ArturoEsquerra / GeoLift
GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.
☆10Updated 3 years ago
Alternatives and similar repositories for GeoLift:
Users that are interested in GeoLift are comparing it to the libraries listed below
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆136Updated 5 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆199Updated 9 months ago
- ☆134Updated last year
- R package for Customer Behavior Analysis☆189Updated last year
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆86Updated last month
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆49Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆376Updated 2 years ago
- Working repository for Causal Tree and extensions☆439Updated 2 weeks ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆68Updated last year
- ☆50Updated 6 years ago
- Python port of CausalImpact R library☆285Updated last year
- R-Package for estimating CLV☆56Updated last week
- ☆110Updated last year
- Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.☆21Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for Online Multi-Channel Attribution. Ho…☆24Updated last year
- Augmented Synthetic Control Method☆151Updated 2 months ago
- ☆97Updated 7 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- An R package for causal inference in time series☆1,739Updated last year
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆150Updated 2 years ago
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆314Updated 3 years ago
- Heterogeneous Treatment Effects☆16Updated 2 years ago
- Loading Google Adwords Data into R☆98Updated 3 years ago
- fixed BTYD, the R package for customer lifetime value☆21Updated 9 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆824Updated this week
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,277Updated this week
- Multi-Touch Attribution☆116Updated 3 years ago
- A tidy implementation of the synthetic control method in R☆103Updated last year
- Fit Sparse Synthetic Control Models in Python☆82Updated last year
- Power analysis and AB test analysis library☆35Updated last week