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Best for: confirming whether a channel actually causes revenue before scaling or cutting it.

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Before you start

Attribution measures correlation. If the question is “would these customers have bought anyway?”, you need an experiment.

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The steps

1

Understand what a test measures

Test group vs. holdout, and what incremental lift means. Incrementality →
2

Pick the channel to test

High-spend channels with uncertain attribution (retargeting is the classic case) benefit most.
3

Read results against your other tools

Use lift results to calibrate how you read MTA and MMM for that channel. Mixed Media Modeling →

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What to expect

Tests run for a bounded period and produce a lift estimate you can act on — feeding back into how much you trust each channel’s attributed numbers. MTA methodology · Attribution models