Marketing Attribution in 2026: Which Model Is Right for Your Business?

By Ryan Park, Head of Marketing Analytics | Aether Rep | April 2026

Evidence Grade A

Attribution — the process of assigning credit to marketing touchpoints for driving conversions — is one of the most debated and least-resolved problems in marketing. With the deprecation of third-party cookies and the rise of dark social, attribution has become simultaneously more important and more difficult. This guide cuts through the complexity.

The Main Attribution Models

Model	How It Works	Best For	Limitation
Last Click	100% credit to final touchpoint	Simple direct response	Ignores everything that built awareness
First Click	100% credit to first touchpoint	Brand awareness campaigns	Ignores nurture and conversion triggers
Linear	Equal credit across all touchpoints	Long sales cycles	Not all touchpoints are equal
Time Decay	More credit to recent touchpoints	Short sales cycles	Undervalues top-of-funnel
Data-Driven (GA4)	ML-based credit distribution	High-volume advertisers	Requires significant data; black box

The Practical Reality of B2B Attribution

Most B2B companies should not attempt to build a perfect attribution model. The complexity is prohibitive and the data quality requirements are rarely met. Instead: (1) Use first-party UTM data consistently across all channels. (2) Ask every new customer how they heard about you. (3) Track content's influence on pipeline through CRM touchpoint records. (4) Accept that some channel impact (brand, word-of-mouth) cannot be captured in models.

The 70/20/10 Attribution Rule: Trust 70% of your attribution data, acknowledge 20% is uncertain, and accept 10% is genuinely unmeasurable. Optimise based on the 70% you do understand rather than paralysing yourself on the 30% you don't.

Media Mix Modelling for Mature Programmes

Organisations spending $500K+ monthly on media should consider Media Mix Modelling (MMM) — a statistical approach that analyses historical channel spend and revenue to estimate the marginal contribution of each channel. Unlike attribution tools, MMM captures offline impact, brand awareness, and delayed conversion effects.