Recast offers an AI-powered marketing data measurement and analytics solution to help marketers measure and optimize their marketing spend. The firm uses Bayesian statistics and data pipelines to develop a Bayesian Marketing mix Model (Bayesian MMM) capable of providing real-time performance measurement in a privacy-preserving manner for social media, streaming TV, search, and podcasts. The firm provides a self-serve media optimization and forecasting platform for monitoring marketing spending and targets. The firm provides training for teams on the use of its platform, where firms can receive weekly updates to improve the accuracy of performance measurement. The firm also provides advisory services on marketing channel recommendations for maximizing data validity while minimizing risks. The firm's solutions are used by both firms and marketing agencies including Harry’s, Masterclass, Breeo, Away, and Rocket Money.
The firm claims its Bayesian MMM, which was built by a team of PhD data scientists, is more comprehensive than traditional MMMs and other models provided by other firms such as Robyn (Meta), Lightweight MMM (Google), and Orbit, where it provides dynamically updated ROIs, model seasonality, and Pull-Forward and Pull-Backward effects.
Funding and financials
In December 2022, Recast raised USD 3.4 million in seed funding, which was used to scale the software engineering and data science teams to accelerate its product development.
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