Attribution and marketing mix modeling · October 2026 Edition
Rockerbox vs Cometly
Three of fourteen models named Rockerbox first on the direct prompt; zero named Cometly. Rockerbox was named by ten of the fourteen models and Cometly by eight and Rockerbox carries 29 labels and Cometly 15, so the shares are not directly comparable.
Named in one category this edition.
Named in six categories this edition.
First-choice share11%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 17; printed, not drawn.
Labels2915A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Rockerbox 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 Rockerbox · Dreamdata vs Cometly · Google Analytics 4 vs Rockerbox
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.
RockerboxFirst choices, of fourteen modelsCometly
Direct30
Paraphrase20
Comparative11
Budget-constrained011 against Rockerbox
Scale-constrained20
Negative003 against Rockerbox · 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 Rockerbox 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 | | |
Rockerbox Cometly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rockerbox on the left and Cometly on the right.The direct prompt
The plain question, one answer per model, grouped by where Rockerbox and Cometly stood in it.
Rockerbox first, Cometly not the choice
3 of 14 modelsCometly was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Llama 4 MaverickRockerbox alternatives: Attribution, Dreamdata, Northbeam
Qwen 3.7 FlashRockerbox alternatives: Dreamdata
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.Claude Haiku 4.5Dreamdata, HockeyStack alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream
Grok 4.1 FastDreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
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 named
6 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
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
Cometly leads by five points.
Cometly5%#7 of 17Rockerbox0%#15 of 17Mid-marketThe figures above
The order flips: Rockerbox leads at mid-market.
Rockerbox11%#3 of 17Cometly2%#8 of 17Enterprise
Rockerbox leads by thirteen points.
Rockerbox15%#1 of 17Cometly2%#– of 17What the models said about Rockerbox
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Be very cautious with Rockerbox unless you have a full-time developer and accept biased reporting and data reconciliation issues.” DeepSeek V4 Flash · negative prompt · soft negative
“Tools like LeadsRx or Rockerbox require heavy data prep; poor support or limited APIs lead to frustration.” Grok 4.1 Fast · negative prompt · soft negative
“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
“The best marketing attribution and marketing mix modeling platform for a mid-market B2B company is Rockerbox” Llama 4 Maverick · direct prompt · first choice
“paired with Rockerbox or Google's Meridian (open-source MMM) for marketing mix modeling (MMM)” Grok 4.1 Fast · paraphrase prompt · first choice
“most mid-market B2B teams start with Rockerbox for the MTA+MMM combo to avoid two vendors” Muse Glimmer 30B · 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 RockerboxDreamdata vs CometlyGoogle Analytics 4 vs RockerboxGoogle Analytics 4 vs CometlyRockerbox vs Google MeridianRockerbox vs HockeyStackRockerbox vs MeasuredRockerbox vs RecastGoogle 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.