GTM AI Index
Index Vendors › Forecastr · September 2026 Edition
1 category · Ranked

Forecastr

25Judge labels
3First choices
2Negative labels
8 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.
Best standing
4% in Attribution & MMM for small business buyers
Rank 20 of 124 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 14% of its 7 labels there were negative.
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 Forecastr 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%20 of 12414%7under 10 labels · led by Dreamdata at 29%

Movement

This is the first edition on this tier, so no move can be computed for Forecastr 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 Forecastr 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 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small01001
DeepSeek V4 Flash00101
Llama 4 Maverick10001
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX01001
MiniMax M2.501001

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
Direct3 labels1
Paraphrase1 labelNone
Comparative7 labels3not counted in share
Budget-constrained10 labels2
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 3 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.

“The best marketing attribution and marketing mix modeling platform for a company with a limited budget is Forecastr” Llama 4 Maverick · Attribution & MMM · budget prompt · first choice
“Forecastr offers a good balance of affordability and ease of use” GLM 4.7 FlashX · Attribution & MMM · budget prompt · alternative
“Consider Forecastr for MMM + a separate attribution tool” MiniMax M2.5 · Attribution & MMM · budget prompt · alternative
“lowest barrier among paid MMM tools” Grok 4.1 Fast · Attribution & MMM · budget 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.

“Zero transparency: No access to coefficients, diagnostic plots, or model code” Kimi K2 · Attribution & MMM · negative prompt · hard negative

Named alongside

The products named in the same answers as Forecastr, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Forecastr was named but was not.
ProductSame answerTook the first choice insteadHead to head
Triple Whale19 of 255Not in the top three
Cometly19 of 251Not in the top three
Google Meridian19 of 250Not in the top three
Google Analytics 416 of 257Not in the top three
Meta Robyn16 of 250Not in the top three
Ruler Analytics15 of 252Not in the top three
Northbeam14 of 250Not in the top three
Recast14 of 250Not in the top three
Dreamdata12 of 252Not in the top three
Windsor.ai12 of 252Not 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.
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 Forecastr'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 Forecastr, 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 forecastr.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.

Subscribe to the pack