Attribution and marketing mix modeling · October 2026 Edition
Rockerbox vs HockeyStack
Three of fourteen models named Rockerbox first on the direct prompt; three named HockeyStack. Rockerbox was named by ten of the fourteen models and HockeyStack by fourteen and both carry 29 labels, so the shares below are directly comparable.
Named in one category this edition.
Named in five categories this edition.
First-choice share11%5%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#5A position in a field of 17; printed, not drawn.
Labels2929Equal, which is what makes the shares comparable.
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 HockeyStack · 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 modelsHockeyStack
Direct331 against HockeyStack
Paraphrase201 against HockeyStack
Comparative10
Budget-constrained001 against Rockerbox
Scale-constrained20
Negative003 against Rockerbox
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.
Across every category in the October 2026 Edition, Rockerbox and HockeyStack were named in the same answer thirty-one times, of the 75 answers naming Rockerbox and the 98 naming HockeyStack. In those answers HockeyStack took the first choice three times and Rockerbox eight.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Rockerbox and HockeyStack 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 HockeyStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rockerbox on the left and HockeyStack on the right.The direct prompt
The plain question, one answer per model, grouped by where Rockerbox and HockeyStack stood in it.
Rockerbox first, HockeyStack an alternative
3 of 14 modelsHockeyStack 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
HockeyStack first, Rockerbox an alternative
3 of 14 modelsRockerbox 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
MiniMax M2.5HockeyStack, Marketing Evolution alternatives: Adobe Marketo Measure, Dreamdata
GPT-6 LunaHockeyStack alternatives: Dreamdata, Paramark
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, 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
1 of 14 modelsThe answer made no first choice from these two in this category.Mistral SmallDreamdata, MixModeler alternatives: Northbeam
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
HockeyStack leads by three points.
HockeyStack3%#11 of 17Rockerbox0%#15 of 17Mid-marketThe figures above
The order flips: Rockerbox leads at mid-market.
Rockerbox11%#3 of 17HockeyStack5%#5 of 17Enterprise
Rockerbox leads by ten points.
Rockerbox15%#1 of 17HockeyStack5%#8 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 HockeyStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“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
Also compared
Dreamdata vs RockerboxDreamdata vs HockeyStackGoogle Analytics 4 vs RockerboxGoogle Analytics 4 vs HockeyStackRockerbox vs Google MeridianRockerbox vs MeasuredRockerbox vs RecastRockerbox vs CometlyGoogle Meridian vs HockeyStackHockeyStack vs MeasuredHockeyStack vs RecastHockeyStack 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.