Attribution and marketing mix modeling · September 2026 Edition
Dreamdata vs CaliberMind
Nine of twelve models named Dreamdata first on the direct prompt; one named CaliberMind. Dreamdata was named by twelve of the twelve models and CaliberMind by seven and Dreamdata carries 43 labels and CaliberMind 10, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category this edition.
First-choice share29%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 22; printed, not drawn.
Labels4310A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dreamdata reading right to left. Rank and label count are printed, not drawn.Recast was named alongside these two in seven of the twelve direct answers. Dreamdata vs Google Analytics 4 · Dreamdata vs Recast · Dreamdata vs Measured
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 attribution and marketing mix modeling page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
DreamdataFirst choices, of twelve modelsCaliberMind
Direct91
Paraphrase101
Comparative10
Budget-constrained10
Scale-constrained00
Negative103 against Dreamdata
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where Dreamdata and CaliberMind 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 | | | |
Dreamdata CaliberMind first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dreamdata on the left and CaliberMind on the right.The direct prompt
The plain question, one answer per model, grouped by where Dreamdata and CaliberMind stood in it.
Dreamdata first, CaliberMind an alternative
9 of 12 modelsCaliberMind was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Dreamdata alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam
GPT-5.4 miniDreamdata alternatives: Adobe Marketo Measure, CaliberMind, MixModeler
Perplexity SonarDreamdata alternatives: Factors.ai, HockeyStack
Grok 4.1 FastDreamdata alternatives: HockeyStack, Recast, RevSure
Mistral SmallDreamdata, Recast alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte
Kimi K2Dreamdata alternatives: Factors.ai, HockeyStack, Recast, Rockerbox
GLM 4.7 FlashXDreamdata, SegmentStream alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub
CaliberMind first, Dreamdata an alternative
1 of 12 modelsDreamdata was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure
Neither was the first choice, one was named
1 of 12 modelsThe answer put something else first and named one of the two as an alternative.Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox
Neither was named
1 of 12 modelsThe answer made no first choice from these two in this category.Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast
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
Dreamdata leads by nineteen points.
Dreamdata19%#1 of 18CaliberMind0%#– of 18Mid-marketThe figures above
Dreamdata leads by twenty-six points.
Dreamdata29%#1 of 22CaliberMind3%#8 of 22Enterprise
Dreamdata leads by five points.
Dreamdata12%#2 of 21CaliberMind7%#– of 21What the models said about Dreamdata
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Steep learning curve, rigid/non-customizable dashboards, slow data syncs, clunky reporting.” DeepSeek V4 Flash · negative prompt · soft negative
“Steep learning curve with overwhelming reports; Integration challenges” GLM 4.7 FlashX · negative prompt · soft negative
“Verdict: Too narrow for most enterprise needs” Mistral Small · negative prompt · soft negative
“For B2B SaaS, top choices include Dreamdata (B2B pipeline attribution)... strong fit for pipeline- and revenue-focused B2B measurement.” Claude Haiku 4.5 · direct prompt · first choice
“The recommended attribution and MMM tool for a mid-sized B2B company is Dreamdata, HockeyStack, or Factors.ai” Llama 4 Maverick · paraphrase prompt · first choice
“Dreamdata is the strongest default — it's purpose-built for the multi-person buying committee problem” DeepSeek V4 Flash · paraphrase prompt · first choice
What the models said about CaliberMind
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“CaliberMind is one of the very few platforms that natively unifies bottom-up Multi-Touch Attribution with top-down Marketing Mix Modeling.” Gemini 3.5 Flash · direct prompt · first choice
“CaliberMind doesn’t just show MTA and MMM side-by-side; they actively feed into each other.” Gemini 3.5 Flash · paraphrase prompt · first choice
“CaliberMind is best for mid-market and enterprise B2B teams with existing data engineering resources” Claude Haiku 4.5 · direct prompt · alternative
Also compared
Dreamdata vs Google Analytics 4Dreamdata vs RecastDreamdata vs MeasuredDreamdata vs Triple WhaleDreamdata vs HockeyStackDreamdata vs Google MeridianGoogle Analytics 4 vs CaliberMindRecast vs CaliberMindMeasured vs CaliberMindTriple Whale vs CaliberMindHockeyStack vs CaliberMindGoogle Meridian vs CaliberMindAll twenty-eight head-to-head pages and the full Attribution & MMM 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.