10 Best Geo Lift Testing Tools for Founders [2026 Updated]

1. GeoLift (Meta)

• Type: Free
• URL: https://facebookincubator.github.io/GeoLift/
• Overview: GeoLift is an open-source R package from Meta Marketing Science for designing and analyzing geo-based incrementality experiments. It uses augmented synthetic control to help marketers run power analyses, select test markets, and measure causal lift.

2. Google Meridian

• Type: Free
• URL: https://developers.google.com/meridian
• Overview: Meridian is Google's open-source marketing mix modeling framework that can be calibrated with geo experiment results. It supports geo-level Bayesian modeling to help advertisers estimate incremental channel impact and ROI.

3. Haus

• Type: Paid
• URL: https://www.haus.io
• Overview: Haus is an incrementality platform that runs geo-based holdout experiments to measure the true causal impact of marketing channels. It offers test design, synthetic control analysis, and calibrated results for brands managing large media budgets.

4. Measured

• Type: Paid
• URL: https://www.measured.com
• Overview: Measured is an incrementality measurement platform that uses geo-based and audience holdout experiments to quantify channel contribution. It combines test results with modeling to help marketers optimize budgets across paid media.

5. Recast

• Type: Paid
• URL: https://getrecast.com
• Overview: Recast is a media mix modeling platform that integrates geo-lift experiment results to calibrate its Bayesian models. It helps marketing teams plan budgets and validate channel performance with incrementality evidence.

6. INCRMNTAL

• Type: Paid
• URL: https://www.incrmntal.com
• Overview: INCRMNTAL is a causal measurement platform that uses always-on experimentation to determine the incremental value of marketing spend. It supports geo-based and holdout methodologies, particularly for mobile app and performance marketers.

7. Lifesight

• Type: Paid
• URL: https://lifesight.io
• Overview: Lifesight is a unified marketing measurement platform that combines marketing mix modeling, attribution, and incrementality testing. Its geo-lift experiments let brands validate channel impact and calibrate their models.

8. Mutinex

• Type: Paid
• URL: https://www.mutinex.co
• Overview: Mutinex is a marketing effectiveness platform centered on marketing mix modeling with support for incrementality and geo experiment calibration. It gives enterprise marketers scenario planning and budget optimization tools.

9. Rockerbox

• Type: Paid
• URL: https://www.rockerbox.com
• Overview: Rockerbox is a marketing measurement platform that unifies multi-touch attribution, media mix modeling, and incrementality testing. It enables geo-based experiments to verify channel contribution and refine budget allocation.

10. CausalImpact

• Type: Free
• URL: https://google.github.io/CausalImpact/CausalImpact.html
• Overview: CausalImpact is an open-source R package from Google that uses Bayesian structural time-series models to estimate the effect of an intervention. Marketers commonly use it to analyze geo-split campaign tests by comparing treated regions against control markets.