Every category where a model named Salesforce Data Cloud 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Data management platforms	GTM data and infrastructure	2%	16 of 159	37%	19	criticized challenger	▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
Customer data platforms	GTM data and infrastructure	2%	7 of 61	38%	37	criticized challenger	▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Identity resolution	GTM data and infrastructure	0%	140 of 140	48%	23	criticized challenger	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Customer intelligence and data science	GTM data and infrastructure	0%	26 of 142	14%	7	under 10 labels · led by Amplitude at 18%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Audience and consumer insights platforms	Marketing	0%	49 of 155	0%	3	under 10 labels · led by SparkToro at 19%

Movement

Since September 2026, Salesforce Data Cloud held within the floor in all five categories: no change cleared 11 points.

Best category · DMP · by segment

Small business▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

2%from 0% in September 2026

Inside the floor by 9 pointsRank 203 → 16 of 161

Mid-market▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.

3%from 2% in September 2026

Inside the floor by 10 pointsRank 15 → 14 of 150

Enterprise▲+3Since September 2026: 20% → 23%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

23%from 20% in September 2026

Inside the floor by 8 pointsRank 1 of 137, unchanged

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
CDP	0%	2%	▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 18 → 7 of 61
DMP	2%	3%	▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 15 → 16 of 159
Identity	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 26 → 140 of 140
Customer intel	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 53 → 26 of 142
Audience insights	0%	0%	newNew since September 2026: not ranked then, 0% now.	New this edition	Rank 49 of 155, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Salesforce Data Cloud across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	2	3	0	5
GPT-5.4 mini	0	2	1	2	5
Gemini 3.5 Flash	0	2	1	7	10
Perplexity Sonar	0	2	2	0	4
Grok 4.1 Fast	0	2	3	4	9
Mistral Small	2	2	3	0	7
DeepSeek V4 Flash	0	3	2	7	12
Llama 4 Maverick	0	0	3	0	3
Qwen 3.7 Flash	0	1	0	6	7
Kimi K2	0	2	2	4	8
GLM 4.7 FlashX	0	5	2	1	8
MiniMax M2.5	0	1	1	1	3
GPT-6 Luna	0	3	0	0	3
Muse Glimmer 30B	0	3	1	1	5

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

Direct74 labels23

Paraphrase53 labels19

Comparative68 labels1not counted in share

Budget-constrained52 labels8

Scale-constrained37 labelsNone

Negative59 labelsNone

First choiceAlternativeMentionNegative343 labels in all, every segment counted; 50 of the 51 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.

“For most mid-market B2B companies, Salesforce Data Cloud or Segment by Twilio are the best choices” Mistral Small · DMP · direct prompt · first choice

“Adobe Real-Time CDP (B2B Edition) or Salesforce CDP are top choices” Mistral Small · CDP · paraphrase prompt · first choice

“It offers flexibility, but the quality of the result depends on data modeling and rule design; check processing cadence and consumption-based costs.” GPT-6 Luna · Identity · comparative prompt · alternative

“For mid-market B2B companies with $80K+ budgets and dedicated data resources, Salesforce Data Cloud integrates natively with Sales Cloud” Claude Haiku 4.5 · CDP · 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.

“You should avoid these if you do not have an enterprise budget or IT headcount ... premium price tag and high complexity” Qwen 3.7 Flash · CDP · negative prompt · hard negative

“Who to avoid (or pause with): Adobe Analytics, Salesforce Data Cloud, or legacy versions of Oracle.” Qwen 3.7 Flash · Customer intel · negative prompt · hard negative

“Avoid pure enterprise like Salesforce Data Cloud or mParticle unless you have bigger budgets/resources.” Grok 4.1 Fast · Identity · paraphrase prompt · hard negative

“these are enterprise tools starting at $100K+/year and are overkill for a limited budget” DeepSeek V4 Flash · Identity · budget prompt · hard negative

Named alongside

The products named in the same answers as Salesforce Data Cloud, over the 339 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Data Cloud was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Adobe Real-Time CDP188 of 3396Compare →

Segment146 of 33932Compare →

Tealium110 of 3394Not among the top eight

Hightouch88 of 33912Compare →

Treasure Data77 of 3393Not among the top eight

Amperity63 of 3393Not among the top eight

mParticle57 of 3390Not among the top eight

LiveRamp Identity Resolution56 of 33910Not among the top eight

Hightouch Adaptive Identity Resolution46 of 33911Not among the top eight

RudderStack45 of 3397Compare →

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 Salesforce Data Cloud. 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 320 of the 339 answers that named Salesforce Data Cloud and are not a share of its labels.

