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Marketing Glossary· ATTRIBUTION

What is Marketing Attribution?

By Nikhil Sharma · Updated 1 November 2026 · Marketing Glossary
Definition

Marketing Attribution is the practice of determining which marketing touchpoints deserve credit for a conversion, across the full path a customer takes before buying.

What is marketing attribution?

Customers rarely convert on the first touch — they might find you via search, return through an ad, and convert after an email. Attribution assigns credit across those touchpoints so you know what actually drove the result and where to invest.

Common attribution models

  • Last-click — all credit to the final touch. Simple but ignores the journey.
  • First-click — all credit to the first touch. Rewards discovery, ignores closing.
  • Linear — equal credit to every touch.
  • Time-decay — more credit to touches nearer the conversion.
  • Data-driven — credit assigned by modelling actual contribution (e.g. in GA4).

Why it matters

Without attribution you over-value last-click channels and under-fund the demand generation that started the journey. Good attribution ties spend to pipeline and revenue — the only honest basis for budget decisions. It depends on clean tracking via UTM parameters and a connected CRM.

Related terms
UTMGA4ROASDemand GenKPI
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Written & reviewed by Nikhil Sharma
Founder, Fabulous Media
Nikhil has led growth for 850+ brands across 35 nations since 2008. Fabulous Media is an invitation-only growth agency that reports on pipeline and revenue, not vanity metrics. Meet the team · Request an invite.

Questions, answered

It is the method of assigning credit for a conversion to the marketing touchpoints that contributed to it, so you can see which channels and campaigns actually drive results.

Last-click, first-click, linear, time-decay and data-driven. They differ in how they spread credit across the touchpoints in a customer's journey; each tells a different, partial story.

There is no single best model. Last-click undervalues discovery; first-click undervalues closing. Data-driven or a blend, tied to pipeline and revenue in your CRM, usually gives the most honest picture.

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