Ejecuta cualquier Skill en Manus
con un clic

Ejecuta cualquier Skill en Manus con un clic

ads-attribution

Estrellas6917

Forks1028

Actualizado17 de mayo de 2026 a las 01:10

Cross-platform attribution health audit covering AdAttributionKit (iOS view-through 24h post-impression, WWDC 2025 configurable windows), GA4 attribution models (data-driven vs last-click), Consent Mode V2 enforcement, server-side attribution stitching, MMP integration health, and cross-device / cross-platform attribution. Use when user says attribution audit, attribution model, AdAttributionKit, AAK, view-through attribution, GA4 attribution, Consent Mode V2, conversion window, attribution window, MMP audit, AppsFlyer audit, Adjust audit, Branch audit, Singular audit, cross-device attribution, or cross-platform attribution.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Ejecutar en Manus

Fuente

AgriciDaniel

AgriciDaniel/claude-ads

Abrir repositorio de GitHub Ver repositorios del creador

Descarga

Ejecutar en Manus

Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Analistas de investigación de mercados y especialistas en marketingOperaciones empresariales y financieras·SOC 13-1161

SKILL.md

readonly

name	ads-attribution
description	Cross-platform attribution health audit covering AdAttributionKit (iOS view-through 24h post-impression, WWDC 2025 configurable windows), GA4 attribution models (data-driven vs last-click), Consent Mode V2 enforcement, server-side attribution stitching, MMP integration health, and cross-device / cross-platform attribution. Use when user says attribution audit, attribution model, AdAttributionKit, AAK, view-through attribution, GA4 attribution, Consent Mode V2, conversion window, attribution window, MMP audit, AppsFlyer audit, Adjust audit, Branch audit, Singular audit, cross-device attribution, or cross-platform attribution.
user-invokable	false
tested_date	"2026-05-17T00:00:00.000Z"
tested_with	claude-code v2.x

Cross-Platform Attribution Health Audit

Attribution decay is the silent revenue killer of 2026 — Consent Mode V2 EEA enforcement (Jul 21, 2025), iOS ATT, SKAdNetwork → AdAttributionKit migration, and the death of third-party cookies have moved every advertiser's attribution signal toward modeled, server-side, first-party data. Misaligned attribution windows or unverified Consent Mode setups will mis-attribute 15-40% of conversions and silently waste budget.

Process

Collect current attribution stack: GA4 property ID, Google Ads conversion actions, Meta CAPI config, Apple Ads / AdAttributionKit registration, MMP dashboard (AppsFlyer / Adjust / Branch / Singular), any sGTM container
Read ads/references/conversion-tracking.md for the cross-platform tracking baseline
Evaluate attribution health per surface (web, iOS app, Android app, server-side)
Score each surface PASS / WARNING / FAIL
Generate findings report with cross-channel attribution map and remediation plan

What to Analyze

iOS Attribution (AdAttributionKit + ATT)

AdAttributionKit registered with Apple Ads (post-Apr 10, 2025 cutover); registration creates dual attribution with SKAdNetwork (SKAN v1-3)
View-through attribution active — 24h post-impression view window configured on Apple Ads campaigns where applicable
Configurable attribution windows (WWDC 2025): per-campaign window customization audited; overlapping re-engagement windows used for subscription / re-acquisition campaigns
Country code in postbacks (WWDC 2025): enabled if you need geo attribution detail
ATT (App Tracking Transparency) opt-in rate monitored; <30% opt-in means heavy reliance on SKAN/AAK + privacy threshold
Privacy threshold awareness — low-volume campaigns may receive null postbacks; campaign consolidation recommended below 1k installs/week

Web Attribution (GA4 + Google Ads + Meta CAPI)

GA4 attribution model: Data-Driven (default for properties with enough data) vs Last-Click — confirm setting is intentional, not residue from a pre-2026 migration
Google Ads attribution model: Data-Driven default; per-conversion override allowed but audit any Last-Click overrides for justification
Cross-channel attribution in GA4: confirm Google Ads, Meta, LinkedIn, TikTok, Microsoft are integrated as platforms with consent + auto-tagging
Conversion windows per channel appropriate to sales cycle:
- E-commerce: 7-day click, 1-day view
- B2B / lead gen: 30-90 day click, no view
- SaaS subscription: 30 day click, 1-day view, plus offline conversion import for the activation event
Conversion lag analysis run quarterly to validate window choice

Consent Mode V2 (EU/EEA + recommended globally)

Consent Mode V2 active (enforcement began Jul 21, 2025 for EEA/UK)
Advanced Mode (not Basic) — Basic loses ~25% of EEA conversion signal
700+ ad clicks/day over 7 days per country/domain threshold met for Advanced Mode behavioral modeling to activate
Signal recovery measured: aim 15-25% conversion recovery vs pre-CMV2 baseline
Consent banner correctly reads CMV2 signals (not just GDPR boilerplate)

Server-Side Attribution Stitching

First-party server logs stored with user_id + event_id + timestamp
- platform tag for every conversion event
MMP + first-party stitching: MMP (AppsFlyer / Adjust / Branch / Singular) receives both client-side AND server-side events with shared event_id for deduplication
Server-side conversion import to Google Ads (offline conversion import) and Meta (CAPI) within 72h of the conversion event
Hash quality: email / phone fields SHA-256 hashed and lowercased before send; cross-platform hashing convention consistent
Deduplication rate ≥90% (matched event_id between client + server)

