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GTM AI Index
Index › Products › HockeyStack · October 2026 Edition
5 categories · Ranked

HockeyStack

98Judge labels
12First choices
14Negative labels
14 / 14Models named it
5Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
5% in Attribution & MMM for enterprise buyers
Rank 5 of 123 in the mid-market standingaccepted challenger
3 of 14 models made it the first choice on the direct prompt; 7% of its 29 labels there were negative.
What the models named instead of HockeyStack →
By buyer segmentRead the same way at every buyer size.
In attribution & mmm · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named HockeyStack for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Attribution and marketing mix modelingMarketing5%5 of 1237%29accepted challenger▲+1Since September 2026: 3% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
Customer intelligence and data scienceGTM data and infrastructure2%11 of 1420%6under 10 labels · led by Amplitude at 18%=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Market intelligence platformsGTM data and infrastructure2%21 of 1720%2under 10 labels · led by Apollo.io at 17%
Web analyticsGTM data and infrastructure2%13 of 910%2under 10 labels · led by Google Analytics 4 at 57%
Revenue intelligence and forecastingSales0%59 of 760%1under 10 labels · led by Clari Copilot at 28%

Movement

Since September 2026, HockeyStack held within the floor in all five categories: no change cleared 11 points.

Best category · Attribution & MMM · by segment

Small business=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 4% in September 2026
Inside the floor by 11 pointsRank 10 → 11 of 108
Mid-market▲+1Since September 2026: 3% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 3% in September 2026
Inside the floor by 10 pointsRank 6 → 7 of 112
Enterprise▼−5Since September 2026: 11% → 6%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 11% in September 2026
Inside the floor by 6 pointsRank 3 → 6 of 101

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Market intelligence0%2%newNew since September 2026: not ranked then, 2% now.New this editionRank 21 of 172, unchanged
Web analytics0%2%newNew since September 2026: not ranked then, 2% now.New this editionRank 13 of 91, unchanged
Attribution & MMM3%4%▲+1Since September 2026: 3% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 6 → 5 of 123
Customer intel2%2%=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 12 → 11 of 142
Revenue intel0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 59 of 76, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated HockeyStack across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510001
GPT-5.4 mini01001
Gemini 3.5 Flash16007
Perplexity Sonar02103
Grok 4.1 Fast02204
Mistral Small02103
DeepSeek V4 Flash03115
Llama 4 Maverick01102
Qwen 3.7 Flash01001
Kimi K201012
GLM 4.7 FlashX10102
MiniMax M2.520103
GPT-6 Luna11002
Muse Glimmer 30B02204

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct43 labels9
Paraphrase23 labels3
Comparative12 labelsNone
Budget-constrained2 labelsNone
Scale-constrained12 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative98 labels in all, every segment counted; 12 of the 12 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“HockeyStack is highly favored for mid-market B2B teams because of its intuitive customer-journey visualization and ease of implementation.” Gemini 3.5 Flash · Web analytics · paraphrase prompt · first choice
“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 · Attribution & MMM · direct prompt · first choice
“HockeyStack offers better value and faster implementation for mid-market companies.” MiniMax M2.5 · Attribution & MMM · direct prompt · first choice
“I'd start with HockeyStack—but only if its Enterprise pricing works for you” GPT-6 Luna · Attribution & MMM · direct prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“exited the attribution market in April 2026 ... so it's no longer recommended for attribution-only needs.” Kimi K2 · Attribution & MMM · direct prompt · hard negative
“Pivoting away from pure attribution; now positioned as a broader GTM AI platform (~$2,200+/month)” DeepSeek V4 Flash · Attribution & MMM · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as HockeyStack, over the 98 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and HockeyStack was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Adobe Marketo Measure31 of 984Not among the top eight
Northbeam29 of 982Not among the top eight
HubSpot Marketing Hub29 of 980Not among the top eight
Factors.ai26 of 985Not among the top eight
Ruler Analytics25 of 982Not among the top eight
Analytic Partners24 of 984Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named HockeyStack. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 98 of the 98 answers that named HockeyStack and are not a share of its labels.

Domains cited

cometly.com59
improvado.io54
hockeystack.comYour site48
factors.ai37
guideflow.com34
usermaven.com34
admetrics.io30
mcpanalytics.ai29
segmentstream.com29
thecmo.com29

335 of the 383 domain citations in answers naming HockeyStack came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

hockeystack.com is not in Google's top ten for any of the category's searches. In the answers, HockeyStack takes 5% of first choices and Dreamdata takes 27%.
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In search

Google, US estimates
Position for “marketing attribution and marketing mix modeling platform”
–
not in the top ten
Position for “best marketing attribution and marketing mix modeling platform”
–
not in the top ten
Searches for its name, Google
3,600 a month (“hockeystack”)
AI search demand for its name, est.
46 a month
Organic visits to its site
about 3,061 a month
Searches its site ranks for
690 · 67 in the top three
Sites linking to it
1,634
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
84 ads · 46 text, 24 video, 14 image · 15 shown in the last 30 days

First shown September 2023, as Hockeystack, verified. Ads started 2025-10 to 2026-09: 74 in the year, 10 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
5%
rank 5 of 123 in Attribution & MMM
Segment leader
27%
Dreamdata
First choices
12 across its categories
Named in
98 answers
Its own site cited
in 98 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

ShowHide
Addresses on hockeystack.com
770
subdomains included
Content
292
counted in the table below
Documentation
336
Product · Integration
1 · 37
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog122undated
Template or tool38undated
Comparison2902026-04-15
Report or ebook2622026-07-22
Case study24undated
Podcast or video24undated
Conference or event1902025-05-13
Glossary or explainer712026-07-20
Webinar or virtual event2undated
News or press1undated

Events in person

Last twelve months

As the event pages on hockeystack.com state them, read September 28, 2026.

How it is countedHide how it is counted

Every page hockeystack.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as HockeyStack

What the judge wrote, as written, with how often. The vendor table decides that these count as HockeyStack; a claim can dispute any of them.
Hockeystack 2HockeyStack Enterprise 1

Follow HockeyStack

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

HockeyStack is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
AI GTM - B2B Revenue Data Intelligence Platform
For
GTM and Revenue Operations (RevOps) teams
Price stated
Custom enterprise pricing hockeystack.com
Certifications
GDPRCCPA
Hosting
Frankfurt, Germany
Customers named
8x8DicePlanhatActiveCampaignN8NRakutenJustworksFirstup
Not stated on the pages read
Starting price, free plan or trial, integrations

What HockeyStack's own pages state, read September 28, 2026: hockeystack.com, hockeystack.com/pricing, hockeystack.com/platform-overview, hockeystack.com/customers, hockeystack.com/integrations. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when HockeyStack's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as HockeyStack, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for HockeyStack by email, built from the raw record of the edition. It shows:

  • where HockeyStack is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name HockeyStack, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at hockeystack.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.