Google Meridian vs HockeyStack
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.
Zero of fourteen models named Google Meridian first on the direct prompt; one named HockeyStack. Google Meridian was named by fourteen of the fourteen models and HockeyStack by eleven and Google Meridian carries 36 labels and HockeyStack 30, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in one category this edition.
Named in five categories 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
Google MeridianFirst choices, of fourteen modelsHockeyStack
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 | | |
Google Meridian HockeyStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meridian on the left and HockeyStack on the right.The direct prompt
HockeyStack first, Google Meridian not the choice
1 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
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Google Meridian8%#4 of 19HockeyStack2%#10 of 19Google Meridian8%#4 of 22HockeyStack2%#8 of 22HockeyStack7%#5 of 16Google Meridian0%#12 of 16What 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
What the models said about HockeyStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Best Overall for Mid-Market B2B” Kimi K2 · direct prompt · first choice
“Prioritize account-level attribution with Salesforce/HubSpot native integration (Dreamdata, HockeyStack, or Adobe Marketo Measure)” Kimi K2 · scale 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.