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Index › Products › LiveRamp Clean Rooms · October 2026 Edition
LiveRamp · 1 category · Named, not ranked

LiveRamp Clean Rooms

2Judge labels
0First choices
0Negative labels
2 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. LiveRamp Clean Rooms was named 1 time in Data clean rooms, where Snowflake Data Clean Rooms led with 19%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In data clean rooms · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named LiveRamp Clean Rooms for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Data clean roomsGTM data and infrastructure0%71 of 1000%1under 10 labels · led by Snowflake Data Clean Rooms at 19%

Movement

This is the first edition on this tier, so no move can be computed for LiveRamp Clean Rooms yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated LiveRamp Clean Rooms across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative2 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as LiveRamp Clean Rooms, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LiveRamp Clean Rooms was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Snowflake Data Clean Rooms2 of 21Not among the top eight
AWS Clean Rooms2 of 20Not among the top eight
Databricks Clean Rooms2 of 20Not among the top eight
Google Ads Data Hub2 of 20Not among the top eight
Amazon Marketing Cloud1 of 20Not among the top eight
Decentriq1 of 20Not among the top eight
Habu1 of 20Not among the top eight
InfoSum1 of 20Not among the top eight
Meta Advanced Analytics1 of 20Not among the top eight
Optable1 of 20Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named LiveRamp Clean Rooms. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 2 of the 2 answers that named LiveRamp Clean Rooms and are not a share of its labels.

Domains cited

aiopsschool.com2
aws.amazon.com2
docs.snowflake.com2
gartner.com2
liveramp.comYour site2
snowflake.com2
affroom.com1
app.snowflake.com1
ctacquisitions.com1
dataintelo.com1

Fourteen of the sixteen domain citations in answers naming LiveRamp Clean Rooms came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

liveramp.com ranks 4 on Google for the category's searches. In the answers, LiveRamp Clean Rooms takes 0% of first choices and Snowflake Data Clean Rooms takes 19%.
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In search

Google, US estimates
Position for “data clean room”
–
not in the top ten
Position for “best data clean room”
4
Its company's site
liveramp.com shared with LiveRamp's other products; the figures are the site's
Organic visits to its site
about 20,494 a month
Searches its site ranks for
2,014 · 287 in the top three
Sites linking to it
10,553
Paid Google search
1 searches its ads show for, about 42 clicks and $339 a month (estimate)
Ads on GoogleDetailLess
78 ads · 75 text, 3 video · 44 shown in the last 30 days

First shown June 2023, as LIVERAMP, INC., verified. Ads started 2025-10 to 2026-09: 17 in the year, 61 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 71 of 100 in data clean rooms
Segment leader
19%
Snowflake Data Clean Rooms
First choices
0 across its categories
Named in
2 answers
Its own site cited
in 2 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow LiveRamp Clean Rooms

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

LiveRamp is the company behind LiveRamp Clean Rooms.
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On record

Wikidata
Headquarters
San Francisco, United States
Founded
2011
Ownership
Public, RAMP on New York Stock Exchange

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LiveRamp Clean Rooms's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LiveRamp Clean Rooms, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for LiveRamp Clean Rooms by email, built from the raw record of the edition. It shows:

  • where LiveRamp Clean Rooms is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name LiveRamp Clean Rooms, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at liveramp.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.