Two of twelve models named Recast first on the direct prompt; one named HockeyStack. Recast was named by ten of the twelve models and HockeyStack by eleven and Recast carries 35 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, Recast and HockeyStack were named in the same answer thirty-six times, of the 79 answers naming Recast and the 81 naming HockeyStack. In those answers HockeyStack took the first choice five times and Recast five.
| 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. Six of seven in this category shown.
“Far too expensive for limited budgets” DeepSeek V4 Flash · budget prompt · hard negative
“Built for Statisticians, Not Marketers ... Requires a data scientist to translate Bayesian posteriors” Kimi K2 · negative prompt · soft negative
“Recast/Funnel are solid but more digital-heavy/enterprise (~$50K+)” Grok 4.1 Fast · paraphrase prompt · soft negative
“You likely want to focus on Tier 2 (SaaS-Enabled UMM): Recast, Measured, Lifesight, Mutinex, LiftLab, Haus” Gemini 3.5 Flash · scale prompt · first choice
“Recast and Measured being more suitable for mid-market digital teams and enterprises, respectively” Llama 4 Maverick · scale prompt · first choice
“Recast is the standout — transparent Bayesian models, weekly refreshes, and a fast setup” DeepSeek V4 Flash · paraphrase 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.