MMP Health (Mobile Apps)

MMP integrated — AppsFlyer / Adjust / Branch / Singular set up before any paid campaigns launched
Apple Ads connected as a partner in MMP dashboard
Post-install events sent back to Apple Ads, Google UAC, Meta App Campaigns, TikTok (enables Maximize Conversions and ROAS bidding)
Event quality: purchase, subscription_start, trial_start, or other revenue events tracked (not just install → registration)
Postback configuration: SKAN/AAK conversion values map to meaningful user actions

Cross-Device & Cross-Platform Attribution

Customer Match lists synced to Google Ads, Meta (Customer File CA), LinkedIn Matched Audiences, TikTok Customer File for cross-device stitching
Enhanced Conversions active for Google Ads (hashed first-party data, ~10% uplift on properly-implemented setups)
CAPI customer_information parameters (em, ph, fn, ln, ct, st, zp, external_id) sent server-side to Meta
Privacy-safe identifiers (Customer Match hashes, GAID/IDFA where permitted) included in conversion exports

Key Thresholds

Metric	Pass	Warning	Fail
GA4 attribution model	Data-Driven	Last-Click (intentional)	Last-Click (residual)
Consent Mode V2	Advanced + verified	Advanced (unverified)	Basic / Not implemented
EMQ (Meta Purchase)	≥8.0	6.0-7.9	<6.0
Event dedup rate	≥90%	70-89%	<70%
Server-side / client-side hit ratio	≥80%	50-79%	<50%
ATT opt-in (iOS)	≥30%	15-29%	<15% (heavy SKAN reliance)
Offline conversion import latency	<24h	24-72h	>72h
Customer Match list freshness	<7 days	7-30 days	>30 days

Output

Attribution Health Score

Attribution Health Score: XX/100 (Grade: X)

iOS (AdAttributionKit + ATT):    XX/100  ████████░░  (20%)
Web (GA4 + Ads + CAPI):           XX/100  ██████████  (30%)
Consent Mode V2:                  XX/100  █████████░  (15%)
Server-Side Stitching:            XX/100  ████████░░  (20%)
MMP Health (mobile):              XX/100  ███████░░░  (10%)
Cross-Device / Customer Match:    XX/100  ██████░░░░  (5%)

Deliverables

ATTRIBUTION-AUDIT.md: Full surface-by-surface findings
Cross-channel attribution map (which platform owns which conversion windows + which events)
Modeled vs reported conversion delta (estimated revenue under- or over-attribution)
Quick Wins sorted by signal-recovery $ impact
Pre-launch checklist for any new platform (Amazon, Apple Ads, TikTok) to ensure attribution is wired before spend begins

Más de este repositorio

mismo repositorio

ads

AgriciDaniel/claude-ads

Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads. 250+ checks with scoring, parallel agents, industry templates, AI creative generation, attribution and server-side tracking deep dives.

2026-05-186.9k

ads-audit

AgriciDaniel/claude-ads

Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads, and Apple Ads accounts via 6 parallel audit agents. Amazon Ads, cross-platform attribution, and server-side tracking are covered by their standalone sub-skills (ads-amazon, ads-attribution, ads-server-side-tracking) — Wave 3 will add their paired agents so they can dispatch in parallel here. Generates health score per platform and aggregate score (0-100). Use when user says audit, full ad check, analyze my ads, account health check, paid media audit, paid advertising audit, ad spend audit, advertising audit, or PPC audit.

2026-05-186.9k

ads-create

AgriciDaniel/claude-ads

Campaign concept and copy brief generator for paid advertising. Reads brand-profile.json and optional audit results to produce structured campaign concepts, messaging pillars, and copy briefs. Outputs campaign-brief.md to the current directory. Run after /ads dna and before /ads generate. Triggers on: create campaign, campaign brief, ad concepts, write ad copy, campaign strategy, ad messaging, creative brief, generate concepts.

2026-05-186.9k

ads-dna

AgriciDaniel/claude-ads

Brand DNA extractor for paid advertising. Scans a website URL to extract visual identity, tone of voice, color palette, typography, and imagery style. Outputs brand-profile.json to the current directory. Run before /ads create or /ads generate for brand-consistent creative. Triggers on: brand DNA, brand profile, extract brand, brand identity, brand colors, what is the brand voice, analyze brand, brand style guide.

2026-05-186.9k

ads-plan

AgriciDaniel/claude-ads

Strategic paid advertising planning with industry-specific templates. Covers platform selection, campaign architecture, budget planning, creative strategy, and phased implementation roadmap. Use when user says ad plan, ad strategy, campaign planning, media plan, PPC strategy, or advertising plan.

2026-05-186.9k

ads-apple

AgriciDaniel/claude-ads

Apple Ads (formerly Apple Search Ads) deep analysis for mobile app advertisers. Evaluates campaign structure, bid health, Custom Product Pages (CPPs), AdAttributionKit (view-through attribution 24h post-impression), MMP attribution, budget pacing, TAP coverage (Today/Search/Product Pages), Maximize Conversions bidding, and goal CPA benchmarks by country. Use when user says Apple Ads, Apple Search Ads, ASA, App Store ads, Apple ads, Search Ads, AdAttributionKit, view-through attribution, or is advertising a mobile app on iOS.

2026-05-186.9k