Domains cited

cdp.com158

g2.com120

improvado.io102

guideflow.com86

pipeline.zoominfo.com77

learn.g2.com73

hightouch.com70

resources.rework.com67

brevo.com65

gartner.com65

883 of the 883 domain citations in answers naming Salesforce Data Cloud came from somebody else's page.

Pages cited

cdp.com/basics/cdp-vendors115

improvado.io/blog/top-7-customer-data-platforms70

brevo.com/blog/best-customer-data-platform65

elogic.co/blog/best-customer-data-platforms49

learn.g2.com/best-customer-data-platforms48

gartner.com/reviews/market/customer-data-platforms46

guideflow.com/blog/identity-resolution-software42

prospeo.io/s/identity-resolution-software41

Pages are listed as the models cited them.

Search and answers

Where Salesforce Data Cloud stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 2,900 a month (“salesforce data cloud”)
AI search demand for its name, est.: 174 a month
Its own site: It sits on Salesforce's site (salesforce.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 16 of 159 in DMP

Segment leader

37%

Segment

First choices: 50 across its categories
Named in: 339 answers
Its own site cited: in 320 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 Salesforce Data Cloud

What the judge wrote, as written, with how often. The vendor table decides that these count as Salesforce Data Cloud; a claim can dispute any of them.

Salesforce Data 360 16Salesforce 4Salesforce CDP 3Salesforce Data Cloud (Data 360) 2Salesforce Data Cloud / Data 360 2Data 360 (formerly Salesforce Data Cloud) 1Data Cloud 1Salesforce (Customer 360/Data Cloud) 1Salesforce Customer Data Platform 1Salesforce Data Cloud (formerly Data 360) 1Salesforce Data Cloud (now Data 360) 1Salesforce Data Cloud/Data 360 1

Follow Salesforce Data Cloud

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

Salesforce is the company behind Salesforce Data Cloud.

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On record

Wikidata

Website: salesforce.com
Headquarters: San Francisco, United States
Founded: 1999
Employees: about 35,000 (2019)
Ownership: Public, CRM on New York Stock Exchange
Also from Salesforce: Salesforce / Marketing Cloud Next / Agentforce Marketing, Salesforce Agentforce, Salesforce Agentforce / Einstein, Salesforce Agentforce Engagement, Salesforce Agentforce Marketing, Salesforce Agentforce SDR, Salesforce Agentforce Voice, Salesforce Agentforce for Marketing Cloud and 92 more

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

In its own words

Stated by the vendor, not checked

Positioning: Discover Data 360 and see how to harness the power of real-time data from any source to take action across your business.
salesforce.com/data/demos/data-cloud
For: 기존 Salesforce 고객
salesforce.com/kr/products/data-cloud
Price stated: 소비 기준으로, 사용하는 서비스에 대해서만 지불합니다. salesforce.com/kr/products/data-cloud
Free plan or trial: 기존 Salesforce 고객은 Data 360이 페이지를 방문하면 무료로 를 시작할 수 있습니다. salesforce.com/kr/products/data-cloud
Integrations claimed: 200 salesforce.com/kr/products/data-cloud · 250 salesforce.com/data/compare/data-cloud-vs-adobe-cdp pages disagree
Customers named: WyndhamFedExuchicago medicineKawasakiHeathrowSaksSirius XMPrecina
Not stated on the pages read: Starting price, certifications, hosting

What Salesforce Data Cloud's own pages state, read September 28, 2026: salesforce.com/data/demos/data-cloud, salesforce.com/kr/products/data-cloud, salesforce.com/marketing/data/cdp-vs-crm, salesforce.com/br/form/salesforce-cdp-analytics, salesforce.com/data/compare/data-cloud-vs-adobe-cdp. A claimed page can correct any of them.

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 Salesforce Data Cloud'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 Salesforce Data Cloud, 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 Salesforce Data Cloud by email, built from the raw record of the edition. It shows:

where Salesforce Data Cloud 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 Salesforce Data Cloud, 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.