| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data management platforms | GTM data and infrastructure | 2% | 18 of 159 | 50% | 2 | under 10 labels · led by Segment at 37% | ▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| 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 22 → 18 of 159 |
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 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
Verbatim evidence the judge attached to positive labels.
“Best overall for mid-sized B2B: Adobe Real-Time CDP B2B Edition.” GPT-5.4 mini · DMP · paraphrase prompt · first choice
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.
“it is likely more platform than many mid-market teams need” GPT-6 Luna · DMP · direct prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 6 of the 6 answers that named Adobe Real-Time CDP B2B Edition and are not a share of its labels.
Eleven of the sixteen domain citations in answers naming Adobe Real-Time CDP B2B Edition came from somebody else's page.
Pages are listed as the models cited them.
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
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 B2B Edition'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 B2B Edition, 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 B2B Edition by email, built from the raw record of the edition. It shows: