Attribution and marketing mix modeling · October 2026 Edition
Dreamdata vs Cometly
Nine of fourteen models named Dreamdata first on the direct prompt; zero named Cometly. Dreamdata was named by fourteen of the fourteen models and Cometly by eight and Dreamdata carries 38 labels and Cometly 15, so the shares are not directly comparable.
Named in six categories this edition.
Named in six categories this edition.
First-choice share27%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A 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 modelsCometly
Direct90
Paraphrase80
Comparative01
Budget-constrained012 against Dreamdata
Scale-constrained00
Negative001 against Dreamdata · 1 against Cometly
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 Cometly 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 4.1 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 | | |
Dreamdata Cometly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dreamdata on the left and Cometly on the right.The direct prompt
The plain question, one answer per model, grouped by where Dreamdata and Cometly stood in it.
Dreamdata first, Cometly an alternative
9 of 14 modelsCometly 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 4.1 FastDreamdata 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-one points.
Dreamdata26%#1 of 17Cometly5%#7 of 17Mid-marketThe figures above
Dreamdata leads by twenty-five points.
Dreamdata27%#1 of 17Cometly2%#8 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 Cometly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Cometly is built for digital-only marketers; if more than 20% of your spend is in offline channels, it doesn't support those natively” Claude Haiku 4.5 · negative prompt · soft negative
“Cometly (Best for Cost-Effective Multi-Channel Optimization) ... Choose this if you want actionable, daily insights to optimize ad spend without a massive price tag.” Qwen 3.7 Flash · budget prompt · first choice
“Cometly - a self-service attribution platform that combines real-time multi-touch attribution with MMM-style aggregated modeling.” Llama 4 Maverick · comparative prompt · first choice
“Choose Cometly if you’re a performance‑marketing team with high ad spend and need server‑side accuracy.” GLM 4.7 FlashX · direct prompt · alternative
Also compared
Dreamdata vs Google Analytics 4Dreamdata vs RockerboxDreamdata vs Google MeridianDreamdata vs HockeyStackDreamdata vs MeasuredDreamdata vs RecastGoogle Analytics 4 vs CometlyRockerbox vs CometlyGoogle Meridian vs CometlyHockeyStack vs CometlyMeasured vs CometlyRecast 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.