This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
☆72Jun 1, 2023Updated 3 years ago
Alternatives and similar repositories for trimmed_match
Users that are interested in trimmed_match are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆142Oct 3, 2019Updated 6 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,052Jun 17, 2025Updated last year
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆261Jun 30, 2026Updated last month
- Transparent, robust and trustworthy A/B experimentation for Shopping feeds.☆63Aug 21, 2025Updated 11 months ago
- Causal Impact of an intervention integrated with control group selection☆10Sep 11, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Easily generate and translate captivating product descriptions using product features and additional sources of information like customer…☆56Jun 23, 2026Updated last month
- Code to statistically up-weight conversion values of consenting customers to feed up to 100% of the factual conversion values back into G…☆27Jan 12, 2026Updated 7 months ago
- ☆165Jul 8, 2026Updated last month
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆404May 28, 2022Updated 4 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Feb 3, 2021Updated 5 years ago
- This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attrib…☆28Feb 22, 2018Updated 8 years ago
- Chris Chapman and Elea Feit's "R for Marketing Research and Analytics"☆12Sep 19, 2017Updated 8 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…☆61Feb 12, 2026Updated 6 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,224Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multi-Touch Attribution☆129Jun 18, 2026Updated last month
- ☆22Jul 21, 2023Updated 3 years ago
- ☆16Jan 24, 2026Updated 6 months ago
- Utility functions to support analytics over FHIR in BigQuery or Apache Spark☆15Jan 8, 2024Updated 2 years ago
- Product Video Ads is a solution to build video Ads at scale.☆72Apr 17, 2026Updated 3 months ago
- Performant, composable online learning☆16Feb 22, 2021Updated 5 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- ☆14Nov 17, 2021Updated 4 years ago
- A cutting-edge AI dubbing solution designed to enhance the global reach of digital advertising.☆67Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆675Jan 13, 2025Updated last year
- ☆13Feb 18, 2025Updated last year
- ☆68Jul 1, 2026Updated last month
- A Marketing Mix Modelling project for an E-Commerce company☆14Oct 3, 2025Updated 10 months ago
- ☆12Apr 10, 2018Updated 8 years ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆167May 3, 2023Updated 3 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆28Feb 21, 2022Updated 4 years ago
- ☆92Jun 24, 2023Updated 3 years ago
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆108Apr 8, 2026Updated 4 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Fit Sparse Synthetic Control Models in Python☆90Mar 26, 2024Updated 2 years ago
- ☆17Updated this week
- Because you're computing conversion rates wrong☆16May 23, 2017Updated 9 years ago
- From the medium article about Customer Retention☆11Nov 20, 2019Updated 6 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆59May 17, 2025Updated last year
- A simple Marketing Mix Modeling library for Python☆30Aug 2, 2022Updated 4 years ago
- Web Analytics for Hackers☆14Jun 17, 2016Updated 10 years ago