Robyn
Visit ToolRobyn is an open-source Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses AI/ML to democratize modeling knowledge and reduce human bias in marketing performance analysis.
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Robyn is an open-source Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses AI/ML to democratize modeling knowledge and reduce human bias in marketing performance analysis.
Trending
About
Robyn is an experimental, AI/ML-powered, and open-sourced Marketing Mix Modeling (MMM) package developed by Meta Marketing Science. It leverages various machine learning techniques, including Ridge regression, multi-objective evolutionary algorithms for hyperparameter optimization, time-series decomposition, gradient-based optimization for budget allocation, and clustering. The tool is designed to define media channel efficiency, explore adstock rates, and analyze saturation curves. Robyn is particularly suitable for digital and direct response advertisers with granular datasets and numerous independent variables. Its mission is to democratize MMM, inspire industry innovation, reduce human bias in modeling, and foster a strong open-source marketing science community. It is available in both R and Python, with the Python version being a beta, LLM-translated version.
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Pricing & Plans
Open Source
Free
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