Customer data platforms · October 2026 Edition
BlueConic vs Census
Three of fourteen models named BlueConic first on the direct prompt; zero named Census. BlueConic was named by nine of the fourteen models and Census by four and BlueConic carries 20 labels and Census 11, so the shares are not directly comparable.
Named in five categories this edition.
By Fivetran, United States. Named in five categories this edition.
First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 12; printed, not drawn.
Labels2011A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BlueConic reading right to left. Rank and label count are printed, not drawn.Segment was named alongside these two in thirteen of the fourteen direct answers. Segment vs BlueConic · Segment vs Census · Hightouch vs BlueConic
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the customer data platforms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BlueConicFirst choices, of fourteen modelsCensus
Direct30
Paraphrase11
Comparative001 against BlueConic
Budget-constrained00
Scale-constrained00
Negative002 against BlueConic
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where BlueConic and Census stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | | | |
BlueConic Census first choice named as an alternative argued againstblank: not namedEach cell is one answer, BlueConic on the left and Census on the right.The direct prompt
The plain question, one answer per model, grouped by where BlueConic and Census stood in it.
BlueConic first, Census not the choice
3 of 14 modelsCensus was named in the answer but not as the choice, or not at all.Claude Haiku 4.5BlueConic, Segment alternatives: Hightouch, Salesforce Data Cloud
Kimi K2BlueConic alternatives: Salesforce Data Cloud, Tealium
Muse Glimmer 30BBlueConic, Segment alternatives: Hightouch, Salesforce Data Cloud, Tealium, Treasure Data
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashHightouch alternatives: BlueConic, CaliberMind, Segment
Perplexity SonarSegment alternatives: BlueConic, Hightouch, Tealium
Grok 4.1 FastSegment alternatives: BlueConic, Hightouch
Mistral SmallHightouch, Segment alternatives: BlueConic, Demandbase, Tealium
DeepSeek V4 FlashHightouch, Segment alternatives: BlueConic, RudderStack
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniHightouch alternatives: RudderStack, Segment
Llama 4 MaverickZoomInfo alternatives: Hightouch, Segment, Tealium
Qwen 3.7 FlashHightouch, Segment alternatives: AudienceStream, HubSpot, RudderStack, mParticle
GLM 4.7 FlashXSegment alternatives: 6sense, HubSpot, Salesforce Data Cloud
MiniMax M2.5HubSpot CDP alternatives: Bloomreach, RudderStack, Segment, Tealium
GPT-6 LunaHightouch alternatives: RudderStack, Segment
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
BlueConic leads by four points.
BlueConic4%#– of 13Census0%#– of 13Mid-marketThe figures above
Enterprise
The order flips: Census leads at enterprise.
Census4%#– of 9BlueConic2%#– of 9What the models said about BlueConic
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“BlueConic if you need deep warehouse-centric modeling or heavy event streaming at scale.” Perplexity Sonar · negative prompt · soft negative
“BlueConic was a challenger in 2024, but it's now a niche player” Muse Glimmer 30B · comparative prompt · soft negative
“Legacy "Packaged" CDPs... requires complex, custom workarounds” Gemini 3.5 Flash · negative prompt · soft negative
“best for mid-market marketing teams that need a CDP they can operate without dedicated data engineering support” Claude Haiku 4.5 · direct prompt · first choice
“Segment and BlueConic offer manageable starting prices with HubSpot and Salesforce connectors” Muse Glimmer 30B · direct prompt · first choice
What the models said about Census
No label in this category carried a quote.
Also compared
Segment vs BlueConicSegment vs CensusHightouch vs BlueConicHightouch vs CensusBlueConic vs RudderStackBlueConic vs Salesforce Data CloudBlueConic vs Adobe Real-Time CDPRudderStack vs CensusCensus vs Salesforce Data CloudCensus vs Adobe Real-Time CDPAll twenty-one head-to-head pages and the full CDP standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.