lightweight_mmm
GeoexperimentsResearch
| lightweight_mmm | GeoexperimentsResearch | |
|---|---|---|
| 5 | 1 | |
| 797 | 106 | |
| 4.6% | - | |
| 5.5 | 10.0 | |
| about 2 months ago | over 4 years ago | |
| Python | R | |
| Apache License 2.0 | Apache License 2.0 |
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lightweight_mmm
- Lightweight (Bayesian) Marketing Mix Modeling (Google Unofficial)
- Show HN: Marketing software for solopreneurs who don't like marketing
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Mixed Marketing Modeling Approach for attribution?
Other packages to consider are LightweightMMM (from Google), which takes a Bayesian approach and is in Python (vs. R for Robyn). It's not as fully featured as Robyn (you don't get all the nice one-pagers and graphs output so easily), but it's still a great option, especially if you have some data scientists on the team who understand MMM.
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Is Hierarchical Bayesian Modelling used in industry?
LightweightMMM - python package
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Two More Years
Interestingly, Google did introduce an MMM framework: LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information. https://github.com/google/lightweight_mmm
GeoexperimentsResearch
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Is Hierarchical Bayesian Modelling used in industry?
Time Based Regression - paper, R library
What are some alternatives?
Robyn - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
trimmed_match - This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
mta - Multi-Touch Attribution
matched_markets - Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
statsmodels - Statsmodels: statistical modeling and econometrics in Python