| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data management platforms | GTM data and infrastructure | 12% | 3 of 159 | 0% | 12 | accepted challenger | ▲+10Since September 2026: 2% → 12%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer data platforms | GTM data and infrastructure | 8% | 3 of 61 | 15% | 20 | accepted challenger | =heldSince September 2026: 5% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 0% | 38 of 140 | 0% | 4 | 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. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 34 of 142 | 0% | 3 | 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. |
| Tag management | GTM data and infrastructure | 0% | 36 of 67 | 0% | 1 | under 10 labels · led by Google Tag Manager at 81% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| DMP | 2% | 12% | ▲+10Since September 2026: 2% → 12%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 11 → 3 of 159 |
| CDP | 5% | 5% | =heldSince September 2026: 5% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 3 of 61 |
| 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 32 → 38 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 125 → 34 of 142 |
| Tag management | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 36 of 67, 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 | 2 | 0 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 1 | 4 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.1 Fast | 0 | 4 | 2 | 0 | 6 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 6 | 0 | 0 | 7 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 2 | 2 | 0 | 5 |
| Kimi K2 | 1 | 2 | 0 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 3 | 2 | 1 | 1 | 7 |
Verbatim evidence the judge attached to positive labels.
“BlueConic is best for mid-market marketing teams that need a CDP they can operate without dedicated data engineering support” Claude Haiku 4.5 · DMP · direct prompt · first choice
“best for mid-market marketing teams that need a CDP they can operate without dedicated data engineering support” Claude Haiku 4.5 · CDP · direct prompt · first choice
“Segment and BlueConic offer manageable starting prices with HubSpot and Salesforce connectors” Muse Glimmer 30B · CDP · direct prompt · first choice
“BlueConic if you're marketing-led and want to own the platform without heavy IT involvement” DeepSeek V4 Flash · DMP · direct 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.
“BlueConic if you need deep warehouse-centric modeling or heavy event streaming at scale.” Perplexity Sonar · CDP · negative prompt · soft negative
“BlueConic was a challenger in 2024, but it's now a niche player” Muse Glimmer 30B · CDP · comparative prompt · soft negative
“Legacy "Packaged" CDPs... requires complex, custom workarounds” Gemini 3.5 Flash · CDP · negative 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 64 of the 71 answers that named BlueConic and are not a share of its labels.
240 of the 240 domain citations in answers naming BlueConic 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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 530 | 15 | 2026-09-11 | CDP, Enrichment | |
| News or press | 267 | undated | CDP, CRM | ||
| Case study | 63 | 0 | 2024-10-17 | CDP, Enrichment | |
| Webinar or virtual event | 32 | 0 | 2026-06-25 | CDP, Identity | |
| Report or ebook | 22 | 8 | 2026-08-06 | CDP | |
| Template or tool | 13 | 1 | 2026-09-11 | ||
| Glossary or explainer | 8 | 0 | 2026-06-01 | ||
| Comparison | 7 | 1 | 2026-08-06 | CDP, DMP | |
| Conference or event | 6 | 1 | 2026-08-06 | CDP | |
| Podcast or video | 3 | 0 | 2026-06-17 |
As the event pages on blueconic.com state them, read September 28, 2026.
Every page blueconic.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
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.
What BlueConic's own pages state, read September 28, 2026: blueconic.com, blueconic.com/solutions/it, blueconic.com/customers, blueconic.com/about/partners. 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 BlueConic'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 BlueConic, 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 BlueConic by email, built from the raw record of the edition. It shows:
BlueConic is among the products AI models recommend first in Data management platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
BlueConic is among the products AI models recommend first in Customer data platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.