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

Measured vs HockeyStack

Zero of twelve models named Measured first on the direct prompt; one named HockeyStack. Measured was named by eleven of the twelve models and HockeyStack by eleven and Measured carries 24 labels and HockeyStack 29, so the shares are not directly comparable.

Measured

accepted challenger

Named in one category this edition.

HockeyStack

accepted challenger

Named in three categories this edition.

First-choice share4%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 22; printed, not drawn.
Labels2429A 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 eleven of the twelve direct answers. Dreamdata vs Measured · Dreamdata vs HockeyStack · Google Analytics 4 vs Measured

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
MeasuredFirst choices, of twelve modelsHockeyStack
Direct011 against Measured
Paraphrase011 against Measured
Comparative10
Budget-constrained00
Scale-constrained30
Negative003 against HockeyStack
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Measured and HockeyStack were named in the same answer thirty-three times, of the 70 answers naming Measured and the 81 naming HockeyStack. In those answers HockeyStack took the first choice two times and Measured four.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Measured and HockeyStack 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
Measured HockeyStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Measured on the left and HockeyStack on the right.

The direct prompt

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

HockeyStack first, Measured not the choice

1 of 12 modelsMeasured was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure
Perplexity SonarDreamdata alternatives: Factors.ai, HockeyStack
Grok 4.1 FastDreamdata alternatives: HockeyStack, Recast, RevSure
Mistral SmallDreamdata, Recast alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics
Kimi K2Dreamdata alternatives: Factors.ai, HockeyStack, Recast, Rockerbox
GLM 4.7 FlashXDreamdata, SegmentStream alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Dreamdata alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam
GPT-5.4 miniDreamdata alternatives: Adobe Marketo Measure, CaliberMind, MixModeler
Llama 4 MaverickImprovado alternatives: Dreamdata, Rockerbox
Qwen 3.7 FlashRockerbox alternatives: Alviss AI, Recast
MiniMax M2.5Dreamdata, Recast, SegmentStream alternatives: Analytic Edge, HubSpot Marketing Hub

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 four points.
HockeyStack4%#9 of 18
Measured0%#17 of 18
The full small business standing →
Mid-marketThe figures above
The order flips: Measured leads at mid-market.
Measured4%#4 of 22
HockeyStack3%#6 of 22
The full mid-market standing →
Enterprise
The order flips: HockeyStack leads at enterprise.
HockeyStack11%#3 of 21
Measured9%#4 of 21
The full enterprise standing →

What the models said about Measured

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“Avoid for B2B mid-market: Enterprise heavies (Adobe Mix Modeler, Measured: custom/$50K+)” Grok 4.1 Fast · direct prompt · hard negative
“strong but more enterprise-oriented and stitched-together; pricing scales higher” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Tier 2 | Modern / SaaS-Enabled UMM & Causal MMM | Recast, Measured, Lifesight, Mutinex, LiftLab, Haus” Gemini 3.5 Flash · scale prompt · first choice
“Measured | Enterprise hybrid; causal MMM + MTA ... Finance-friendly; geo-holdouts.” Grok 4.1 Fast · scale prompt · first choice
“Measured | Incrementality-first, finance-friendly, enterprise integrations” Kimi K2 · scale 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. Six of six in this category shown.

“Verdict: Avoid for any situation requiring accountability or regulatory compliance” Mistral Small · negative prompt · hard negative
“Multi-Touch Tools (e.g., Triple Whale, Northbeam, Rockerbox, HockeyStack): Frequent "trust issues"” Grok 4.1 Fast · negative prompt · soft negative
“Attribution isn't the core product ... so attribution depth is limited.” DeepSeek V4 Flash · negative prompt · soft negative
“Dreamdata or HockeyStack (attribution) will deliver more practical value faster” DeepSeek V4 Flash · direct prompt · first choice
“is Dreamdata, HockeyStack, or Factors.ai, according to the search results” Llama 4 Maverick · paraphrase prompt · first choice
“Alternatives if needed: HockeyStack (~$25K-$30K/year, stronger on AI/predictive GTM intelligence but pricier” Grok 4.1 Fast · paraphrase prompt · alternative
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.