Nine of twelve models named Dreamdata first on the direct prompt; two named Recast. Dreamdata was named by twelve of the twelve models and Recast by ten and Dreamdata carries 43 labels and Recast 35, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category 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.
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.
“Steep learning curve, rigid/non-customizable dashboards, slow data syncs, clunky reporting.” DeepSeek V4 Flash · negative prompt · soft negative
“Steep learning curve with overwhelming reports; Integration challenges” GLM 4.7 FlashX · negative prompt · soft negative
“Verdict: Too narrow for most enterprise needs” Mistral Small · negative prompt · soft negative
“For B2B SaaS, top choices include Dreamdata (B2B pipeline attribution)... strong fit for pipeline- and revenue-focused B2B measurement.” Claude Haiku 4.5 · direct prompt · first choice
“The recommended attribution and MMM tool for a mid-sized B2B company is Dreamdata, HockeyStack, or Factors.ai” Llama 4 Maverick · paraphrase prompt · first choice
“Dreamdata is the strongest default — it's purpose-built for the multi-person buying committee problem” 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 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
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.