A curated list of awesome marketing science resources including geo incrementality testing, media mix models, multi-touch attribution, causal inference, and more from shakostats.com . Star ⭐ the repo if it helps you, and feel free to contribute your own favorite resources

marketing advertising causality causal-inference mmm marketing-science marketing-analytics marketing-mix-modeling martech media-mix-modeling incrementality geo-testing geo-experiment marketinganalytics geotesting geo-incrementality marketing-machine-learning

• Updated May 6, 2026

Ask your WorkMagic marketing data anything — attribution, lift tests and budget plans in Claude, ChatGPT, Codex, Cursor, Copilot and Gemini.

ecommerce attribution mcp shopify mta cursor mmm codex claude marketing-analytics marketing-attribution media-mix-modeling multi-touch-attribution incrementality chatgpt mcp-server agent-skills claude-plugin gemini-cli-extension

• Updated Nov 10, 2026
• Python

The complete operating system for managing paid media accounts. Foundational SOPs and platform-specific playbooks (Meta, Google, TikTok, YouTube, Axon, Native/DSP).

ecommerce attribution youtube-ads google-ads performance-marketing paid-media tiktok-ads creative-strategy incrementality ad-operations meta-ads direct-response contribution-margin marketing-sop

• Updated May 5, 2026

A dynamic method for detecting faults in incremental and parallel builds.

gradle parallelism builds gnu-make faults incrementality

• Updated Jul 27, 2022
• OCaml

Simba — Bayesian Marketing Mix Modeling (MMM) platform. Media attribution, budget optimization, incrementality measurement, and scenario planning. Built on PyMC-Marketing. No-code, fully transparent, enterprise-ready.

pymc bayesian mmm marketing-science marketing-analytics marketing-mix-modeling budget-optimization incrementality attribution-modeling adstock media-planning media-mix-model media-attribution roi-measurement pymc-marketing

• Updated Oct 4, 2026
• Jupyter Notebook

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

awesome attribution awesome-list causal-inference mmm marketing-analytics marketing-mix-modeling incrementality geo-experiments marketing-measurement

• Updated Jun 9, 2026

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

marketing experimentation mmm incrementality syntethics geolift

• Updated Jul 1, 2026
• Python

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.

data-science statistics rct advertising experiments roi crt causal-inference marketing-science randomized-controlled-trials marketing-analytics roas incrementality iroas geo-rct

• Updated Sep 3, 2025
• Python

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

python makefile experimentation causal-inference synthetic-control event-study marketing-analytics difference-in-differences streamlit incrementality polars

• Updated Dec 29, 2025
• Python

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.

open-source postgres marketing ai analytics nextjs self-hosted thompson-sampling experimentation ab-testing measurement causal-inference claude marketing-analytics marketing-attribution marketing-mix-modeling growth-marketing fastapi incrementality ai-marketing

• Updated Sep 9, 2026
• Python

A curated list of attribution, measurement, and marketing analytics resources. Open-source libraries, commercial platforms, research papers, datasets, and the people thinking hard about which marketing dollar caused which revenue dollar.

awesome attribution awesome-list measurement mmm marketing-analytics marketing-attribution marketing-mix-modeling multi-touch-attribution incrementality marketing-attribution-tools

• Updated Apr 14, 2026

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

hive pyspark hypothesis-testing uplift-modeling marketing-analytics roi-analysis incrementality campaign-measurement

• Updated Jun 24, 2026
• Python

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

python attribution bayesian causal-inference marketing-analytics incrementality

• Updated Feb 1, 2026
• Python

Official agent skills for the Lifesight MCP — causal marketing measurement inside Claude and Claude Code. Claude Code plugin + Claude.ai bundle.

mcp mmm causal claude incrementality agent-skills claude-code marketing-measurement claude-skills lifesight

• Updated Jun 9, 2026
• Shell

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.

python statistics causal-inference dtc mmm marketing-analytics roas incrementality marketing-mix-model

• Updated Jun 1, 2026
• Python

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

marketing automation performance ai analytics skills feedback mcp growth secure budget campaigns codex claude incrementality ga4 chatgpt openclaw

• Updated Feb 16, 2026
• Python

Incremental profit of marketplace ads (TikTok Shop, Mercado Livre, Shopee, Amazon): go-dark holdout with DiD + jackknife in SQL (DuckDB), break-even ROAS per SKU, 34 automated checks and a self-validating HTML dashboard. Synthetic data.

sql data-analysis marketing-analytics duckdb incrementality tiktokshop retail-media amazon-ads

• Updated Oct 13, 2026
• HTML

Production-grade Bayesian Marketing Mix Modeling (MMM) & Causal Incrementality Copilot with Multi-Agent Orchestration and Human-in-the-Loop Governance.

python adtech multi-agent causal-inference mmm marketing-analytics marketing-mix-modeling martech incrementality budget-allocation ai-marketing roi-optimization bayesian-mmm

• Updated Oct 12, 2026
• Python

Open-source framework for estimating whether a brand is becoming more or less likely to be chosen.

python open-source mmm multi-touch-attribution incrementality brand-analytics ai-marketing marketing-measurement

• Updated Sep 7, 2026
• Python

Open-source agent skills for lifecycle and retention marketing. Retention-Architect diagnoses the leak; Lifecycle-Programs ships the fix: welcome, cart abandon, post-purchase, winback, replenishment, and loyalty programs. Holdout-first: no holdout, no lift claim.

customer-retention marketing-automation crm email-marketing iterable churn braze klaviyo incrementality agent-skills claude-code lifecycle-marketing claude-code-plugin claude-skills retention-marketing

• Updated Nov 1, 2026
• Python