pymc-labs/pymc-marketing

Health v2 · maintenance only

Adoption not part of the score

1265 stars · 417 forks observed · 2026-09-26

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PyMC-Marketing is a Python library of Bayesian marketing analytics models built on PyMC, including Marketing Mix Modeling (MMM), Customer Lifetime Value (CLV), buy-till-you-die models, customer choice, and incrementality estimation. It is actively maintained by PyMC Labs and distributed under the Apache-2.0 license.

Use cases

• build a marketing mix model to measure channel ROI
• estimate customer lifetime value from transaction data
• fit buy-till-you-die models like BG/NBD for repeat purchases
• run Bayesian media mix modeling for budget allocation
• measure marketing incrementality from experiments
• model customer choice with discrete choice or MaxDiff
• forecast adoption with Bass diffusion models

When to choose

• you want Bayesian MMM or CLV models in Python with PyMC
• you need uncertainty quantification for marketing spend decisions
• you want an open-source, actively maintained alternative to commercial MMM tools

When to avoid

• you need a no-code or hosted marketing analytics dashboard
• you are not comfortable with Bayesian modeling or Python
• you need real-time attribution rather than aggregate modeling

Facets

library · maturity active

machine-learning data-science analytics data-science analytics python bayesian pymc marketing-mix-modeling customer-lifetime-value media-mix-model buy-till-you-die marketing-analytics marketing

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