Run geo experiments to understand the business impact of your marketing
Compare Meta GeoLift and Google TMD algorithms with advanced statistical analysis to optimize your geo-experimentation strategy.
What are Geo-Based Experiments?
Geo-based experiments (also called geo-lift testing) measure the true incremental impact of marketing campaigns by comparing performance between geographically separated test and control regions. This approach eliminates the limitations of user-level tracking while providing statistically robust incrementality measurement.
Privacy-First
Measures impact without relying on user-level tracking, respecting privacy regulations.
Robust Measurement
Provides statistically significant results for true incremental lift, not just correlation.
Holistic View
Captures the total effect of a campaign, including online and offline conversions.
Choose Your Experiment Design
This platform supports two industry-leading methodologies for designing your geo-experiments. Select the one that best fits your needs.
Meta GeoLift
An open-source R package that uses synthetic control methods to find the best test/control match. Ideal for measuring incremental lift with robust statistical power analysis.
- Synthetic Control Method: Advanced algorithm for optimal test/control pairing.
- Power Analysis: Determine required test duration and budget for statistical significance.
- Causal Inference: Robust statistical methods to isolate true marketing impact.
Google Trimmed Match
A methodology that focuses on identifying and removing outlier geo-locations before pairing, reducing bias and improving match quality.
- Bias Reduction: Proactively removes outlier geos that could skew results.
- Paired Matching: Creates a more direct comparison between similar test and control geos.
- Transparent Process: Provides clear insights into which geos were trimmed and why.