Rockerbox 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.
Four of fourteen models named Rockerbox first on the direct prompt; zero named Google Meridian. Rockerbox was named by thirteen of the fourteen models and Google Meridian by fourteen and Rockerbox carries 28 labels and Google Meridian 36, so the shares are not directly comparable.
Named in one category 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
RockerboxFirst choices, of fourteen modelsGoogle Meridian
Across every category in the November 2026 Edition, Rockerbox and Google Meridian were named in the same answer thirty-seven times, of the 93 answers naming Rockerbox and the 107 naming Google Meridian. In those answers Google Meridian took the first choice one time and Rockerbox eight.
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 | | | | |
Rockerbox Google Meridian first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rockerbox on the left and Google Meridian on the right.The direct prompt
Rockerbox first, Google Meridian not the choice
4 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
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 19Rockerbox2%#13 of 19Rockerbox12%#2 of 22Google Meridian8%#4 of 22Rockerbox17%#2 of 16Google Meridian0%#12 of 16What the models said about Rockerbox
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“platforms (like Northbeam or Rockerbox) typically cost thousands of dollars monthly” Qwen 3.7 Flash · budget prompt · soft negative
“If e-commerce/omnichannel: Look for unified MMM+MTA with strong privacy resilience (Rockerbox, SegmentStream, Northbeam)” Kimi K2 · scale prompt · first choice
“The best marketing attribution and marketing mix modeling platform for a mid-market B2B company is Rockerbox” Llama 4 Maverick · direct prompt · first choice
“For a balance, consider Rockerbox (attribution + incrementality) combined with Robyn (MMM).” MiniMax M2.5 · budget 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.