google / 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.
☆60Updated last year
Related projects ⓘ
Alternatives and complementary repositories for trimmed_match
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆73Updated 11 months ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆183Updated 4 months ago
- ☆87Updated 6 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆126Updated 5 years ago
- Multi-Touch Attribution☆109Updated 2 years ago
- ☆86Updated 11 months ago
- Fit Sparse Synthetic Control Models in Python☆79Updated 7 months ago
- A package to compute a marketing mix model.☆70Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆114Updated 6 months ago
- ☆78Updated 3 months ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆57Updated 2 years ago
- A flexible python package for cost-aware uplift modelling.☆28Updated 2 months ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- Python port of CausalImpact R library☆277Updated 6 months ago
- Transparent, robust and trustworthy A/B experimentation for Shopping feeds.☆36Updated 8 months ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆147Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆353Updated 2 years ago
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆45Updated 10 months ago
- Cluster multilingual search terms captured from different time windows into semantically relevant topics.☆34Updated 3 months ago
- ☆36Updated 2 years ago
- ☆50Updated 6 years ago
- ☆49Updated 2 years ago
- Easily generate captivating product descriptions using product features and additional sources of information like customer reviews or us…☆36Updated this week
- ☆83Updated last year
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆73Updated last month
- Marketing attribution using Bayesian credible sets and regression methods☆15Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- Data-Driven Marketing Attribution☆29Updated 4 years ago
- A collection of resources for experimentation☆60Updated 2 years ago
- A Python package for Bayesian A/B Testing☆61Updated last year