Recast vs Meta Robyn
Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.
One of fourteen models named Recast first on the direct prompt; zero named Meta Robyn. Recast was named by twelve of the fourteen models and Meta Robyn by twelve and Recast carries 29 labels and Meta Robyn 30, so the shares are not directly comparable.
Named in one category this edition.
By Meta Platforms, Menlo Park, United States, founded 2004. Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the attribution and marketing mix modeling page.
By framing
RecastFirst choices, of fourteen modelsMeta Robyn
Across every category in the November 2026 Edition, Recast and Meta Robyn were named in the same answer forty-four times, of the 77 answers naming Recast and the 88 naming Meta Robyn. In those answers Meta Robyn took the first choice one time and Recast three.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | |
Recast Meta Robyn first choice named as an alternative argued againstblank: not namedEach cell is one answer, Recast on the left and Meta Robyn on the right.The direct prompt
Recast first, Meta Robyn not the choice
1 of 14 modelsMeta Robyn was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Meta Robyn3%#7 of 19Recast2%#9 of 19Recast7%#5 of 22Meta Robyn3%#7 of 22What the models said about Recast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid For Limited Budgets: Enterprise tools like Adobe Analytics, Measured, Recast, or Nielsen” Grok 4.20 · budget prompt · hard negative
“Pure MMM solutions—such as Recast, Measured... work exceptionally well for high-volume consumer brands. However, in B2B” Gemini 3.5 Flash · paraphrase prompt · soft negative
“enterprise attribution and MMM tools (like Measured, Recast, or Northbeam) typically start at $2,000 to $10,000+ per month” Gemini 3.5 Flash · budget prompt · soft negative
“For MMM capabilities specifically, Recast is a self-service MMM platform designed for marketers, built for mid-market digital teams” Claude Haiku 4.5 · direct prompt · first choice
“My Top Recommendation: Dreamdata (for Attribution) + Recast (for MMM)” Kimi K2 · paraphrase prompt · first choice
“Recast is highlighted as a top MMM platform for B2B teams” Mistral Small · paraphrase prompt · first choice
What the models said about Meta Robyn
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“require significant in-house data science expertise — not practical for most mid-sized teams” DeepSeek V4 Flash · paraphrase prompt · hard negative
“its attribution counterpart has a 27% negative rate, with users questioning its applicability for cross-channel attribution outside of Meta's ecosystem” Mistral Small · negative prompt · soft negative
“High rate of negative feedback in buyer analyses (e.g., 67% negative labels); requires data science skills” Grok 4.20 · negative prompt · soft negative
“If you have technical capabilities: Use Google Meridian or Meta Robyn.” Gemini 3.5 Flash · budget prompt · first choice
“start with GA4 + open-source Meridian/Robyn” Muse Glimmer 30B · budget prompt · first choice
“Use Google's Meridian or Meta's Robyn (open-source Bayesian MMM) integrated via a data warehouse.” Grok 4.20 · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.