Zero of twelve models named Measured first on the direct prompt; one named HockeyStack. Measured was named by eleven of the twelve models and HockeyStack by eleven and Measured carries 24 labels and HockeyStack 29, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
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.
Across every category in the September 2026 Edition, Measured and HockeyStack were named in the same answer thirty-three times, of the 70 answers naming Measured and the 81 naming HockeyStack. In those answers HockeyStack took the first choice two times and Measured four.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“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
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
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.