geo-experiments

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

Testing open source geo-experimentation tools for our readers

A curated, vendor-neutral list of tools, libraries, research, and resources for measuring marketing effectiveness — MMM, incrementality, causal inference, and attribution.

Causal geo-experiment measuring incremental campaign lift with Bayesian structural time series (CausalImpact)

Benchmarking geo-lift estimators for ad incrementality: TBR, synthetic control, and TWFE DiD under simulated geo-panel experiments

Audited geo-experimentation and causal measurement benchmark with Meridian GeoX, GeoLift, econometric baselines, reliability analysis, and post-audit operational studies.