Recast vs HockeyStack
Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.
One of fourteen models named Recast first on the direct prompt; one named HockeyStack. Recast was named by twelve of the fourteen models and HockeyStack by eleven and Recast carries 29 labels and HockeyStack 30, so the shares are not directly comparable.
Named in one category this edition.
Named in five categories 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.
By framing
RecastFirst choices, of fourteen modelsHockeyStack
Across every category in the November 2026 Edition, Recast and HockeyStack were named in the same answer thirty-one times, of the 77 answers naming Recast and the 101 naming HockeyStack. In those answers HockeyStack took the first choice two times and Recast four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | | | | |
| 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 | |
Recast HockeyStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Recast on the left and HockeyStack on the right.The direct prompt
Recast first, HockeyStack an alternative
1 of 14 modelsHockeyStack was named in the answer but not as the choice, or not at all.HockeyStack first, Recast not the choice
1 of 14 modelsRecast was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Recast2%#9 of 19HockeyStack2%#10 of 19HockeyStack7%#5 of 16Recast3%#7 of 16What the models said about Recast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid For Limited Budgets: Enterprise tools like Adobe Analytics, Measured, Recast, or Nielsen” Grok 4.20 · budget prompt · hard negative
“Pure MMM solutions—such as Recast, Measured... work exceptionally well for high-volume consumer brands. However, in B2B” Gemini 3.5 Flash · paraphrase prompt · soft negative
“enterprise attribution and MMM tools (like Measured, Recast, or Northbeam) typically start at $2,000 to $10,000+ per month” Gemini 3.5 Flash · budget prompt · soft negative
“For MMM capabilities specifically, Recast is a self-service MMM platform designed for marketers, built for mid-market digital teams” Claude Haiku 4.5 · direct prompt · first choice
“My Top Recommendation: Dreamdata (for Attribution) + Recast (for MMM)” Kimi K2 · paraphrase prompt · first choice
“Recast is highlighted as a top MMM platform for B2B teams” Mistral Small · paraphrase prompt · first choice
What the models said about HockeyStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Best Overall for Mid-Market B2B” Kimi K2 · direct prompt · first choice
“Prioritize account-level attribution with Salesforce/HubSpot native integration (Dreamdata, HockeyStack, or Adobe Marketo Measure)” Kimi K2 · scale 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.