Attribution and marketing mix modeling · September 2026 Edition
Triple Whale vs CaliberMind
Zero of twelve models named Triple Whale first on the direct prompt; one named CaliberMind. Triple Whale was named by ten of the twelve models and CaliberMind by seven and Triple Whale carries 29 labels and CaliberMind 10, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share4%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#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, Triple Whale 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 Triple Whale · Dreamdata vs CaliberMind · Google Analytics 4 vs Triple Whale
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.
Triple WhaleFirst choices, of twelve modelsCaliberMind
Direct011 against Triple Whale
Paraphrase01
Comparative00
Budget-constrained30
Scale-constrained001 against Triple Whale
Negative006 against Triple Whale
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 Triple Whale 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 | |
Triple Whale CaliberMind first choice named as an alternative argued againstblank: not namedEach cell is one answer, Triple Whale on the left and CaliberMind on the right.The direct prompt
The plain question, one answer per model, grouped by where Triple Whale and CaliberMind stood in it.
CaliberMind first, Triple Whale not the choice
1 of 12 modelsTriple Whale 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
2 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
Neither was named
9 of 12 modelsThe answer made no first choice from these two in this category.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
Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox
Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast
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
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
Triple Whale leads by four points.
Triple Whale4%#7 of 18CaliberMind0%#– of 18Mid-marketThe figures above
Triple Whale leads by one point.
Triple Whale4%#5 of 22CaliberMind3%#8 of 22Enterprise
The order flips: CaliberMind leads at enterprise.
CaliberMind7%#– of 21Triple Whale0%#21 of 21What the models said about Triple Whale
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“❌ Great for smaller e-commerce stores (Shopify-centric) but lack the deep econometrics and offline/macro modeling required” Gemini 3.5 Flash · scale prompt · hard negative
“140+ attribution incidents since February 2024, raising serious questions about data consistency and reliability” Mistral Small · negative prompt · hard negative
“Rockerbox, Triple Whale, Northbeam and similar credit-assigning tools face these common problems” GLM 4.7 FlashX · negative prompt · hard negative
“Choose Triple Whale if you run a Shopify/E-commerce store and want both MTA and MMM managed for you on a budget.” Gemini 3.5 Flash · budget prompt · first choice
“Triple Whale (free plan available) or Attribution App ($19/month)” Mistral Small · budget prompt · first choice
“Under $100/month: Start with free tiers (Triple Whale, Dreamdata)” MiniMax M2.5 · budget 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 Triple WhaleDreamdata vs CaliberMindGoogle Analytics 4 vs Triple WhaleGoogle Analytics 4 vs CaliberMindRecast vs Triple WhaleRecast vs CaliberMindMeasured vs Triple WhaleMeasured vs CaliberMindTriple Whale vs HockeyStackTriple Whale vs Google MeridianHockeyStack 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.