This repository provides open-source best practices for for conducting geographic randomized controlled trials (Geo RCTs) for measuring incremental sales effect of advertising cammpaigns. It includes details on one design type in particular, a multi-armed stepped experimental design that has particular advantages in terms of statistical strength.

Geographic Experiment design and Evaluation Tool designed to help you determine the true lift of marketing efforts.

End-to-end incrementality sandbox on M5-style retail data (DiD + Synthetic Control + placebo tests) with Streamlit dashboard.

PySpark + Hive pipeline measuring campaign incrementality, statistical significance, and ROI on 13M+ user incrementality-test records (Criteo dataset).

Lightweight, transparent marketing mix models for DTC brands. Estimate per-channel causal lift from spend + sales data — with honest diagnostics about when not to trust the result.

Open-source AI marketing measurement & incrementality testing platform. Track every AI creative from prompt to causal revenue lift — A/B experiments, SRM, sequential testing (mSPRT), MMM, Thompson sampling, RLS multi-tenancy. Self-hosted. Built with Claude Fable 5 ultracode.

AI Skill for consistent, reliable 12-hour optimization of marketing campaign budgets across OpenClaw, ChatGPT Codex, and Claude.

Bayesian marketing mix modeling, multi-touch attribution, and causal inference toolkit for unified marketing measurement and incrementality analysis.

Geo-based incrementality testing framework with synthetic control, DiD analysis, and power analysis for measuring true causal marketing lift

Marketing Mix Modeling with Google Meridian on GA4 data. Bayesian inference, full posterior distributions, PyMC-powered. Applied to real GA4 ecommerce data with step-by-step guide.

Causal inference platform for marketplace intervention evaluation — DiD, Synthetic Control, PSM, Instrumental Variables, and Event Study with incrementality simulation. Built for Staff-level analytics roles.

Causal analysis case study measuring true incremental conversions across paid media audiences using propensity score matching.

Paid-media measurement playbook: geo lift, MTA, incrementality, MMM, web attribution. Synthetic data, reproducible.