Meta Ads Measurement: Attribution Window Comparison

For the surrounding account decisions, compare Meta Ads Measurement: Attribution and Incrementality and use Meta Ads Funnel Stages: A Measurement Architecture as the next diagnostic.

In short

This guide owns one decision artifact: the filled, auditable structure below. Reader-supplied thresholds stay explicit; missing evidence stays missing.

Window matrix

Export every click-through and view-through setting actually selectable in the operator’s account; availability can vary, so this matrix does not declare a universal default.

Available setting row	Interaction type	Configured window	Time basis recorded	What it credits	What it recognizes	Limitation
Click setting A	Click	Exact selectable value copied from the ad-set configuration	Conversion occurrence time, plus report extraction time	Outcomes Meta assigns after a qualifying click inside setting A	Platform-attributed outcomes under that setting	Credit is not incremental lift and can differ from analytics attribution
Click setting B, if selectable	Click	Second exact selectable value; omit row if unavailable	Same conversion-time basis and extraction timestamp as row A	Outcomes assigned after a click inside setting B	The incremental credited set versus A	A wider credit rule can change the report without changing commerce revenue
View setting A	View without a credited click	Exact selectable value copied from configuration	Conversion occurrence time, plus impression and extraction timestamps	Outcomes Meta assigns after a qualifying impression inside setting A	View-through platform attribution	View credit can overlap demand visible in other systems
View setting B, if selectable	View without a credited click	Second exact selectable value; omit row if unavailable	Same basis as view row A	Outcomes assigned inside setting B	The incremental credited set versus view row A	Never compare rows extracted at different times

Window-credited share = (recognized orders credited under the named setting) ÷ (recognized orders eligible in the same conversion window). Source/window: Meta attribution export joined to the commerce order ledger for one conversion cohort. Limitation: assignment of credit is not causation.

Paid ROAS for setting A = (Meta-attributed revenue under setting A) ÷ (Meta spend in the identical scope). Source/window: one frozen Meta export. Limitation: changing the setting changes attribution, not necessarily recognized revenue.

Interpretation boundary

Use the selectable click/view window rows only for its stated decision. Copy each setting actually available in the account and compare frozen exports on the same conversion-time and extraction-time basis. The comparison is invalid when settings or extraction times differ; credited revenue remains attribution, not lift. Reader-supplied thresholds remain inputs, not universal standards.

Where implementation depends on Meta behavior, re-check Meta’s current Business Tools Terms and linked product documentation before release; accessed 2026-08-27. The tables below are operator contracts unless a primary Meta source is linked.

Can software help?

Bach.ai audits your connected Meta account against 100+ checks, ranks what it finds by estimated impact, and proposes specific fixes. It stays read-only until you approve a change, then executes the approved change on Meta; connected Google Ads data is used for intelligence only. Think of it as an automated audit layer that surfaces issues and proposed fixes for your review — not a replacement for your team’s judgment, and it does not generate your creative.

FAQ

How do you compare Meta attribution windows on a fair basis?

Copy each setting actually available in the account and compare frozen exports on the same conversion-time and extraction-time basis.

When is an attribution-window comparison invalid or inconclusive?

The comparison is invalid when settings or extraction times differ; credited revenue remains attribution, not lift.

What can a window comparison tell you about revenue, and what can’t it?

It supports the bounded operating choice encoded by the selectable click/view window rows. It cannot replace missing source records or turn platform credit and observed association into incremental impact.