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Multi-Touch Attribution (MTA)

The set of rules that decides which marketing touchpoints get credit for a conversion.

Formula

Common models: first touch, last touch, linear, time decay, position based, data driven

What Attribution actually means

Attribution is a modeling choice, not a measurement. Every model distributes a fixed amount of credit across touchpoints according to a rule someone selected, and different rules produce different winners from identical data. Signal loss from privacy changes, cookie deprecation and cross-device behavior has made deterministic attribution steadily less reliable, which is why serious operators pair it with holdout testing.

Worked example

One conversion involves an organic blog visit, a paid social click, a branded search click and an email click. First touch gives all the credit to organic. Last touch gives it all to email. Linear splits it four ways. The customer journey never changed. Only the reporting rule did, and each model would justify moving budget somewhere different.

Why the board cares

Boards should treat attribution reports as directional. The right framing is that attribution allocates credit while a controlled holdout measures causation, and only the second one can justify a large budget shift. A marketing leader who explains that distinction unprompted is usually the one whose numbers end up being trusted.

Common mistakes

  • Presenting a single attribution model as truth rather than as one lens among several.
  • Comparing channel performance across models without stating which model produced which number.
  • Ignoring that platform-reported conversions overlap, so channel numbers sum to more than actual revenue.

Related terms

Back to the full marketing glossary

Next step

Make the number move

If Attribution is the metric under pressure in your next board meeting, the work usually starts with analytics and reporting.

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