methodology

Linear Attribution

Linear attribution is a marketing analytics model that assigns equal credit to each touchpoint in a customer's conversion journey. It distributes conversion value evenly across all interactions, from initial awareness to final purchase, providing a balanced view of marketing channel performance. This model is commonly used in digital marketing and analytics platforms to evaluate multi-touch campaigns.

Also known as: Equal Attribution, Multi-Touch Attribution (Linear), Linear Model, Even Attribution, Linear MTA
🧊Why learn Linear Attribution?

Developers should learn linear attribution when building or integrating analytics systems for marketing, e-commerce, or customer journey analysis, as it offers a simple, fair way to assess channel contributions without bias toward first or last interactions. It's particularly useful for scenarios where multiple marketing channels (e.g., social media, email, ads) work together, and teams need a straightforward model to allocate budget or optimize campaigns based on balanced insights.

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Alternatives to Linear Attribution