# Measured vs Triple Whale: which do AI models recommend for Attribution & MMM, September 2026

GTM AI Recommendation Index, September 2026 Edition, Attribution and marketing mix modeling. Zero of twelve models named Measured first on the direct prompt; zero named Triple Whale. Page: https://gtm-ai-index.com/marketing/attribution-mmm/measured-vs-triple-whale/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Measured | 4% | #4 of 22 | 8% | 24 | 11 of 12 |
| Triple Whale | 4% | #5 of 22 | 28% | 29 | 10 of 12 |

## The direct prompt, model by model

- Mistral Small: neither first, one named (first choices: Dreamdata, Recast) (alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics)
- GLM 4.7 FlashX: neither first, one named (first choices: Dreamdata, SegmentStream) (alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics)
- Claude Haiku 4.5: neither named (first choices: Dreamdata) (alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam)
- GPT-5.4 mini: neither named (first choices: Dreamdata) (alternatives: Adobe Marketo Measure, CaliberMind, MixModeler)
- Gemini 3.5 Flash: neither named (first choices: CaliberMind) (alternatives: Dreamdata, HockeyStack, RevSure)
- Perplexity Sonar: neither named (first choices: Dreamdata) (alternatives: Factors.ai, HockeyStack)
- Grok 4.1 Fast: neither named (first choices: Dreamdata) (alternatives: HockeyStack, Recast, RevSure)
- DeepSeek V4 Flash: neither named (first choices: Dreamdata, HockeyStack, Rockerbox) (alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte)
- Llama 4 Maverick: neither named (first choices: Improvado) (alternatives: Dreamdata, Rockerbox)
- Qwen 3.7 Flash: neither named (first choices: Rockerbox) (alternatives: Alviss AI, Recast)
- Kimi K2: neither named (first choices: Dreamdata) (alternatives: Factors.ai, HockeyStack, Recast, Rockerbox)
- MiniMax M2.5: neither named (first choices: Dreamdata, Recast, SegmentStream) (alternatives: Analytic Edge, HubSpot Marketing Hub)

## What the models said about Measured

- "Avoid for B2B mid-market: Enterprise heavies (Adobe Mix Modeler, Measured: custom/$50K+)" (Grok 4.1 Fast, direct prompt, hard negative)
- "strong but more enterprise-oriented and stitched-together; pricing scales higher" (DeepSeek V4 Flash, paraphrase prompt, soft negative)
- "Tier 2 | Modern / SaaS-Enabled UMM & Causal MMM | Recast, Measured, Lifesight, Mutinex, LiftLab, Haus" (Gemini 3.5 Flash, scale prompt, first choice)
- "Measured | Enterprise hybrid; causal MMM + MTA ... Finance-friendly; geo-holdouts." (Grok 4.1 Fast, scale prompt, first choice)
- "Measured | Incrementality-first, finance-friendly, enterprise integrations" (Kimi K2, scale prompt, first choice)

## What the models said about Triple Whale

- "❌ 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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.