Dreamdata 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.
Seven of fourteen models named Dreamdata first on the direct prompt; zero named Meta Robyn. Dreamdata was named by fourteen of the fourteen models and Meta Robyn by twelve and Dreamdata carries 39 labels and Meta Robyn 30, so the shares are not directly comparable.
Named in six categories 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
DreamdataFirst choices, of fourteen modelsMeta Robyn
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 | | | | |
Dreamdata Meta Robyn first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dreamdata on the left and Meta Robyn on the right.The direct prompt
Dreamdata first, Meta Robyn not the choice
7 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
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Dreamdata26%#1 of 19Meta Robyn3%#7 of 19Dreamdata32%#1 of 22Meta Robyn3%#7 of 22Dreamdata10%#3 of 16Meta Robyn0%#13 of 16What the models said about Dreamdata
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Dreamdata is especially appealing to mid-market and growth-stage B2B teams that want robust attribution without committing to a heavier enterprise program.” Claude Haiku 4.5 · direct prompt · first choice
“If B2B/SaaS: Prioritize account-level attribution with Salesforce/HubSpot native integration (Dreamdata, HockeyStack, or Adobe Marketo Measure)” Kimi K2 · scale prompt · first choice
“I recommend considering a combination of Dreamdata and Recast as your attribution and MMM (Marketing Mix Modeling) tools.” 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.