Attribution and marketing mix modeling · September 2026 Edition
Google Meridian vs CaliberMind
Zero of twelve models named Google Meridian first on the direct prompt; one named CaliberMind. Google Meridian was named by eleven of the twelve models and CaliberMind by seven and Google Meridian carries 36 labels and CaliberMind 10, so the shares are not directly comparable.
By Google Search, United States, founded 1997. Named in one category this edition.
Named in one category this edition.
First-choice share3%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 22; printed, not drawn.
Labels3610A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google Meridian reading right to left. Rank and label count are printed, not drawn.Dreamdata was named alongside these two in eleven of the twelve direct answers. Dreamdata vs Google Meridian · Dreamdata vs CaliberMind · Google Analytics 4 vs Google Meridian
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Google MeridianFirst choices, of twelve modelsCaliberMind
Direct012 against Google Meridian
Paraphrase01
Comparative001 against Google Meridian
Budget-constrained201 against Google Meridian
Scale-constrained001 against Google Meridian
Negative004 against Google Meridian
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where Google Meridian and CaliberMind stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | |
Google Meridian CaliberMind first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meridian on the left and CaliberMind on the right.The direct prompt
The plain question, one answer per model, grouped by where Google Meridian and CaliberMind stood in it.
CaliberMind first, Google Meridian not the choice
1 of 12 modelsGoogle Meridian was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure
Neither was the first choice, one was named
2 of 12 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Dreamdata alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam
GPT-5.4 miniDreamdata alternatives: Adobe Marketo Measure, CaliberMind, MixModeler
Neither was named
9 of 12 modelsThe answer made no first choice from these two in this category.Perplexity SonarDreamdata alternatives: Factors.ai, HockeyStack
Grok 4.1 FastDreamdata alternatives: HockeyStack, Recast, RevSure
Mistral SmallDreamdata, Recast alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte
Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox
Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast
Kimi K2Dreamdata alternatives: Factors.ai, HockeyStack, Recast, Rockerbox
GLM 4.7 FlashXDreamdata, SegmentStream alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Google Meridian leads by four points.
Google Meridian4%#10 of 18CaliberMind0%#– of 18Mid-marketThe figures above
Level: the same share of first choices.
Google Meridian3%#7 of 22CaliberMind3%#8 of 22Enterprise
The order flips: CaliberMind leads at enterprise.
CaliberMind7%#– of 21Google Meridian0%#14 of 21What 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.
“free/open-source (GA4, Google Meridian: lacks B2B depth)” Grok 4.1 Fast · direct prompt · hard negative
“Meridian is statistical infrastructure, not a decision-making product. Requires a dedicated data science team to implement responsibly.” Kimi K2 · negative prompt · soft negative
“Google has tied internal sales KPIs to Meridian adoption \u2014 account teams are incentivized to push it” DeepSeek V4 Flash · negative prompt · soft negative
“Choose Meta Robyn or Google Meridian if you have basic R/Python skills and want high-end, enterprise-grade MMM completely free.” Gemini 3.5 Flash · budget prompt · first choice
“Use PyMC-Marketing or Google Meridian (both free)” DeepSeek V4 Flash · budget prompt · first choice
“open-source (Google Meridian, Meta Robyn — both free)... Meridian is a genuine modern option if you have Python/PyMC expertise” DeepSeek V4 Flash · scale prompt · alternative
What the models said about CaliberMind
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“CaliberMind is one of the very few platforms that natively unifies bottom-up Multi-Touch Attribution with top-down Marketing Mix Modeling.” Gemini 3.5 Flash · direct prompt · first choice
“CaliberMind doesn’t just show MTA and MMM side-by-side; they actively feed into each other.” Gemini 3.5 Flash · paraphrase prompt · first choice
“CaliberMind is best for mid-market and enterprise B2B teams with existing data engineering resources” Claude Haiku 4.5 · direct prompt · alternative
Also compared
Dreamdata vs Google MeridianDreamdata vs CaliberMindGoogle Analytics 4 vs Google MeridianGoogle Analytics 4 vs CaliberMindRecast vs Google MeridianRecast vs CaliberMindMeasured vs Google MeridianMeasured vs CaliberMindTriple Whale vs Google MeridianTriple Whale vs CaliberMindHockeyStack vs Google MeridianHockeyStack vs CaliberMindAll twenty-eight head-to-head pages and the full Attribution & MMM standing
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.