Analytics
Attribution Modeling
Definition
Attribution modeling is the framework for determining which marketing touchpoints and channels receive credit for driving conversions and revenue. AI-powered attribution uses machine learning to analyze the full customer journey across multiple touchpoints, assigning weighted credit more accurately than rule-based models like first-touch or last-touch attribution.
Example
AI attribution models can track a customer who first discovered you through a blog post, engaged on social media, and converted after a debate replay — crediting each touchpoint proportionally.
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