Recast vs Lifesight vs Meta Robyn 2026: AI Marketing Mix Modeling Top 3 Compared
Recast (modern Bayesian MMM with daily refresh; $150K-500K/yr) vs Lifesight (MMM + MTA + geo-lift hybrid; $100K-500K/yr) vs Meta Robyn (open-source Bayesian MMM; free + engineering effort). Marketing ROI +25%, budget reallocation +40%, channel mix +15%.
Verdict:DTC/performance marketing (HelloFresh/Hims profile) wanting daily refresh Bayesian MMM → Recast. Mid-market multi-channel (TV + digital + OOH + retail media) wanting MMM + MTA + geo-lift + brand lift unified → Lifesight. Engineering effort available + privacy-safe MMM run in-house on open source → Meta Robyn (or Google Meridian).
Table of Contents
Recast & Lifesight Overview
Recast
$15M; 100+ customers including HelloFresh/Hims & Hers/Caraway/Notion; modern Bayesian MMM with daily refresh and causal inference; $150K-500K/yr.
Learn more about Recast →Lifesight
$20M; 200+ customers including HelloFresh/AB InBev/Loop; MMM + MTA hybrid + geo-lift + brand lift; Marketing Attribution Platform; $100K-500K/yr.
Learn more about Lifesight →Feature & Pricing Comparison
| Feature | Recast | Lifesight |
|---|---|---|
| Strengths | Modern Bayesian MMM; daily refresh; causal inference; best for DTC/performance | MMM + MTA + geo-lift + brand lift unified; best for mid-market multi-channel |
| Pricing | $150K-500K/yr (marketing-spend tiered) | $100K-500K/yr (modular) |
| Target size | Mid-market DTC (annual spend $10-100M) | Mid-market → enterprise multi-channel ($20-200M spend) |
| Customer references | HelloFresh / Hims & Hers / Caraway / Notion / Italic | HelloFresh / AB InBev / Loop / Sleep Country |
| Refresh cadence | Daily refresh (quarterly → daily, transparent) | Weekly refresh (MMM) + real-time (MTA) |
| Geo-lift test | Causal-inference geo holdouts built in; MMM prior validation | Geo-lift + brand lift + conversion lift unified |
| Privacy | First-party + aggregated; cookie-deprecation ready | MMM (privacy-safe) + MTA (cookie-dependent) coexist |
Our Verdict
Our Verdict
DTC/performance marketing (HelloFresh/Hims profile) wanting daily refresh Bayesian MMM → Recast. Mid-market multi-channel (TV + digital + OOH + retail media) wanting MMM + MTA + geo-lift + brand lift unified → Lifesight. Engineering effort available + privacy-safe MMM run in-house on open source → Meta Robyn (or Google Meridian).
Recommendations by Use Case
DTC daily MMM
HelloFresh/Hims references; daily refresh; causal inference; Bayesian
Multi-channel MMM + MTA hybrid
AB InBev references; MMM + MTA + geo-lift + brand lift unified
Open-source MMM in-house
Meta-published; Bayesian MMM; Ridge + Nevergrad; free + engineering ($100-300K)
Cookie-deprecation privacy-safe
First-party + aggregated; iOS ATT/GDPR ready
Enterprise CPG/retail
Modular scalability; TV + digital + retail media + OOH
Detailed Reviews
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