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Data clean rooms · November 2026 Edition

Amazon Marketing Cloud vs LiveRamp Clean Room

Zero of fourteen models named Amazon Marketing Cloud first on the direct prompt; zero named LiveRamp Clean Room. Amazon Marketing Cloud was named by fourteen of the fourteen models and LiveRamp Clean Room by thirteen and Amazon Marketing Cloud carries 36 labels and LiveRamp Clean Room 35, so the shares are not directly comparable.

Amazon Marketing Cloud

criticized challenger

By Amazon, Seattle, United States, founded 1994. Named in two categories this edition.

LiveRamp Clean Room

criticized challenger

By LiveRamp, San Francisco, United States, founded 2011. Named in one category this edition.

First-choice share17%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%31%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 11; printed, not drawn.
Labels3635A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amazon Marketing Cloud reading right to left. Rank and label count are printed, not drawn.Snowflake Data Clean Rooms was named alongside these two in thirteen of the fourteen direct answers. Snowflake Data Clean Rooms vs Amazon Marketing Cloud · Snowflake Data Clean Rooms vs LiveRamp Clean Room · Amazon Marketing Cloud vs Google Ads Data Hub

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Amazon Marketing CloudFirst choices, of fourteen modelsLiveRamp Clean Room
Direct001 against Amazon Marketing Cloud · 1 against LiveRamp Clean Room
Paraphrase022 against Amazon Marketing Cloud · 1 against LiveRamp Clean Room
Comparative01
Budget-constrained1105 against LiveRamp Clean Room
Scale-constrained001 against Amazon Marketing Cloud
Negative005 against Amazon Marketing Cloud · 4 against LiveRamp Clean Room
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.

Across every category in the November 2026 Edition, Amazon Marketing Cloud and LiveRamp Clean Room were named in the same answer forty-five times, of the 83 answers naming Amazon Marketing Cloud and the 101 naming LiveRamp Clean Room. In those answers LiveRamp Clean Room took the first choice three times and Amazon Marketing Cloud eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Amazon Marketing Cloud and LiveRamp Clean Room stood in it.
ModelDirectAMParaphraseAMComparativeAMBudget-constrainedAMScale-constrainedAMNegativeAM
Claude Haiku 4.5AMAM
GPT-5.4 mini
Gemini 3.5 FlashAMAMAM
Perplexity SonarAMAMAM
Grok 4.20AMAMAMAM
Mistral SmallAMAM
DeepSeek V4 FlashAMAMAMAMAMAM
Llama 4 MaverickAMAMAM
Qwen 3.7 FlashAM
Kimi K2AMAM
GLM 4.7 FlashXAM
MiniMax M2.5AM
GPT-6 LunaAMAM
Muse Glimmer 30BAM
AM Amazon Marketing Cloud LiveRamp Clean RoomAM first choiceAM named as an alternativeAM argued againstblank: not namedEach cell is one answer, Amazon Marketing Cloud on the left and LiveRamp Clean Room on the right.

The direct prompt

The plain question, one answer per model, grouped by where Amazon Marketing Cloud and LiveRamp Clean Room stood in it.

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Google Ads Data Hub
Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms, LiveRamp Clean Room
Grok 4.20Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Cloud BigQuery or Ads Data Hub, LiveRamp Clean Room
Mistral SmallSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, LiveRamp Clean Room
DeepSeek V4 FlashSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, LiveRamp Clean Room
Llama 4 MaverickGoogle Ads Data Hub alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
Kimi K2AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSum

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSnowflake Data Clean Rooms alternatives: AWS Clean Rooms
Gemini 3.5 FlashDatabricks Clean Rooms, Snowflake Data Clean Rooms alternatives: Google BigQuery Data Clean Rooms, Habu, InfoSum
Qwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions alternatives: Salesforce Identity Resolution
GLM 4.7 FlashXCrossbeam alternatives: Google Ads Data Hub, Snowflake Data Clean Rooms
MiniMax M2.5LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Safe Haven

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
Amazon Marketing Cloud leads by five points.
Amazon Marketing Cloud8%#4 of 13
LiveRamp Clean Room3%#8 of 13
The full small business standing →
Mid-marketThe figures above
Amazon Marketing Cloud leads by fourteen points.
Amazon Marketing Cloud17%#2 of 11
LiveRamp Clean Room3%#8 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Amazon Marketing Cloud0%#10 of 11
LiveRamp Clean Room0%#7 of 11
The full enterprise standing →

What the models said about Amazon Marketing Cloud

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

What the models said about LiveRamp Clean Room

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid Standalone SaaS Clean Rooms Initially... the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI.” Gemini 3.5 Flash · budget prompt · hard negative
“What to Avoid - LiveRamp / Snowflake Data Clean Rooms: These are powerful but enterprise-grade in pricing and complexity.” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Why Avoid Traditional Vendors Right Now? ... these are likely out of budget for a limited-fund operation.” Qwen 3.7 Flash · budget prompt · hard negative
“LiveRamp and OneTrust are the top recommendations due to their strong privacy safeguards, scalability, and industry adoption” Mistral Small · paraphrase prompt · first choice
“Top Recommendation: LiveRamp ... It is the industry standard for identity resolution and secure data exchange.” Qwen 3.7 Flash · paraphrase prompt · first choice
“For broad collaboration across ecosystems: LiveRamp or InfoSum.” Grok 4.20 · comparative prompt · first choice
Also compared

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.