AI Indexes
GTM AI Index
Index › Marketing › Attribution & MMM › HockeyStack vs Measured
Attribution and marketing mix modeling · October 2026 Edition

HockeyStack vs Measured

Three of fourteen models named HockeyStack first on the direct prompt; zero named Measured. HockeyStack was named by fourteen of the fourteen models and Measured by thirteen and HockeyStack carries 29 labels and Measured 21, so the shares are not directly comparable.

HockeyStack

accepted challenger

Named in five categories this edition.

Measured

accepted challenger

Named in two categories this edition.

First-choice share5%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 17; printed, not drawn.
Labels2921A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HockeyStack 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 HockeyStack · Dreamdata vs Measured · Google Analytics 4 vs HockeyStack

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.
HockeyStackFirst choices, of fourteen modelsMeasured
Direct301 against HockeyStack
Paraphrase011 against HockeyStack
Comparative02
Budget-constrained001 against Measured
Scale-constrained02
Negative00
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, HockeyStack and Measured were named in the same answer twenty-five times, of the 98 answers naming HockeyStack and the 59 naming Measured. In those answers Measured took the first choice one time and HockeyStack one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where HockeyStack and Measured stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
HockeyStack Measured first choice named as an alternative argued againstblank: not namedEach cell is one answer, HockeyStack on the left and Measured on the right.

The direct prompt

The plain question, one answer per model, grouped by where HockeyStack and Measured stood in it.

HockeyStack first, Measured not the choice

3 of 14 modelsMeasured 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

6 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
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Muse Glimmer 30BDreamdata alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
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
GLM 4.7 FlashXDreamdata alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics

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 17
Measured0%#16 of 17
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
HockeyStack5%#5 of 17
Measured5%#6 of 17
The full mid-market standing →
Enterprise
HockeyStack leads by two points.
HockeyStack5%#8 of 17
Measured3%#10 of 17
The full enterprise standing →

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

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
Also compared

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.