PyMC-Marketing vs rex by AureliaX

PyMC-Marketing is an open-source Python library for Bayesian marketing analytics, with tools for marketing mix modeling (MMM) and customer lifetime value. Its MMM API supports custom priors and likelihoods, adstock and saturation transformations, time-varying effects, diagnostics and out-of-sample predictions. Models can be calibrated against empirical experiments such as lift tests, and built-in budget optimization allocates spend across channels to maximize ROI. Bayesian outputs include posterior distributions and credible intervals for predictions. The library also includes customer choice, Bass diffusion and alpha-stage predicted incrementality by experimentation models, alongside predictive CLV, cohort analysis and customer segmentation. It runs on Linux and can be self-hosted. Current documentation requires Python 3.12 or later, PyMC 6.0 or later and ArviZ 1.2 or later; installation is available through pip with `pip install pymc-marketing`, without requiring a conda environment. The library is free under the Apache 2.0 license. PyMC Labs and PyMC core developers maintain it, and learning resources include a guided path, example notebooks and an API reference.

rex by AureliaX is a Marketing Mix Modelling platform for measuring and improving marketing performance across online and offline channels. Bayesian machine-learning models test starting assumptions against two to three years of historical data. Response curves and scenario planning support recommended budget allocations, while the platform provides budget planning, forecasting and ROI reporting. Users can inspect model components, confidence intervals, initial assumptions and how incoming data changed them. rex connects to more than 500 marketing platforms, including Google Ads, Meta, TikTok, Snapchat, LinkedIn and Pinterest. For offline channels without APIs, templates accept weekly or monthly spend and reach figures. Recommendations are updated monthly and reviewed by the maker’s team. Onboarding typically includes two or three sessions and a monthly review. The service is available through web and API access. Its maker describes it as GDPR-compliant and privacy-first and says it does not rely on user-level cookies. Pricing is tailored to business needs, users and modules, with pilot programs for strategic partners.