The world’s most rigorous incrementality platform.
Plan, experiment, validate, and optimize marketing performance in a unified platform. Powered by Recast’s best-in-class Causal MMM and Recast GeoLift.












$4B+
Fortune 50 businesses, pharmaceutical companies, and household CPG brands use Recast to plan, forecast, and optimize more than $4B in annual marketing spend.
You can’t make decisions with a fragile, outdated MMM that’s impossible to verify.

Recast is fast, accurate, and stable incrementality measurement relied on by the world’s most complex businesses.
Recast’s model-building process produces highly performant media mix models that are fast, accurate and stable.
Results are validated in-platform with weekly model performance scorecards. Lift test results can be used to validate model results and calibrate future runs.
How is Recast different?
There’s a lot of noise in marketing measurement, but not about the things that matter: statistical rigor, MMM quality, validation tools and vendor transparency. We’ve changed that.
Intense focus on accuracy.
Recast’s model building process, seamless lift test calibration, and in-platform validation tools ensure every model is held to an unparalleled performance standard before and after delivery.
Radical transparency.
Recast is a glass box. Model documentation is openly published and model performance transparency is emphasized throughout model building and ongoing platform use.
Obsession with model quality.
More than 20% of Recast holds a PhD in math or statistics. Their proprietary research continues to improve the underlying Causal MMM and GeoLift products that power Recast.

Novel Research in Media Mix Modeling:
The Recast team continues to advance the field of MMM with novel approaches to complex modeling challenges. Select developments include →
Time-varying ROIs
Recast developed a novel model specification that allows marketing performance to dynamically change over time and incorporate seasonality on a per-channel basis.
Promotional events
Recast improves modeling of “spikes” (promotions, events, etc.). In addition to modeling the day of impact of a spike, Recast also estimates the pull forward and pull backwards effects of these promotions.
Upper & lower funnel interaction
Recast developed a novel method of accounting for the relationship between upper funnel channels (ex. television) and lower-funnel channels (ex. branded search).
Multi-stage modeling
Recast recently released the ability for brands to build multi-stage MMMs. This methodology is entirely novel and combines Recast’s best-in-class marketing mix model with a kaplan-meier style survival model that helps companies understand the down-funnel impact of their marketing when their product has a multi-stage conversion funnel.