Alternatives and similar repositories for lightweight_mmm

Users that are interested in lightweight_mmm are comparing it to the libraries listed below

• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆926Updated this week
• facebookexperimental / Robyn
  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…
  ☆1,335Updated last month
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆385Updated 3 years ago
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆206Updated last year
• google / matched_markets
  Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
  ☆93Updated this week
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆643Updated 7 months ago
• slavakx / medium_posts
  ☆88Updated 2 years ago
• DP6 / Marketing-Attribution-Models
  Python Class created to address problems regarding Digital Marketing Attribution.
  ☆335Updated 10 months ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆70Updated 2 years ago
• facebookincubator / LTVision
  LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …
  ☆93Updated 3 months ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆71Updated 2 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 years ago
• station-10 / awesome-marketing-machine-learning
  A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…
  ☆117Updated last year
• google / tfp-causalimpact
  ☆117Updated last year
• google / fractribution
  ☆56Updated 3 years ago
• google-marketing-solutions / fractional_uplift
  A flexible python package for cost-aware uplift modelling.
  ☆35Updated 11 months ago
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆84Updated 10 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,029Updated last week
• google-marketing-solutions / crystalvalue
  ☆97Updated 2 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆34Updated 4 years ago
• google-marketing-solutions / feedx
  Transparent, robust and trustworthy A/B experimentation for Shopping feeds.
  ☆49Updated this week
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• olivierzach / bayesian-marketing-attribution
  Marketing attribution using Bayesian credible sets and regression methods
  ☆15Updated 5 years ago
• DavisTrey / ExperimentationResources
  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
  ☆160Updated 2 years ago
• spotify / confidence
  ☆275Updated 9 months ago
• hammer-mt / VEX-MMM
  Open source marketing mix modeling code for vexpower.com
  ☆44Updated 4 years ago
• google-marketing-solutions / optimus
  ☆26Updated last month
• takechanman1228 / mmm_pydata_global_2022
  ☆27Updated 2 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆637Updated last month