Attribution and marketing mix modeling · September 2026 Edition
HockeyStack vs CaliberMind
One of twelve models named HockeyStack first on the direct prompt; one named CaliberMind. HockeyStack was named by eleven of the twelve models and CaliberMind by seven and HockeyStack carries 29 labels and CaliberMind 10, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
First-choice share3%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 22; printed, not drawn.
Labels2910A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HockeyStack reading right to left. Rank and label count are printed, not drawn.Dreamdata was named alongside these two in eleven of the twelve direct answers. Dreamdata vs HockeyStack · Dreamdata vs CaliberMind · Google Analytics 4 vs HockeyStack
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.
HockeyStackFirst choices, of twelve modelsCaliberMind
Direct11
Paraphrase11
Comparative00
Budget-constrained00
Scale-constrained00
Negative003 against HockeyStack
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 HockeyStack 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 |
HockeyStack CaliberMind first choice named as an alternative argued againstblank: not namedEach cell is one answer, HockeyStack on the left and CaliberMind on the right.The direct prompt
The plain question, one answer per model, grouped by where HockeyStack and CaliberMind stood in it.
HockeyStack first, CaliberMind not the choice
1 of 12 modelsCaliberMind was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte
CaliberMind first, HockeyStack an alternative
1 of 12 modelsHockeyStack 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
7 of 12 modelsThe answer put something else first and named one of the two as an alternative.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
Kimi K2Dreamdata alternatives: Factors.ai, HockeyStack, Recast, Rockerbox
GLM 4.7 FlashXDreamdata, SegmentStream alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics
Neither was named
3 of 12 modelsThe answer made no first choice from these two in this category.Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox
Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub
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
HockeyStack leads by four points.
HockeyStack4%#9 of 18CaliberMind0%#– of 18Mid-marketThe figures above
Level: the same share of first choices.
HockeyStack3%#6 of 22CaliberMind3%#8 of 22Enterprise
HockeyStack leads by four points.
HockeyStack11%#3 of 21CaliberMind7%#– of 21What the models said about HockeyStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Verdict: Avoid for any situation requiring accountability or regulatory compliance” Mistral Small · negative prompt · hard negative
“Multi-Touch Tools (e.g., Triple Whale, Northbeam, Rockerbox, HockeyStack): Frequent "trust issues"” Grok 4.1 Fast · negative prompt · soft negative
“Attribution isn't the core product ... so attribution depth is limited.” DeepSeek V4 Flash · negative prompt · soft negative
“Dreamdata or HockeyStack (attribution) will deliver more practical value faster” DeepSeek V4 Flash · direct prompt · first choice
“is Dreamdata, HockeyStack, or Factors.ai, according to the search results” Llama 4 Maverick · paraphrase prompt · first choice
“Alternatives if needed: HockeyStack (~$25K-$30K/year, stronger on AI/predictive GTM intelligence but pricier” Grok 4.1 Fast · paraphrase prompt · alternative
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 HockeyStackDreamdata vs CaliberMindGoogle Analytics 4 vs HockeyStackGoogle Analytics 4 vs CaliberMindRecast vs HockeyStackRecast vs CaliberMindMeasured vs HockeyStackMeasured vs CaliberMindTriple Whale vs HockeyStackTriple Whale vs CaliberMindHockeyStack vs Google MeridianGoogle 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.