PyMC Marketing: Open Source Marketing Analytics Solution

pymc-marketing · PyPI

Marketing Analytics Tools from PyMC Labs. Unlock the power of Marketing Mix Modeling (MMM) and Customer Lifetime Value (CLV) analytics with PyMC-Marketing. This open-source marketing analytics tool empowers businesses to make smarter, data-driven decisions for maximizing ROI in marketing campaigns. This repository is supported by PyMC Labs.

GitHub - pymc-labs/pymc-marketing: Bayesian marketing toolbox in PyMC ...

PyMC-Marketing is and will always be free for commercial use, licensed under Apache 2.0. Developed by core developers behind the popular PyMC package and marketing experts, it provides state-of-the-art measurements and analytics for marketing teams. Due to its open-source nature and active contributor base, new features are constantly added.

Guide — pymc-marketing 0.7.0 documentation

previous. PyMC Marketing: Open Source Marketing Analytics Solution. next. Why PyMC-Marketing? Edit on GitHub

Getting started with pymc-marketing - questions and doubts

A few days ago, I watched the "Qonto's Path to MMM with PyMC" session in the PyMC Labs YouTube channel, which made me doubt a little bit. They are talking about steep learning curves and about months of work (at least) to get a reasonable model done. Also, they switched from using pymc-marketing to building up their model with PyMC on ...

MMM Example Notebook — pymc-marketing 0.7.0 documentation

MMM Example Notebook#. In this notebook we work out a simulated example to showcase the media mix Model (MMM) API from pymc-marketing.This package provides a pymc implementation of the MMM presented in the paper Jin, Yuxue, et al. "Bayesian methods for media mix modeling with carryover and shape effects." (2017).We work with synthetic data as we want to do parameter recovery to better ...

PyMC-Marketing: A Bayesian Approach to Marketing Data Science

Open source: PyMC-Marketing is open-source, developed by a team of PyMC Labs researchers and a community of experts. PyMC Labs has deep expertise in building Bayesian models to provide business insights. Pairing that with input from a community with strong applied marketing expertise and experience makes for a winning combination.