# Dreamdata vs HockeyStack: which do AI models recommend for Attribution & MMM, October 2026

GTM AI Recommendation Index, October 2026 Edition, Attribution and marketing mix modeling. Nine of fourteen models named Dreamdata first on the direct prompt; three named HockeyStack. Page: https://gtm-ai-index.com/marketing/attribution-mmm/dreamdata-vs-hockeystack/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Dreamdata | 27% | #1 of 17 | 8% | 38 | 14 of 14 |
| HockeyStack | 5% | #5 of 17 | 7% | 29 | 14 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: both first (first choices: Dreamdata, HockeyStack) (alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream)
- GPT-5.4 mini: dreamdata first (first choices: Dreamdata) (alternatives: HockeyStack, Measured)
- Perplexity Sonar: dreamdata first (first choices: Dreamdata) (alternatives: HockeyStack, Improvado, SegmentStream)
- Grok 4.20: dreamdata first (first choices: Dreamdata) (alternatives: Factors.ai, HockeyStack, Rockerbox)
- Mistral Small: dreamdata first (first choices: Dreamdata, MixModeler) (alternatives: Northbeam)
- DeepSeek V4 Flash: dreamdata first (first choices: Dreamdata, Rockerbox) (alternatives: HockeyStack, Marketing Evolution, Measured)
- Kimi K2: dreamdata first (first choices: Dreamdata) (alternatives: Factors.ai, Recast, Rockerbox)
- GLM 4.7 FlashX: dreamdata first (first choices: Dreamdata) (alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics)
- Muse Glimmer 30B: dreamdata first (first choices: Dreamdata) (alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox)
- MiniMax M2.5: hockeystack first (first choices: HockeyStack, Marketing Evolution) (alternatives: Adobe Marketo Measure, Dreamdata)
- GPT-6 Luna: hockeystack first (first choices: HockeyStack) (alternatives: Dreamdata, Paramark)
- Gemini 3.5 Flash: neither first, one named (first choices: CaliberMind) (alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream)
- Llama 4 Maverick: neither first, one named (first choices: Rockerbox) (alternatives: Attribution, Dreamdata, Northbeam)
- Qwen 3.7 Flash: neither first, one named (first choices: Rockerbox) (alternatives: Dreamdata)

## What the models said about Dreamdata

- ""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)

## What the models said about HockeyStack

- "exited the attribution market in April 2026 ... so it's no longer recommended for attribution-only needs." (Kimi K2, direct prompt, hard negative)
- "Pivoting away from pure attribution; now positioned as a broader GTM AI platform (~$2,200+/month)" (DeepSeek V4 Flash, paraphrase prompt, soft negative)
- "HockeyStack connects marketing activity directly to pipeline and revenue, making it well-suited for B2B SaaS teams with long sales cycles." (Claude Haiku 4.5, direct prompt, first choice)
- "HockeyStack offers better value and faster implementation for mid-market companies." (MiniMax M2.5, direct prompt, first choice)
- "I'd start with HockeyStack—but only if its Enterprise pricing works for you" (GPT-6 Luna, direct prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.