GTM AI Index

Index › Vendors › HubSpot Marketing Attribution · September 2026 Edition

HubSpot · 1 category · Named, not ranked

HubSpot Marketing Attribution

3Judge labels

0First choices

3Negative labels

3 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. HubSpot Marketing Attribution was named 2 times in Attribution & MMM, where Dreamdata led with 29%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business95 of 118

under the label threshold

Mid-market119 of 124

under the label threshold

Enterprisenot named

No model named it for this buyer.

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 HubSpot Marketing Attribution 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Attribution and marketing mix modeling	Marketing	0%	119 of 124	100%	2	under 10 labels · led by Dreamdata at 29%

Movement

This is the first edition on this tier, so no move can be computed for HubSpot Marketing Attribution yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated HubSpot Marketing Attribution across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	1	1
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	1	1
MiniMax M2.5	0	0

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative3 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“Limited multi-touch (first-touch bias...), poor ad integration ... Data silos and inflexible source tracking frustrate B2B users.” Grok 4.1 Fast · Attribution & MMM · negative prompt · soft negative

“Limited automation in lower-priced tiers; High pricing that excludes small businesses” GLM 4.7 FlashX · Attribution & MMM · negative prompt · soft negative

Named alongside

The products named in the same answers as HubSpot Marketing Attribution, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and HubSpot Marketing Attribution was named but was not.

ProductSame answerTook the first choice insteadHead to head

Dreamdata3 of 31Not in the top three

Adobe Analytics3 of 30Not in the top three

LeadsRx3 of 30Not in the top three

Northbeam3 of 30Not in the top three

Rockerbox3 of 30Not in the top three

Triple Whale3 of 30Not in the top three

Google Analytics 42 of 31Not in the top three

Cometly2 of 30Not in the top three

Google Analytics 3602 of 30Not in the top three

Google Meridian2 of 30Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

The company

HubSpot is the company behind HubSpot Marketing Attribution.

Website: hubspot.com
Headquarters: Cambridge, United States
Founded: 2006
Employees: about 8,246 (2024)
Ownership: Public, HUBS on New York Stock Exchange

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase

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 HubSpot Marketing Attribution'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 HubSpot Marketing Attribution, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at hubspot.net is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.