Attribution

Every platform claims the conversion. Attribution is how you see the truth across them and spend where it actually works. Reads only; this is measurement, not a spend change.

Confirm the account: list_connected_accounts.

1. Get the cross-platform view

Use get_attribution for the cross-platform attribution view and get_spend_reconciliation for spend differences. Compare conversion counts from ga4_get_report with pull_google_ads_performance, pull_meta_ads_performance, pull_linkedin_ads_performance, pull_microsoft_ads_performance, and pull_reddit_ads_performance for connected accounts. State what each source measures before interpreting differences.

2. Read the discrepancy honestly

• Platforms over-claim on their own last-click view; summed platform conversions usually exceed real total conversions.
• Look at assisted conversions and conversion paths, not just last click. A platform that rarely closes but frequently assists still earns budget.
• View-through and different attribution windows inflate some platforms more than others. Name the window when you compare.

3. Turn it into a decision

Reallocate toward channels that drive incremental conversions, not the ones best at claiming credit. Where the stakes justify it, the true test is a holdout, not a model; be clear that attribution models estimate and only an incrementality test proves lift.

Rules

• Never take one platform's self-reported ROAS as the whole truth. Reconcile first.
• State the attribution window and model behind any number you give.
• Report where platforms disagree and what you would move, then hand budget moves to the optimize skill for approval.