Dreamdata vs Google Meridian
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 Google Meridian. Both were named by all fourteen models and Dreamdata carries 39 labels and Google Meridian 36, so the shares are not directly comparable.
Named in six categories this edition.
By Google, Mountain View, California, United States, founded 1998. 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 modelsGoogle Meridian
Across every category in the November 2026 Edition, Dreamdata and Google Meridian were named in the same answer fifty times, of the 160 answers naming Dreamdata and the 107 naming Google Meridian. In those answers Google Meridian took the first choice four times and Dreamdata fourteen.
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 Google Meridian first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dreamdata on the left and Google Meridian on the right.The direct prompt
Dreamdata first, Google Meridian not the choice
7 of 14 modelsGoogle Meridian 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 19Google Meridian8%#4 of 19Dreamdata32%#1 of 22Google Meridian8%#4 of 22Dreamdata10%#3 of 16Google Meridian0%#12 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 Google Meridian
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Google Meridian (MMM): No managed platform experience, no optimization features, and no customer support” Claude Haiku 4.5 · negative prompt · hard negative
“require significant in-house data science expertise — not practical for most mid-sized teams” DeepSeek V4 Flash · paraphrase prompt · hard negative
“they require data-science/econometric capability, engineering, validation and ongoing maintenance; they are not plug-and-play SaaS products” Perplexity Sonar · negative prompt · soft negative
“If you have technical capabilities: Use Google Meridian or Meta Robyn. You get world-class Bayesian MMM for $0 in software costs.” Gemini 3.5 Flash · budget prompt · first choice
“the best overall approach is usually Google Meridian if you have someone who can work with data” Perplexity Sonar · budget prompt · first choice
“Google Meridian is a free, open-source Bayesian MMM framework from Google” Grok 4.20 · budget prompt · first choice
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.