Overview

AMMM is a Python library specifically designed for Marketing Mix Modelling (MMM).

Key Features:

• MMM allows users to conduct detailed analyses directly from standard CSV files, making the process straightforward and accessible.

• Users can start their analyses quickly with sensible default settings. Additionally, AMMM offers extensive customization options through YAML configuration for those who need more tailored solutions.

• The library generates a wide array of insightful plots, which are automatically organized into timestamped directories. This feature helps users easily track and review their analysis results over time.

• AMMM enables the incorporation of domain knowledge or previous modeling results through customizable Bayesian priors. For more detailed guidance on this feature, users can refer to the Prior Calibration Guide.

• AMMM provides tools to optimize marketing spend across various channels, helping users make data-driven decisions to enhance their marketing strategies.