| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Customer data platforms | GTM data and infrastructure | 2% | 12 of 61 | 50% | 34 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 0% | 156 of 159 | 53% | 17 | criticized challenger | =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% | 51 of 155 | 36% | 11 | criticized challenger | |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 53 of 142 | 33% | 6 | 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. |
| Identity resolution | GTM data and infrastructure | 0% | 110 of 140 | 33% | 6 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Tag management | GTM data and infrastructure | 0% | 55 of 67 | 50% | 2 | under 10 labels · led by Google Tag Manager at 81% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Channel partner and local marketing | Partner and channel | 0% | 108 of 124 | 100% | 1 | under 10 labels · led by Channelscaler at 10% | newNew since September 2026: not ranked then, 0% now. |
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 69 of 83 | 100% | 1 | under 10 labels · led by Hightouch at 40% | newNew since September 2026: not ranked then, 0% now. |
| Programmatic and display advertising | Marketing | 0% | 55 of 92 | 0% | 1 | under 10 labels · led by StackAdapt at 48% | newNew since September 2026: not ranked then, 0% now. |
| 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 58 → 12 of 61 |
| DMP | 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 168 → 156 of 159 |
| Audience insights | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 51 of 155, unchanged |
| 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 66 → 53 of 142 |
| 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 30 → 110 of 140 |
| Tag management | 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 45 → 55 of 67 |
| Channel marketing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 108 of 124, unchanged |
| Warehouse & ETL | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 69 of 83, unchanged |
| Programmatic | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 55 of 92, 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 1 | 1 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 7 | 8 |
| Perplexity Sonar | 0 | 1 | 2 | 5 | 8 |
| Grok 4.1 Fast | 0 | 0 | 2 | 3 | 5 |
| Mistral Small | 1 | 3 | 1 | 0 | 5 |
| DeepSeek V4 Flash | 0 | 1 | 2 | 7 | 10 |
| Llama 4 Maverick | 0 | 2 | 5 | 0 | 7 |
| Qwen 3.7 Flash | 0 | 0 | 2 | 8 | 10 |
| Kimi K2 | 0 | 1 | 3 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 2 | 4 |
| MiniMax M2.5 | 0 | 2 | 2 | 2 | 6 |
| GPT-6 Luna | 0 | 2 | 1 | 0 | 3 |
| Muse Glimmer 30B | 0 | 1 | 1 | 1 | 3 |
Verbatim evidence the judge attached to positive labels.
“Adobe Real-Time CDP (B2B Edition) or Salesforce CDP are top choices due to their robust B2B features and scalability” Mistral Small · CDP · paraphrase prompt · first choice
“Adobe is steering new customers toward Adobe Real-Time CDP, which shifts from pseudonymous, cookie-based audience management to first-party customer profiles” Muse Glimmer 30B · DMP · negative prompt · alternative
“If you're deep in Adobe Experience Cloud, Adobe Real‑Time CDP offers integrated personalization and journey orchestration.” GLM 4.7 FlashX · CDP · comparative prompt · alternative
“Consider Adobe or Salesforce if you're already committed to their respective ecosystems” GPT-6 Luna · CDP · comparative prompt · alternative
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 ... they carry a premium price tag and high complexity” Qwen 3.7 Flash · CDP · negative prompt · hard negative
“What to Avoid for Mid-Market — enterprise-focused, with pricing and complexity that typically don't fit mid-market budgets” DeepSeek V4 Flash · DMP · direct prompt · hard negative
“Avoid enterprise platforms (like Adobe or SAP) unless you are at the upper end of the mid-market” Qwen 3.7 Flash · DMP · direct prompt · hard negative
“you should probably steer clear unless you already run a massive Adobe-dominant tech stack” Gemini 3.5 Flash · Tag management · direct prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 284 of the 299 answers that named Adobe Real-Time CDP and are not a share of its labels.
768 of the 768 domain citations in answers naming Adobe Real-Time CDP came from somebody else's page.
Pages are listed as the models cited them.
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.
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.
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
What Adobe Real-Time CDP's own pages state, read September 28, 2026: helpx.adobe.com/legal/product-descriptions/real-time-customer-data-platform.html, helpx.adobe.com/legal/product-descriptions/Adobe-Real-time-Customer-Data-Platform-Connections.html, helpx.adobe.com/legal/product-descriptions/real-time-customer-data-platform-b2b.html, helpx.adobe.com/legal/product-descriptions/real-time-customer-data-platform-b2p.html, helpx.adobe.com/legal/product-descriptions/real-time-customer-data-platform-collaboration.html. A claimed page can correct any of them.
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 Adobe Real-Time CDP'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 Adobe Real-Time CDP, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Adobe Real-Time CDP by email, built from the raw record of the edition. It shows: