Adobe Analytics

Named in 5 judge labels across 2 categories by 4 of 6 models in the September 2026 Edition. 0 first choices, 3 negative labels. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Standing

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Adobe Analytics was named 5 times in Attribution & MMM and 1 other category, where Dreamdata led with 30%. The labels and the evidence are below, counted exactly.

Standing by category

Every category where a model named Adobe Analytics. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Vertical	First choices	Rank	Negative rate	Labels	Quadrant
Attribution and marketing mix modeling	Marketing	0%	59 of 82	33%	3	under 10 labels · led by Dreamdata at 30%
Product analytics	GTM data and infrastructure	0%	31 of 32	100%	2	under 10 labels · led by Amplitude at 38%

By model

How each model treated Adobe Analytics across every prompt where it was named. Six models, six prompts per category.

Model	Mention	Negative	Labels
Claude Opus 5	1	0	1
Claude Opus 4.8	0	0	0
GPT-6 Astra	0	0	0
GPT-5.6 Sol	0	1	1
Gemini 3.1 Pro	0	1	1
Perplexity Sonar Pro	1	1	2

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.

“Usually avoid Adobe Analytics ... unless their broader suite is central to your strategy.” GPT-5.6 Sol · Product analytics · negative prompt · hard negative

“Be cautious with enterprise-heavy systems like Adobe Analytics or Adobe Marketo Measure/Bizible if you do not have the team, timeline, or technical resources” Perplexity Sonar Pro · Attribution & MMM · negative prompt · soft negative

“they are incredibly complex and expensive. Startups or mid-sized teams should avoid them” Gemini 3.1 Pro · Product analytics · negative prompt · soft negative

Names read as Adobe Analytics

What the judge wrote, as written, with how often. The vendor table decides that these count as Adobe Analytics; a claim can dispute any of them.

Every label used the canonical name.

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

It does not get any change to labels, shares or quadrants, any preview, or any say over which quotes appear. Sponsorship is separate: a sponsor funds categories or buyer dimensions and is named on what it funded, and the rules are the same for every sponsor.