⚡ Performance Marketing

Attribution Modeling: Markov Chains & Shapley Value in Media Science

Executive Intelligence Brief

Moving beyond last-click attribution: utilizing Markov chain removal effects and cooperative game theory (Shapley value) to evaluate marketing touchpoints.

Last-click attribution severely undervalues upper-funnel display and video prospecting. Algorithmic multi-touch attribution calculates the true marginal conversion value of every touchpoint.

1. Algorithmic Attribution Models

  • Markov Chain Transition Matrices: Measures removal effects by calculating the drop in total network conversions when a specific marketing channel is removed from the user journey.
  • Shapley Value (Game Theory): Evaluates fair credit allocation across all possible channel coalitions to determine incremental lift.
  • Data-Driven Budget Reallocation: Prevents over-investing in branded search while restoring optimal budget to prospecting channels.

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