Causal Lift Measurement
Measure incremental impact of marketing investments, not just correlation.
The purpose of advertising is simple: to cause more people to buy your product than otherwise would have.
Yet much of advertising measurement still relies on correlational approaches that cannot reliably distinguish cause from coincidence.
We help organizations measure advertising’s actual incremental impact using causal measurement approaches designed to support real business decisions.
Grounded in experimentation and causal methods
We specialize in randomized controlled trials (RCTs), particularly large-scale geographic experiments designed to measure business outcomes under real market conditions.
Our approaches to causal measurement, selected based on the requirements of the engagement, include:
Geographic randomized controlled trials (geo RCTs)
Matched market testing
Synthetic control methods (SCM)
Quasi-experimental causal inference
Observational causal modeling
Designed for real-world business decisions
Causal lift measurement helps organizations:
Quantify true incremental ROI
Validate media effectiveness across channels
Improve budget allocation decisions
Calibrate MMMs and forecasting models
Reduce dependence on platform attribution
Distinguish signal from noise in performance reporting
Independent, transparent measurement
We are independent measurement specialists. We do not sell media, operate ad platforms, buy or plan campaigns, or optimize toward our own inventory.
Our focus is producing credible evidence organizations can use with confidence.
Built for trustworthy measurement
We prioritize measurement approaches that are:
Transparent and explainable
Privacy-safe
Replicable and auditable
Consistent across media channels and vendors
Representative of real market conditions
Designed to measure business outcomes, not platform proxies
Suitable for planning and budget allocation decisions
Connected to broader measurement and planning
We design lift measurement programs that connect to MMM, performance reporting, benchmarks, forecasting, and broader decision support—turning experiments into an ongoing source of business intelligence.
Understand what your marketing is actually causing
Make better decisions with greater confidence.