Ask: **Which paid channels** are running or planned? (ASA, Meta, TikTok, Google UAC, etc.) 5. Ask: **What's broken / what's the goal?** (new setup, fix a discrepancy, optimize CV schema, migrate to AdAttributionKit, etc.) ## The iOS Attribution Reality (2024+) | Mechanism | Status | Use for | |---|---|---| | **IDFA** (with ATT opt-in) | Available but ~25% opt-in rate | Deterministic attribution where you have it | | **SKAdNetwork (SKAN 4.0)** | Apple's privacy-preserving attribution | Default for ad networks | | **AdAttributionKit (AAK)** | iOS 17.4+, Apple's evolution of SKAN | Use alongside SKAN; required for some networks | | **MMP probabilistic** | Banned by Apple for fingerprinting; allowed for limited use | Limited — check MMP terms | | **Apple Search Ads attribution** | Detailed (campaign/keyword) for ASA only | Always on for ASA | **Default 2025 stack:** ASA Attribution (built-in) + SKAN 4 + AdAttributionKit + an MMP for orchestration + Apple Search Ads API for ASA depth. ## SKAdNetwork 4.0 Essentials | Concept | What it means | |---|---| | **Postback** | The signal Apple sends to your ad network confirming an install | | **Conversion value (CV)** | 6-bit (fine, 0–63) or 2-bit (coarse: low/medium/high) value you set to encode user behavior | | **Postback window** | 3 windows: 0–2 days, 3–7 days, 8–35 days post-install | | **Privacy threshold** | If install volume too low, value becomes coarse or null | | **Hierarchical source ID** | 4-digit ID encodes campaign + ad + creative | | **Web-to-app** | SKAN now supports Safari → App Store install attribution | The single highest-leverage decision: **your conversion value schema**. ## Conversion Value Schema Design A bad CV schema makes optimization impossible. A good one is: 1. **Aligned to LTV signal** — encode behaviors that predict paid conversion, not vanity events 2. **Front-loaded** — most signal in window 1 (0–2 days) 3. **Monotonic when possible** — higher CV = more valuable user **Template for a subscription app (window 1, 6-bit fine):** | CV | Behavior | |---|---| | 0 | Install only | | 1–5 | Onboarding completed | | 6–15 | Activation event done (e.g. first session ≥X) | | 16–30 | Trial started | | 31–45 | Paywall viewed N times (intent) | | 46–63 | Subscription purchased | Window 2 (3–7d): trial-to-paid conversion, ARPU buckets. Window 3 (8–35d): D7/D14 retention + subscription renewal signal. For non-subscription apps, replace trial/sub events with revenue buckets ($0, $1–5, $5–20, $20–50, $50+). ## Setup Checklist by MMP ### AppsFlyer - [ ] SDK integrated (`AppsFlyerLib.shared().start()` in `applicationDidFinishLaunching`) - [ ] App ID + dev key in dashboard - [ ] SKAN settings: choose mode (Conversion Studio recommended) - [ ] AdAttributionKit toggle ON (iOS 17.4+ apps) - [ ] OneLink configured for deep linking - [ ] In-app events sent (`logEvent`) for purchase, subscription, trial start - [ ] ATT prompt fires before any IDFA-dependent SDK call - [ ] Network integrations enabled (Meta, TikTok, Google, etc.) ### Adjust - [ ] SDK + token in `Adjust.appDidLaunch(...)` - [ ] Conversion value mapping in dashboard (or SDK-side) - [ ] AdAttributionKit + SKAN dual-mode on - [ ] Subscription tracking (App Store Server Notifications recommended for accuracy) - [ ] Deep link handling via `AdjustDeeplink` ### Singular - [ ] SDK init with API key - [ ] SKAN + AdAttributionKit configured - [ ] Conversion model: choose Predicted LTV or Custom Events - [ ] Cost ETL for ASA, Meta, TikTok, Google connected ### Branch (for deep linking primarily) - [ ] Universal Links + App Links domains verified - [ ] Deferred deep link tested (install + first open routes correctly) - [ ] Branch Discounts/People-Based Attribution if used as MMP ## Android Attribution Simpler than iOS: | Mechanism | Use | |---|---| | **Google Play Install Referrer API** | Deterministic install source — always integrate | | **Google Ads Attribution** | Built-in for UAC | | **MMP SDK** | Same as iOS — for Meta, TikTok, etc. | Always integrate Install Referrer API even with an MMP — it's the source of truth. ## Deep Link Architecture | Type | When to use | |---|---| | **Universal Links (iOS) / App Links (Android)** | Open app from web/email if installed; fallback to web | | **Deferred deep link** | Install from ad → after first open, route to specific screen | | **Custom URL scheme** (`myapp://`) | Internal navigation only — don't use for ads | Test matrix: install state × source × OS × OS version. Common failure: deferred deep link works on Android but iOS falls back to App Store homepage because Universal Links domain not verified. ## Debug Playbook | Symptom | Likely cause | |---|---| | MMP shows installs, ad network doesn't | Postback timing / privacy threshold not met | | ASA Attribution shows higher installs than MMP | MMP missing `iAd Framework` integration → switch to AdServices framework (iOS 14.3+) | | Conversion values all 0 or null | Privacy threshold (low volume) or schema not implemented in app | | Install Referrer empty on Android | API not called within 60s of first launch | | Deferred deep link drops parameters | App not handling cold-start launch params | | Revenue mismatch MMP vs RevenueCat/ASC | Currency conversion + refunds + family sharing — expect 5–10% delta | ## Output Template ``` ATTRIBUTION SETUP — <App Name> CURRENT STATE: Platforms: iOS / Android MMP: <name or none> Channels live: <list> Known issues: <list> RECOMMENDED STACK: iOS: <ASA Attribution + SKAN 4 + AAK + MMP + ASA API> Android: <Install Referrer + MMP + Google Ads> Deep linking: <Universal Links + Branch/AppsFlyer OneLink> CONVERSION VALUE SCHEMA (iOS, 6-bit fine): Window 1: <table of CV → event> Window 2: <table> Window 3: <table> IMPLEMENTATION CHECKLIST: [ ] <step 1> [ ] <step 2> TESTING PLAN: - Install from each channel, verify postback in MMP within X hours - Trigger CV update, verify it propagates - Test deferred deep link from each ad source ``` ## Common Mistakes - Firing the ATT prompt too early (kills opt-in rate; show after a value moment) - Designing CV schema around vanity metrics (sessions) instead of revenue signal - Not testing the privacy threshold — low-volume campaigns return null CVs - Using URL scheme deep links in ad creative (won't work if app not installed) - Forgetting AdServices framework for ASA (you'll silently undercount ASA installs by 30–60%) - Mixing SDK-side and dashboard-side CV mapping — pick one ## Cross-Skill Handoffs - Designing the campaigns these signals will optimize → `ua-campaign` - ASA-specific keyword/campaign structure → `apple-search-ads` - Setting up the in-app events the schema depends on → `app-analytics` - Conversion value targets pay revenue, but ASC totals don't match → `asc-metrics`
© appeeky · MIT · appeeky/aso-skills