What it means
Attribution is the answer to "which marketing actually worked?" There''s no perfect model — every approach (first-touch, last-touch, linear, time-decay, position-based, data-driven) makes a trade-off. Modern teams typically combine a platform model for in-channel optimisation, a self-reported "how did you hear about us?" field for directional truth, and incrementality tests to validate the channels that matter most.
Worked example
Last-touch credits all closed deals to branded search. Switching to a position-based model (40% first, 40% last, 20% middle) reveals that LinkedIn ads start two-thirds of the deals that branded search closes. The team doesn''t cut LinkedIn — they double it.
Why it matters
Bad attribution funds the channels that close deals and starves the channels that create them. Over a few quarters, that compounds into a brand nobody''s heard of and a pipeline that''s shrinking.
Common mistakes
- Treating any single model as ground truth.
- Trusting platform-reported conversions in isolation — every platform overclaims.
- Skipping incrementality tests, the only way to know what actually moved revenue.