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
More Comparisons
Squibler vs NolanAI
A 6-point comparison of AI screenplay tools Squibler and NolanAI, covering script generation, industry-standard formatting, structure support, collaboration, and pricing, plus how Sudowrite differs.
NovelAI vs Sudowrite
A detailed 6-point comparison of NovelAI and Sudowrite, the go-to AI novel-writing tools. We break down pricing, prose style, long-form support, and the editing environment, and explain where the third option, Novelcrafter, fits.
InVideo AI vs Pictory
Compare InVideo AI and Pictory for AI photo slideshow video creation across pricing, generation method, assets, music, and export quality. We also cover narration-focused Fliki to help you choose by use case.
Jenni AI vs QuillBot
Compare Jenni AI, QuillBot, and Grammarly for AI-assisted essay and academic writing. Evaluate price, text generation, paraphrasing, citations, plagiarism checking, and language support to find the best fit for papers and English writing.
AI Marketing Tools by Our Team
SaaS products developed and operated by the AIpedia team.