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Robyn

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science.

A New Generation of Marketing Mix Modeling

Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Reduces human bias

Reduces human bias

  • Automated hyperparameter optimization with evolutionary algorithms from Facebook's AI library Nevergrad
  • Ridge regression in order to regularize multi-collinearity and prevent overfitting
  • Facebook's Prophet library to automatically decompose the trend, seasonality and holidays patterns
Aligns with the ground-truth

Aligns with the ground-truth

  • It calibrates models based on ground-truth methodologies (Geo-based, Facebook lift, MTA, etc.)
  • Facebook Nevergrad's multi-objective optimization minimizing the error between MMM prediction and ground-truth
Enables actionable decision making

Enables actionable decision making

  • Budget allocator using a gradient-based constrained non-linear solver to maximize the outcome by reallocating budgets
  • Enables frequent modeling outcomes due to stronger automation
  • Allows intuitive model comparisons via automatically generated model one-pagers
Private by Design

Private by Design

  • Privacy friendly, with no requirement for PII or Individual log level data
  • Not dependent on Cookies or Pixel data