Attribution and marketing mix modeling · October 2026 Edition
Measured vs Cometly
Zero of fourteen models named Measured first on the direct prompt; zero named Cometly. Measured was named by thirteen of the fourteen models and Cometly by eight and Measured carries 21 labels and Cometly 15, so the shares are not directly comparable.
Named in two categories this edition.
Named in six categories this edition.
First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 17; printed, not drawn.
Labels2115A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Measured reading right to left. Rank and label count are printed, not drawn.Dreamdata was named alongside these two in fourteen of the fourteen direct answers. Dreamdata vs Measured · Dreamdata vs Cometly · Google Analytics 4 vs Measured
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.
MeasuredFirst choices, of fourteen modelsCometly
Direct00
Paraphrase10
Comparative21
Budget-constrained011 against Measured
Scale-constrained20
Negative001 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 Measured 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 | |
Measured Cometly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Measured on the left and Cometly on the right.The direct prompt
The plain question, one answer per model, grouped by where Measured and Cometly stood in it.
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
GLM 4.7 FlashXDreamdata alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics
Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Dreamdata, HockeyStack alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Grok 4.1 FastDreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
Llama 4 MaverickRockerbox alternatives: Attribution, Dreamdata, Northbeam
Qwen 3.7 FlashRockerbox alternatives: Dreamdata
Kimi K2Dreamdata alternatives: Factors.ai, Recast, Rockerbox
MiniMax M2.5HockeyStack, Marketing Evolution alternatives: Adobe Marketo Measure, Dreamdata
GPT-6 LunaHockeyStack alternatives: Dreamdata, Paramark
Muse Glimmer 30BDreamdata alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox
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
Mid-marketThe figures above
The order flips: Measured leads at mid-market.
Measured5%#6 of 17Cometly2%#8 of 17Enterprise
What the models said about Measured
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“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
“If you want a more turn-key, CFO-ready dashboard with heavy, automated calibration out-of-the-box, look at Measured or Rockerbox.” Gemini 3.5 Flash · scale prompt · first choice
“Measured ranks first because it turns MMM from a quarterly report into a weekly operating system.” Muse Glimmer 30B · comparative prompt · first choice
“Measured specializes in marketing mix modeling for mid-market companies” GLM 4.7 FlashX · paraphrase 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 MeasuredDreamdata vs CometlyGoogle Analytics 4 vs MeasuredGoogle Analytics 4 vs CometlyRockerbox vs MeasuredRockerbox vs CometlyGoogle Meridian vs MeasuredGoogle Meridian vs CometlyHockeyStack vs MeasuredHockeyStack vs CometlyMeasured 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.