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Index › Products › LiveRamp Clean Room · October 2026 Edition
LiveRamp · 1 category · Ranked

LiveRamp Clean Room

112Judge labels
6First choices
33Negative labels
14 / 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.
Best standing
9% in Data clean rooms for enterprise buyers
Rank 13 of 100 in the mid-market standingcriticized challenger
1 of 14 models made it the first choice on the direct prompt; 32% of its 37 labels there were negative.
What the models named instead of LiveRamp Clean Room →
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 Room 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 infrastructure2%13 of 10032%37criticized challenger

Movement

This is the first edition on this tier, so no move can be computed for LiveRamp Clean Room 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 Room 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 4.500101
GPT-5.4 mini01102
Gemini 3.5 Flash01034
Perplexity Sonar02002
Grok 4.1 Fast02136
Mistral Small01001
DeepSeek V4 Flash01135
Llama 4 Maverick00202
Qwen 3.7 Flash20103
Kimi K200033
GLM 4.7 FlashX10102
MiniMax M2.501102
GPT-6 Luna02002
Muse Glimmer 30B01102

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
Direct28 labels4
Paraphrase10 labels1
Comparative27 labels3not counted in share
Budget-constrained18 labels1
Scale-constrained15 labelsNone
Negative14 labels1not counted in share
First choiceAlternativeMentionNegative112 labels in all, every segment counted; 6 of the 10 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.

“Choose LiveRamp if you need to activate audiences across the entire internet ... using a single unified identity graph (RampID)” GLM 4.7 FlashX · Data clean rooms · comparative prompt · first choice
“Independent Clean Rooms like LiveRamp and Snowflake provide the necessary breadth and flexibility” Qwen 3.7 Flash · Data clean rooms · comparative prompt · first choice
“LiveRamp is usually the correct investment.” Qwen 3.7 Flash · Data clean rooms · direct prompt · first choice
“More purpose-built for identity, media, activation, and measuring campaigns against CRM or pipeline data—but validate the commercial terms” GPT-6 Luna · Data clean rooms · direct prompt · alternative

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.

“What to Avoid as a Mid-Market B2B - LiveRamp / Habu: Enterprise-grade, with the average enterprise setup running around $879K” DeepSeek V4 Flash · Data clean rooms · direct prompt · hard negative
“What to Avoid on a Limited Budget ... Enterprise-focused; no public pricing, typically six to seven figures annually” Kimi K2 · Data clean rooms · budget prompt · hard negative
“Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing.” Grok 4.1 Fast · Data clean rooms · budget prompt · hard negative
“Users report platform performance issues (freezes, slow loading) - Complex setup with steep learning curve and proprietary terminology” Kimi K2 · Data clean rooms · negative prompt · soft negative

Named alongside

The products named in the same answers as LiveRamp Clean Room, over the 112 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LiveRamp Clean Room was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Snowflake Data Clean Rooms95 of 11224Not among the top eight
AWS Clean Rooms77 of 11217Not among the top eight
InfoSum77 of 1127Not among the top eight
Decentriq59 of 1123Not among the top eight
Databricks Clean Rooms50 of 1121Not among the top eight
Google Ads Data Hub43 of 1128Not among the top eight
Amazon Marketing Cloud34 of 1128Not among the top eight
Habu29 of 1121Not among the top eight
Meta Advanced Analytics23 of 1120Not among the top eight
Optable13 of 1123Not 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 Room. 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 109 of the 112 answers that named LiveRamp Clean Room and are not a share of its labels.

Domains cited

decentriq.com72
guideflow.com59
liveramp.comYour site59
digitalapplied.com54
gartner.com40
us.fitgap.com40
aws.amazon.com36
data-axle.com34
funnel.io32
aiopsschool.com30

397 of the 456 domain citations in answers naming LiveRamp Clean Room 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 Room takes 2% 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
Searches for its name, Google
90 a month (“liveramp clean room”)
AI search demand for its name, est.
13 a month
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
2%
rank 13 of 100 in data clean rooms
Segment leader
19%
Snowflake Data Clean Rooms
First choices
6 across its categories
Named in
112 answers
Its own site cited
in 109 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.

Names read as LiveRamp Clean Room

What the judge wrote, as written, with how often. The vendor table decides that these count as LiveRamp Clean Room; a claim can dispute any of them.
LiveRamp 21LiveRamp (Habu) 3LiveRamp/Habu 2LiveRamp (Data Collaboration Platform) 1LiveRamp (incl. Habu acquisition) 1LiveRamp / Habu Clean Room 1LiveRamp Clean Room (formerly Habu) 1LiveRamp Clean Room (powered by Habu) 1LiveRamp Clean Room / Safe Haven-style offerings 1

Follow LiveRamp Clean Room

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 Room.
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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 Room'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 Room, 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 Room by email, built from the raw record of the edition. It shows:

  • where LiveRamp Clean Room 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 Room, 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.