ads-attribution
Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies.
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads /tmp/ads-attribution && cp -r /tmp/ads-attribution/skills/ads-attribution ~/.claude/skills/ads-attributionSKILL.md
# Attribution Audit 1. Read the main `ads` contract and normalized account snapshots. 2. Declare the business conversion, value, data window, timezone, currency, and decision the attribution analysis must support. 3. Inventory every browser, server, platform, analytics, MMP, offline, and app attribution source with its identity, counting, deduplication, and privacy rules. 4. Reconcile comparable events and explain differences caused by eligibility, view-through rules, consent, modeled data, conversion lag, thresholds, or scope. 5. Separate measurement quality from platform-reported performance. 6. Return findings, contradictions, confidence, missing evidence, and a measurement improvement plan through the common JSON contract. Do not assume one platform is ground truth, add incompatible reports together, or recommend an attribution model without the operator's decision context. ## Comparability gate Reject aggregation until the sources share, or are explicitly normalized to, the same conversion event and value definition, attribution window, click/view scope, counting method, deduplication identity, timezone, currency, attribution model, and modeled-data treatment. Until then, report the values side by side with their definitions; do not compute a total. Example: Meta seven-day conversions and Google thirty-day conversions are incompatible. Refuse to add them, reconcile windows and definitions first, and only aggregate a newly comparable dataset.
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
Amazon Ads evidence and controls specialist. Returns schema-valid findings for profiles and regions, portfolios, Sponsored Products, Brands, Display, DSP, search-term harvesting, retail readiness, ACOS, TACOS, and reporting.
Apple Ads evidence and controls specialist. Returns schema-valid findings for campaign and keyword structure, Search Match, placements, product pages, bidding, budget, AdServices attribution, and MMP reconciliation.
Budget and finance specialist. Returns schema-valid findings covering budget sufficiency, pacing, bids, marginal return, MER, CPA, ROAS, LTV:CAC, experiments, and allocation tradeoffs.
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.
Google Ads evidence and controls specialist. Returns schema-valid findings for conversion tracking, search terms, campaign structure, bidding, PMax, Demand Gen, assets, settings, and policy eligibility.
LinkedIn Ads evidence and controls specialist. Returns schema-valid findings for Insight Tag and conversions, professional audiences, lead generation, creative, bidding, pacing, ABM, and policy eligibility.
Meta Ads evidence and controls specialist. Returns schema-valid findings for Pixel and CAPI, attribution, creative diversity and fatigue, account structure, audiences, placements, automation, and policy eligibility.