For marketing and growth leaders, Recast is a media mix modeling platform that runs Bayesian models and GeoLift incrementality tests to show which channels actually drive revenue, refreshed weekly instead of quarterly.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Recast positions itself as planning and analysis infrastructure for marketing teams managing large budgets, built around a proprietary Bayesian media mix model refreshed weekly rather than the quarterly cadence typical of the category, paired with GeoLift for incrementality testing. The company emphasizes methodological depth over generalist tooling, pointing to a statistics- and math-heavy team and production models run at scale across its customer base. Public conversation about the brand is early and not yet broad, consistent with a vendor whose buyers are large in-house marketing and analytics teams rather than a wide practitioner audience.
Influ2
Factors.ai
GRIN
Haus
LifesightSquare, Canva, Cash App, Hasbro, Rocket Money, Harry's, Pods, LA Times, Currax
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Business Profile
Recast was founded in 2018 by Michael Kaminsky and Thomas Vladeck to build a Bayesian marketing-mix-modeling platform as an alternative to quarterly agency MMM studies. It raised a $3.4M seed round led by Lerer Hippeau in 2022, bringing total funding to $4.5M, and has grown to roughly 84 employees. The company has since expanded from core MMM into GeoLift incrementality testing and budget-optimization tooling, positioning itself around weekly model refreshes and a statistics- and engineering-heavy team serving enterprise and DTC marketing organizations.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Recast lists API access and MCP integration among its platform capabilities on its own site, alongside an open-source library of report templates. Beyond that homepage mention, no dedicated API or MCP documentation is on file yet, so the extent of the agent-facing surface is not yet visible.
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