Model deployment comparison
Compare two model deployments across channel returns, contribution, and baseline in an interactive deck.
More ways to work with your Recast model.
Explore reports, dashboards, and reusable skills. Preview an example, then build it with your own data through the Recast API or MCP.
Compare two model deployments across channel returns, contribution, and baseline in an interactive deck.
Use Claude and Recast MCP to rank lift-test opportunities by spend and relative ROI uncertainty.
Trace branded search and retargeting demand back to baseline demand and the paid channels that drive it.
Build a dashboard in your own brand with Recast’s channel insights, response curves, and model diagnostics.
10 reports & skills
API bundles include Python code and an agent skill. MCP skills run in Claude connected to Recast.
See where the next dollar of spend has the highest modeled return, with weekly and monthly trends.
Compare platform-reported returns with Recast’s incrementality estimates to understand channel performance.
Prioritize lift tests by comparing channel spend with uncertainty in modeled contribution.
Explore response curves to see where channels have room to scale and where returns are flattening.
Compare channel spend, incremental revenue, and ROI across two periods for your next performance review.
Break revenue into baseline demand and each channel’s incremental contribution.
Build a dashboard in your own brand with Recast’s channel insights, response curves, and model diagnostics.

Use Claude and Recast MCP to rank lift-test opportunities by spend and relative ROI uncertainty.

Trace branded search and retargeting demand back to baseline demand and the paid channels that drive it.
Compare two model deployments across channel returns, contribution, and baseline in an interactive deck.
Try a broader search or another use case.
These examples use Recast’s marketing measurement models.
Explore what Recast can bring to your team.