Nine of fourteen models named Dreamdata first on the direct prompt; three named Rockerbox. Dreamdata was named by fourteen of the fourteen models and Rockerbox by ten and Dreamdata carries 38 labels and Rockerbox 29, so the shares are not directly comparable.
Named in six 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 fourteen 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 October 2026 Edition, Dreamdata and Rockerbox were named in the same answer thirty-seven times, of the 125 answers naming Dreamdata and the 75 naming Rockerbox. In those answers Rockerbox took the first choice eight times and Dreamdata eleven.
| 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 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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 six in this category shown.
“"losing head-to-head comparisons" against competitors, with users actively seeking alternatives” DeepSeek V4 Flash · negative prompt · soft negative
“What to Avoid on a Tight Budget - Dreamdata starts at ~$750/month” Kimi K2 · budget prompt · soft negative
“but these are better fits when your budget is no longer very limited” Perplexity Sonar · budget prompt · soft negative
“Dreamdata or Factors.ai for attribution, and Google Meridian or Northbeam for MMM, would be the most balanced and effective choices.” Mistral Small · paraphrase prompt · first choice
“Attribution: Dreamdata if your buying cycles are long, account-based, and you want B2B-specific multi-touch attribution tied to revenue” GPT-5.4 mini · paraphrase prompt · first choice
“the strongest overall choice is usually Dreamdata if your priority is B2B revenue attribution and customer-journey analysis” Perplexity Sonar · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Be very cautious with Rockerbox unless you have a full-time developer and accept biased reporting and data reconciliation issues.” DeepSeek V4 Flash · negative prompt · soft negative
“Tools like LeadsRx or Rockerbox require heavy data prep; poor support or limited APIs lead to frustration.” Grok 4.1 Fast · negative prompt · soft negative
“platforms (like Recast, Measured, or Rockerbox) routinely cost upwards of $50,000 to $150,000+ per year” Gemini 3.5 Flash · budget prompt · soft negative
“The best marketing attribution and marketing mix modeling platform for a mid-market B2B company is Rockerbox” Llama 4 Maverick · direct prompt · first choice
“paired with Rockerbox or Google's Meridian (open-source MMM) for marketing mix modeling (MMM)” Grok 4.1 Fast · paraphrase prompt · first choice
“most mid-market B2B teams start with Rockerbox for the MTA+MMM combo to avoid two vendors” Muse Glimmer 30B · paraphrase prompt · first choice
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.