GTM AI Index
Index Vendors › MixModeler · September 2026 Edition
1 category · Named, not ranked

MixModeler

11Judge labels
6First choices
0Negative labels
7 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
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. MixModeler was named 5 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.
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 MixModeler 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 rateLabelsQuadrant
Attribution and marketing mix modelingMarketing1%18 of 1240%5under 10 labels · led by Dreamdata at 29%

Movement

This is the first edition on this tier, so no move can be computed for MixModeler 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 MixModeler across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.510001

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
Direct4 labels1
Paraphrase4 labels2
Comparative0 labelsNone
Budget-constrained3 labels3
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative11 labels in all, every segment counted; 6 of the 6 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.

“MixModeler for MMM (affordable, easy to implement)” MiniMax M2.5 · Attribution & MMM · paraphrase prompt · first choice
“If budget is tight and you lack analytics staff, MixModeler offers exceptional value” DeepSeek V4 Flash · Attribution & MMM · paraphrase prompt · alternative
“Choose MixModeler if you want the best value with free tier option” Mistral Small · Attribution & MMM · direct prompt · alternative
“MixModeler is a strong specialized MMM option” GPT-5.4 mini · Attribution & MMM · direct prompt · alternative

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.

No model argued against it.

Named alongside

The products named in the same answers as MixModeler, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MixModeler was named but was not.
ProductSame answerTook the first choice insteadHead to head
Dreamdata8 of 114Not in the top three
HubSpot Marketing Hub8 of 111Not in the top three
Recast7 of 112Not in the top three
Adobe Marketo Measure5 of 110Not in the top three
Northbeam5 of 110Not in the top three
Ruler Analytics5 of 110Not in the top three
SegmentStream4 of 111Not in the top three
Cometly4 of 110Not in the top three
Google Analytics 44 of 110Not in the top three
Google Meridian4 of 110Not 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.

What carried it into the answer

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

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 11 answers that named MixModeler and are not a share of its labels.

Domains cited

g2.com2
capterra.com1

Three of the three domain citations in answers naming MixModeler came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as MixModeler

What the judge wrote, as written, with how often. The vendor table decides that these count as MixModeler; a claim can dispute any of them.
MixModeler (by Meta) 1
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 MixModeler'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 MixModeler, 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 mixmodeler.com 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.

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