Attribution and marketing mix modeling · October 2026 Edition
Dreamdata vs Recast
Nine of fourteen models named Dreamdata first on the direct prompt; zero named Recast. Dreamdata was named by fourteen of the fourteen models and Recast by nine and Dreamdata carries 38 labels and Recast 15, so the shares are not directly comparable.
Named in six categories this edition.
Named in one category this edition.
First-choice share27%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 17; printed, not drawn.
Labels3815A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dreamdata reading right to left. Rank and label count are printed, not drawn.HockeyStack was named alongside these two in nine of the fourteen direct answers. Dreamdata vs Google Analytics 4 · Dreamdata vs Rockerbox · Dreamdata vs Google Meridian
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DreamdataFirst choices, of fourteen modelsRecast
Direct90
Paraphrase80
Comparative00
Budget-constrained002 against Dreamdata · 1 against Recast
Scale-constrained02
Negative001 against Dreamdata · 1 against Recast
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Dreamdata and Recast stood in it.
| 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 | | |
Dreamdata Recast first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dreamdata on the left and Recast on the right.The direct prompt
The plain question, one answer per model, grouped by where Dreamdata and Recast stood in it.
Dreamdata first, Recast an alternative
9 of 14 modelsRecast was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Dreamdata, HockeyStack alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream
GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Grok 4.20Dreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Kimi K2Dreamdata alternatives: Factors.ai, Recast, Rockerbox
GLM 4.7 FlashXDreamdata alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics
Muse Glimmer 30BDreamdata alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Llama 4 MaverickRockerbox alternatives: Attribution, Dreamdata, Northbeam
Qwen 3.7 FlashRockerbox alternatives: Dreamdata
MiniMax M2.5HockeyStack, Marketing Evolution alternatives: Adobe Marketo Measure, Dreamdata
GPT-6 LunaHockeyStack alternatives: Dreamdata, Paramark
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Dreamdata leads by twenty-six points.
Dreamdata26%#1 of 17Recast0%#13 of 17Mid-marketThe figures above
Dreamdata leads by twenty-three points.
Dreamdata27%#1 of 17Recast3%#7 of 17Enterprise
What the models said about Dreamdata
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
What the models said about Recast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Enterprise-grade, managed MMM and multi-touch attribution (MTA) 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
“Recast has limitations if you need custom transformations—like modeling promo mechanics with different lag structures per SKU.” Claude Haiku 4.5 · negative prompt · soft negative
“Recast | Self-serve Bayesian MMM, fast refresh, no data science team needed | Companies wanting modern MMM without heavy lift” Kimi K2 · scale prompt · first choice
“If you have 1-2 analysts with intermediate statistics experience, look closely at Recast or Haus.” Gemini 3.5 Flash · scale prompt · first choice
“Add MMM with: Recast ... offers the best balance of modern methodology and mid-market accessibility” Kimi K2 · paraphrase prompt · alternative
Also compared
Dreamdata vs Google Analytics 4Dreamdata vs RockerboxDreamdata vs Google MeridianDreamdata vs HockeyStackDreamdata vs MeasuredDreamdata vs CometlyGoogle Analytics 4 vs RecastRockerbox vs RecastGoogle Meridian vs RecastHockeyStack vs RecastMeasured vs RecastRecast vs CometlyAll twenty-eight head-to-head pages and the full Attribution & MMM standing
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.