Google Meridian vs Northbeam
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 Northbeam. Both were named by all fourteen models and Google Meridian carries 36 labels and Northbeam 31, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in one category this edition.
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
Google MeridianFirst choices, of fourteen modelsNorthbeam
Across every category in the November 2026 Edition, Google Meridian and Northbeam were named in the same answer forty-seven times, of the 107 answers naming Google Meridian and the 101 naming Northbeam. In those answers Northbeam took the first choice three times and Google Meridian 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 | | |
Google Meridian Northbeam first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meridian on the left and Northbeam on the right.The direct prompt
Northbeam 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 named
13 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 19Northbeam2%#12 of 19Google Meridian8%#4 of 22Northbeam5%#6 of 22Google Meridian0%#12 of 16Northbeam0%#14 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 Northbeam
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Criticized for 33% negative sentiment, especially regarding model transparency and accuracy in multi-touch attribution.” Mistral Small · negative prompt · hard negative
“DTC/e-commerce focused — wrong fit for B2B pipelines” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Traditional Enterprise Marketing Mix Modeling (MMM) platforms (like Northbeam or Rockerbox) typically cost thousands of dollars monthly.” Qwen 3.7 Flash · budget prompt · soft negative
“Look for unified MMM+MTA with strong privacy resilience (Rockerbox, SegmentStream, Northbeam)” Kimi K2 · scale prompt · first choice
“alternatives like Rockerbox or Northbeam are often recommended for lighter, more modern needs” Grok 4.20 · negative prompt · first choice
“I most often recommend starting with Northbeam or Rockerbox” MiniMax M2.5 · paraphrase 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.