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Brief

Recast

Marketing Measurement & Attribution

Recast delivers continuous, Bayesian marketing mix modeling that gives brands accurate, privacy-safe measurement of advertising ROI without cookies or user-level tracking. It democratizes MMM by making it faster, more affordable, and self-serve compared to legacy approaches.

Founded: 2020HQ: Minneapolis, Minnesota, United States

Last updated Jun 26, 2026 by ATDb automated enrichment

At a glance

Employees
11-50

About

Emerging challenger in the MMM space, positioned as a modern, always-on alternative to traditional econometric modeling consultancies

Recast is a modern marketing mix modeling (MMM) company that provides brands and agencies with a privacy-safe, statistically rigorous approach to measuring advertising effectiveness. Built on a Bayesian statistical framework, Recast's platform models the relationship between marketing spend and business outcomes across channels, enabling marketers to understand true incrementality and optimize budget allocation without relying on cookies, pixels, or user-level data. Founded in 2020, Recast has positioned itself at the forefront of the post-cookie measurement movement, offering a SaaS-based MMM solution that is more accessible and faster to deploy than traditional econometric modeling approaches. The platform is designed to be used continuously rather than as a periodic consulting engagement, giving marketing teams ongoing visibility into channel performance and spend efficiency. This 'always-on' approach differentiates Recast from legacy MMM vendors who typically deliver infrequent, expensive consulting reports. Recast serves direct-to-consumer brands, e-commerce companies, and growth-stage businesses that need reliable attribution in an increasingly privacy-constrained environment. As signal loss from iOS changes, cookie deprecation, and GDPR/CCPA compliance has eroded the reliability of last-click and multi-touch attribution, Recast has gained traction as a credible alternative. The company competes in the growing MMM renaissance alongside players like Meridian (Google), Robyn (Meta), Northbeam, and Analytic Edge.

Business model

SaaS

Target market

Mid-Market

What they offer

  • Recast MMM Platform

    A Bayesian marketing mix modeling SaaS platform that continuously models the relationship between marketing spend and business outcomes across all channels

  • Budget Optimizer

    A scenario planning and budget allocation tool that uses model outputs to recommend optimal spend distribution across channels

  • Channel Incrementality Reporting

    Ongoing reporting on the incremental contribution of each marketing channel to revenue and conversions

Key features

Bayesian statistical modeling frameworkAlways-on continuous measurement (not periodic reports)Privacy-safe — no cookies or user-level data requiredMulti-channel spend and outcome modelingBudget scenario planning and optimizationUncertainty quantification in model outputsFast deployment relative to traditional MMMSelf-serve SaaS interface for marketing teams

Use cases

Measuring true incrementality of paid social, search, and TV spendBudget allocation and reallocation across marketing channelsReplacing or supplementing last-click attribution in a cookieless environmentEvaluating the impact of brand vs. performance marketingScenario planning for media investment decisions

Customer segments

Direct-to-consumer (DTC) brandsE-commerce companiesGrowth-stage startups with significant media spendPerformance marketing teamsAgencies managing multi-channel media budgets

Tech & specs

Technology stack

Bayesian statistical modeling (Stan/PyMC likely)PythonCloud-based SaaS infrastructureData connectors to ad platforms (Meta, Google, etc.)

Security & compliance

GDPRCCPA

Deployment

Cloud

API

Limited

Corporate history
  1. 2020 · Founded

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