Agent skill · data analytics · aiskillstore
attribution-reconciler
Use when platform-reported conversions disagree with GA4/ecommerce, when you suspect Meta and Google are double-counting the same sales, or for a standing (monthly) reconciliation workbook that de-dups stacked credit against an order-ID truth set, normalizes attribution windows and currency, compares attribution models, and reads incrementality from a geo/holdout test. Not for the point-in-time R2 veto or RQS gate — use ad-account-auditor; not for the ROI/ROAS ratio math itself — use roi-calculator; not for organic dark-social share attribution or GA4 direct-traffic decomposition — use dark-social-attributor. 付费广告归因对账/去重/增量
Why this skill is useful
Adds domain-specific knowledge for reconciling platform-reported conversions with GA4/ecommerce order IDs, including normalization of attribution windows and currency.
What it needs
About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Attribution Reconciler Based on the ROAS dimension R (attribution integrity) in the ROAS Benchmark. This is the standing de-dup / incrementality workbook: it reconciles platform-reported conversions against the GA4/ecommerce order-ID truth set on a recurring cadence. It delegates all ratio/ROAS math to roi-calculator and does not re-run the R2 veto — ad-account-auditor judges R2 once, point-in-time. This workbook just keeps the truth set clean between audits. Upstream, conversion-signal-qa is the pre-launch instrumentation pass that makes the signal trustworthy and only gates that a dedup rule exists; this skill is the recurring reconciliation that runs on that signal — match, de-dup, quantify, read incrementality. The single rule: the truth set is the order IDs from GA4/ecommerce, never any platform's reported-conversion count. This workbook reconciles paid channels only — decomposing GA4 direct traffic and estimating organic dark-social share attribution belongs to dark-social-attributor. Quick Start Skill Contract Expected output: a reconciliation workbook that maps every platform-reported conversion to (or away from) an order in the truth set, a de-duped conversion count per platform, a normalized-window/currency view, an attribution-model comparison table, and an incrementality read if a holdout exists. Reads: the GA4/ecommerce order-ID export (truth set), each platform's conversion export (reported conversions with claimed order IDs/timestamps/windows), the stated attribution window per platform, currency per export, and any geo/holdout test export (test vs control orders + spend). The ROAS profile (direct-response prospecting incremental-profit) is context only. Writes: a reconciliation workbook at memory/ad/attribution-reconciler/YYYY-MM-DD-<topic>.md — match table, de-duped counts, normalized view, model-comparison table, incrementality read, and a handoff summary. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/attribution-reconciler