Definition
Attribution Model
A framework for assigning credit to marketing touchpoints that contribute to a conversion. Common models include first-touch, last-touch, linear, and time-decay.
What does Attribution Model mean?
An attribution model is the rule set an analytics platform uses to decide which marketing touchpoint, or combination of touchpoints, gets credit when a visitor eventually converts. Because a single customer journey can involve an ad click, an email, a review page visit, and a direct return before purchase, the model decides how that credit is divided.
Why does Attribution Model matter?
Choosing a model matters for social proof specifically because trust-building touchpoints like reading testimonials or seeing a live visitor count rarely happen at the final click, so last-touch models can make these elements look worthless even when they are quietly influencing the decision earlier in the journey.
How is Attribution Model applied in practice?
In practice, teams compare first-touch, last-touch, linear, time-decay, and data-driven models inside their analytics platform, then check whether reported ROI for trust signals changes materially between models. Data-driven models built on machine learning are increasingly standard because they estimate real incremental contribution rather than applying a fixed, arbitrary rule.
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Where this fits
Attribution Model sits in the conversion analytics part of the NotiProof resource network.
Read the Conversion Analytics guide