PyMC-Marketing vs Sellforte

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.

Sellforte is an enterprise Marketing Mix Modeling platform for ecommerce, direct-to-consumer, and retail brands. It produces incrementality-based recommendations at campaign and ad-set level, with AI agents named Media Planner, Media Buyer, and Experiments. Approved budget and bid recommendations can be sent through APIs to Meta, Google, and TikTok, with user confirmation required before changes go live. Built-in connectors cover more than 500 data sources, including Snowflake, BigQuery, Amazon S3/RDS, and Microsoft Azure Blob/Azure SQL. Customer data is isolated by environment, and the company describes audits, VPN, IP whitelisting, Azure AD SSO, and Google SSO. Marketing measurement does not use personal data, according to Sellforte. Plans start at $1,900 a month for Incrementality Testing and reach $8,500 a month for Enterprise, based on average monthly media spend of $300,000.