Recast
Bottom line
Recast is a Web SaaS tool for Marketing Mix Modeling & Incremental Lift (Analytics & Attribution). Pricing: $2,000–$5,000/mo. Best suited to B2B SaaS. Preliminary ratings, not yet fact-checked: AI autonomy L3 (conditional automation); moat tier Proprietary moat. Data last checked Oct 3, 2026.
Modern Marketing Mix Modeling (MMM) platform providing daily Bayesian causal incrementality measurement for omnichannel advertisers.
Key facts
- Pricing
- $2,000–$5,000/mo
- Free plan
- No / not disclosed
- Delivery
- Web SaaS
- Audience
- B2B SaaS
- AI autonomy level
- L3 · Conditional automation
- Draft estimate, not yet fact-checked
- Moat tier
- Proprietary moat
- Draft estimate, not yet fact-checked
- Funding
- Venture-backed
- Headquarters
- United States
- Founded
- 2020
- Last verified
Core capabilities
- Cookieless causal incrementality measurement unaffected by Apple iOS privacy updates or ad blockers
- Daily model refreshes providing near-real-time budget reallocation advice rather than quarterly retrospective reports
- Budget Optimizer tool simulating predicted revenue outcomes under varying ad spend scenarios
- Deep support for offline and untrackable media channels including linear TV, podcasts, and digital out-of-home (DOOH)
Moat analysis
Proprietary Bayesian Markov Chain Monte Carlo (MCMC) statistical architecture that updates causal lift daily without tracking cookies or user-level identifiers.
Editorial review
Draft: this review, the ratings and the moat analysis on this page have not yet been fact-checked by an editor. Check the vendor's website before relying on them.
Background
Recast is purpose-built for direct-to-consumer (DTC) brands, omnichannel retail operators, and media directors managing upwards of $100k to $5M+ per month across mixed digital and offline channels. For modern marketers navigating the post-cookie landscape, reliance on platform-reported ROAS from Meta and Google has created severe capital misallocation, while legacy attribution tools fail to account for upper-funnel and offline marketing touchpoints.
How Recast works
At its core, Recast applies Bayesian Markov Chain Monte Carlo (MCMC) state-space modeling to quantify marketing incrementality. Completely eliminating reliance on third-party cookies, tracking pixels, or device IDs, Recast operates on aggregate time-series data—measuring channel-by-channel media spend against net revenue and conversion volume. Running daily on high-performance cloud GPUs, the platform calculates channel-specific ad-stock carryover effects and diminishing returns curves. Its integrated Budget Optimizer runs forward-looking Monte Carlo simulations to recommend optimal budget reallocations across 30+ media channels including podcasts, streaming TV, direct mail, and paid social.
However, Recast is not a plug-and-play pixel tool for early-stage merchants. Achieving statistical confidence requires at least 1 to 2 years of clean, granular historical spend and sales data alongside sustained media investment. If a brand frequently launches micro-budget test channels under $5,000 per month or suffers volatile supply chain disruptions that distort baseline revenue, the platform produces broad credible intervals that provide limited tactical guidance. Teams must possess sufficient statistical maturity to interpret probabilistic distributions rather than deterministic click counts.
Recast pricing
Pricing reflects its institutional positioning, starting around $2,500 to $5,000 per month for mid-market advertisers and scaling above $10,000 monthly for multi-brand or global retail enterprises. While contracts do not impose surprise per-click or user-seat penalties, organizations must budget for the internal data engineering time required to maintain clean daily spend pipelines.
How Recast works
Choose Recast over legacy consulting MMM providers (such as Nielsen or Analytic Partners) when you need agile, daily model updates rather than an expensive quarterly post-mortem delivered via static slide decks. Choose Recast over click-based multi-touch attribution (MTA) vendors when offline, broadcast, or upper-funnel media makes up a substantial portion of your spend, where click tracking fundamentally fails to capture true causal incrementality.