Zero of fourteen models named Amazon Marketing Cloud first on the direct prompt; one named Google Ads Data Hub. Both were named by all fourteen models and Amazon Marketing Cloud carries 36 labels and Google Ads Data Hub 43, so the shares are not directly comparable.
By Amazon, Seattle, United States, founded 1994. Named in two categories 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 data clean rooms page.
Across every category in the November 2026 Edition, Amazon Marketing Cloud and Google Ads Data Hub were named in the same answer seventy-two times, of the 83 answers naming Amazon Marketing Cloud and the 101 naming Google Ads Data Hub. In those answers Google Ads Data Hub took the first choice three times and Amazon Marketing Cloud two.
| Model | DirectAMGA | ParaphraseAMGA | ComparativeAMGA | Budget-constrainedAMGA | Scale-constrainedAMGA | NegativeAMGA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AMGA | GA | AMGA | |||
| GPT-5.4 mini | GA | |||||
| Gemini 3.5 Flash | AMGA | AMGA | AMGA | |||
| Perplexity Sonar | AMGA | AMGA | AMGA | |||
| Grok 4.20 | AM | AMGA | GA | AMGA | AMGA | |
| Mistral Small | AMGA | AMGA | ||||
| DeepSeek V4 Flash | AMGA | AMGA | AMGA | AMGA | AMGA | AMGA |
| Llama 4 Maverick | AMGA | AMGA | AMGA | |||
| Qwen 3.7 Flash | AMGA | |||||
| Kimi K2 | AMGA | AMGA | GA | |||
| GLM 4.7 FlashX | GA | AMGA | ||||
| MiniMax M2.5 | AMGA | |||||
| GPT-6 Luna | AMGA | AM | ||||
| Muse Glimmer 30B | GA | AMGA |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“not relevant for most B2B data collaboration use cases” DeepSeek V4 Flash · paraphrase prompt · hard negative
“What to approach with caution: Native clean rooms operated by major media platforms (e.g., Google Ads Data Hub, Amazon Marketing Cloud, Meta Advanced Analytics)” Gemini 3.5 Flash · negative prompt · soft negative
“Walled Garden Clean Rooms (Use with Caution) ... Vendor lock-in ... be aware you're trading data sovereignty for convenience” DeepSeek V4 Flash · negative prompt · soft negative
“Best all‑around for most advertisers: Google Ads Data Hub (if you're Google‑heavy) or Amazon Marketing Cloud (if you're Amazon‑heavy). Both are free and easy to set up.” GLM 4.7 FlashX · budget prompt · first choice
“likely to be a free walled-garden option such as Google Ads Data Hub, Amazon Marketing Cloud, or Meta Advanced Analytics” Llama 4 Maverick · budget prompt · first choice
“Start with Amazon Marketing Cloud (AMC) or Google Ads Data Hub depending on where your biggest ad spend lies.” Qwen 3.7 Flash · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Walled garden clean rooms (Google Ads Data Hub, Amazon Marketing Cloud): These are *B2C advertising-focused* and not relevant for most B2B data collaboration use cases.” DeepSeek V4 Flash · paraphrase prompt · hard negative
“What to approach with caution: Native clean rooms operated by major media platforms (e.g., Google Ads Data Hub, Amazon Marketing Cloud, Meta Advanced Analytics)” Gemini 3.5 Flash · negative prompt · soft negative
“regulatory scrutiny (e.g., ongoing antitrust and privacy probes in the EU/US) means potential changes or restrictions. Risks include ecosystem bias” Grok 4.20 · negative prompt · soft negative
“Best all‑around for most advertisers: Google Ads Data Hub (if you're Google‑heavy) or Amazon Marketing Cloud (if you're Amazon‑heavy). Both are free and easy to set up.” GLM 4.7 FlashX · budget prompt · first choice
“The free walled-garden options are the realistic start... Google Ads Data Hub provides clean room analysis for advertisers running campaigns on Google properties.” Muse Glimmer 30B · budget prompt · first choice
“the best data clean rooms are the free or low-cost "walled-garden" options from major platforms. These include: - Google Ads Data Hub” Mistral Small · 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.