Rockerbox

Named in 14 judge labels across 1 category by 6 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.

Best standing

0% in Attribution & MMM

Rank 12 of 82 products named in attribution and marketing mix modeling, accepted challenger. 0 of 6 models made it the first choice on the direct prompt; 21% of its 14 labels there were negative.

Standing by category

Every category where a model named Rockerbox. 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%	12 of 82	21%	14	accepted challenger

By model

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

Model	Alternative	Mention	Negative	Labels
Claude Opus 5	1	2	0	3
Claude Opus 4.8	0	2	0	2
GPT-6 Astra	2	0	1	3
GPT-5.6 Sol	1	0	1	2
Gemini 3.1 Pro	0	1	1	2
Perplexity Sonar Pro	1	1	0	2

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Rockerbox: modular measurement and a strong centralized data and warehouse foundation.” GPT-5.6 Sol · Attribution & MMM · comparative prompt · alternative

“Choose Rockerbox if you need enterprise-grade MMM, MTA, and incrementality together.” Perplexity Sonar Pro · Attribution & MMM · comparative prompt · alternative

“Particularly worth evaluating when data reconciliation and channel breadth matter.” GPT-6 Astra · Attribution & MMM · comparative prompt · alternative

“Offers attribution, MMM, and incrementality testing on a shared data foundation.” GPT-6 Astra · Attribution & MMM · scale 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.

“publishes no dollar price on its plans page. I would not call it budget-friendly without a written quote.” GPT-6 Astra · Attribution & MMM · budget prompt · soft negative

“Caution level: Moderate. ... do not assume that stitching first-party clicks produces incrementality.” GPT-5.6 Sol · Attribution & MMM · negative prompt · soft negative

“While their enterprise tier is expensive, they offer a "Rockerbox for Shopify" tier aimed at SMBs” Gemini 3.1 Pro · Attribution & MMM · budget prompt · soft negative

Names read as Rockerbox

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

Every label used the canonical name.

Is this your product?

Claim this page

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 Rockerbox, 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.