Attribution and marketing mix modeling · October 2026 Edition
Google Meridian vs Cometly
Zero of fourteen models named Google Meridian first on the direct prompt; zero named Cometly. Google Meridian was named by thirteen of the fourteen models and Cometly by eight and Google Meridian carries 34 labels and Cometly 15, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in one category this edition.
Named in six categories this edition.
First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 17; printed, not drawn.
Labels3415A 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 fourteen of the fourteen direct answers. Dreamdata vs Google Meridian · Dreamdata vs Cometly · Google Analytics 4 vs Google Meridian
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Google MeridianFirst choices, of fourteen modelsCometly
Direct001 against Google Meridian
Paraphrase00
Comparative11
Budget-constrained311 against Google Meridian
Scale-constrained001 against Google Meridian
Negative101 against Google Meridian · 1 against Cometly
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Google Meridian and Cometly 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 | ||||||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | |
Google Meridian Cometly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meridian on the left and Cometly on the right.The direct prompt
The plain question, one answer per model, grouped by where Google Meridian and Cometly stood in it.
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.GLM 4.7 FlashXDreamdata alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics
Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Dreamdata, HockeyStack alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream
GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Grok 4.1 FastDreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Llama 4 MaverickRockerbox alternatives: Attribution, Dreamdata, Northbeam
Qwen 3.7 FlashRockerbox alternatives: Dreamdata
Kimi K2Dreamdata alternatives: Factors.ai, Recast, Rockerbox
MiniMax M2.5HockeyStack, Marketing Evolution alternatives: Adobe Marketo Measure, Dreamdata
GPT-6 LunaHockeyStack alternatives: Dreamdata, Paramark
Muse Glimmer 30BDreamdata alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox
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
Cometly leads by two points.
Cometly5%#7 of 17Google Meridian3%#8 of 17Mid-marketThe figures above
The order flips: Google Meridian leads at mid-market.
Google Meridian5%#4 of 17Cometly2%#8 of 17Enterprise
Level: the same share of first choices.
Google Meridian2%#15 of 17Cometly2%#– of 17What 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 libraries like Google Meridian or Meta Robyn require dedicated data scientists... a SaaS platform with a managed service component is almost always the right choice” Gemini 3.5 Flash · scale prompt · soft negative
“Mid-market companies rarely have full-time data scientists to manage open-source MMM code (like Google Meridian or Meta Robyn)” Gemini 3.5 Flash · direct prompt · soft negative
“Google Meridian if you lack data or modeling support. Meridian is open source, not a turnkey measurement service.” GPT-6 Luna · negative prompt · soft negative
“open-source MMM tools like Meta's Robyn or Google's Meridian are increasingly attractive due to their transparency and cost-effectiveness” Mistral Small · negative prompt · first choice
“Open-source Bayesian MMM, native Google Ads integration... Successor to LightweightMMM; free, transparent code” GLM 4.7 FlashX · comparative prompt · first choice
“Google's Meridian is a Bayesian MMM framework released openly for anyone to use—no licensing fees.” Grok 4.1 Fast · budget prompt · first choice
What the models said about Cometly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Cometly is built for digital-only marketers; if more than 20% of your spend is in offline channels, it doesn't support those natively” Claude Haiku 4.5 · negative prompt · soft negative
“Cometly (Best for Cost-Effective Multi-Channel Optimization) ... Choose this if you want actionable, daily insights to optimize ad spend without a massive price tag.” Qwen 3.7 Flash · budget prompt · first choice
“Cometly - a self-service attribution platform that combines real-time multi-touch attribution with MMM-style aggregated modeling.” Llama 4 Maverick · comparative prompt · first choice
“Choose Cometly if you’re a performance‑marketing team with high ad spend and need server‑side accuracy.” GLM 4.7 FlashX · direct prompt · alternative
Also compared
Dreamdata vs Google MeridianDreamdata vs CometlyGoogle Analytics 4 vs Google MeridianGoogle Analytics 4 vs CometlyRockerbox vs Google MeridianRockerbox vs CometlyGoogle Meridian vs HockeyStackGoogle Meridian vs MeasuredGoogle Meridian vs RecastHockeyStack vs CometlyMeasured vs CometlyRecast vs CometlyAll 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.