Geographic Experiment design and Evaluation Tool designed to help you determine the true lift of marketing efforts.
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Jul 1, 2026 - Python
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incrementality
Here are 24 public repositories matching this topic...
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
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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
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Dec 29, 2025 - Python
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
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Jun 24, 2026 - Python
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
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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
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Feb 16, 2026 - 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
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Sep 9, 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
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Sep 7, 2026 - Python
Privacy-preserving contextual bandit that optimizes for causal uplift while learning only from differentially-private aggregates — a runnable simulation of causal marketing under the Google Privacy Sandbox, with a real Shared Storage / Private Aggregation browser demo.
python reinforcement-learning simulation numpy thompson-sampling bayesian-inference causal-inference multi-armed-bandit differential-privacy contextual-bandits uplift-modeling marketing-analytics growth-engineering federated-learning shared-storage martech incrementality privacy-sandbox private-aggregation
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Aug 8, 2026 - Python
Geo-based incrementality testing framework with synthetic control, DiD analysis, and power analysis for measuring true causal marketing lift
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Feb 1, 2026 - Python
Reference implementation of marketing mix modelling, incrementality testing and budget optimisation, validated against known synthetic ground truth.
python data-science econometrics causal-inference mmm marketing-mix-modeling streamlit budget-optimization incrementality
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Jul 29, 2026 - Python
Paid-media measurement playbook: geo lift, MTA, incrementality, MMM, web attribution. Synthetic data, reproducible.
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Jun 1, 2026 - Python
Audited geo-experimentation and causal measurement benchmark with Meridian GeoX, GeoLift, econometric baselines, reliability analysis, and post-audit operational studies.
econometrics meridian causal-inference marketing-science synthetic-control experiment-design difference-in-differences incrementality geo-experiments geolift
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Sep 10, 2026 - Python
Bayesian marketing mix modeling, multi-touch attribution, and causal inference toolkit for unified marketing measurement and incrementality analysis.
python mta econometrics markov-chains causal-inference bayesian-statistics mmm marketing-analytics marketing-mix-modeling shapley-values multi-touch-attribution incrementality
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May 9, 2026 - Python
A/B testing meets causal inference on 687k retail customers. Tests whether the arms are actually comparable, corrects the 18% of measured effect that was selection bias, and shows uplift targeting beating response modelling by 67%.
python data-science statistics experimentation ab-testing hypothesis-testing causal-inference treatment-effects uplift-modeling marketing-analytics customer-analytics propensity-score heterogeneous-treatment-effects streamlit incrementality doubly-robust meta-learners retail-analytics causal-ml
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Aug 25, 2026 - Python
Causal analysis case study measuring true incremental conversions across paid media audiences using propensity score matching.
python bigquery sql data-analysis causal-inference marketing-analytics paid-media incrementality propensity-score-matching
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May 7, 2026 - Python
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.
python bigquery portfolio pymc bayesian meridian mmm marketing-analytics marketing-mix-modeling media-mix-modeling incrementality ga4
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Sep 16, 2026 - Python
Benchmarking geo-lift estimators for ad incrementality: TBR, synthetic control, and TWFE DiD under simulated geo-panel experiments
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Jul 17, 2026 - Python
Synthetic randomized campaign analysis with CUPED and full cost reconciliation; a pre-specified rule returns Redesign when profit uncertainty crosses zero.
python statistics experimentation ab-testing causal-inference marketing-analytics cuped incrementality unit-economics
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Aug 16, 2026 - Python
A repeatable decision framework for evaluating coupon-driven first-purchase experiments
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Aug 13, 2026 - Python
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