Hightouch

Named in 59 judge labels across 2 categories by 6 of 6 models in the September 2026 Edition. 27 first choices, 4 negative labels. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Best standing

42% in CDP

Rank 1 of 35 products named in customer data platforms, endorsed leader. 5 of 6 models made it the first choice on the direct prompt; 8% of its 24 labels there were negative.

Standing by category

Every category where a model named Hightouch. 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
Customer data platforms	GTM data and infrastructure	42%	1 of 35	8%	24	endorsed leader
Data warehouse and reverse ETL for marketing	GTM data and infrastructure	40%	1 of 62	6%	35	endorsed leader

By model

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

Model	First choice	Alternative	Mention	Negative	Labels
Claude Opus 5	7	1	2	0	10
Claude Opus 4.8	5	2	2	0	9
GPT-6 Astra	7	2	0	2	11
GPT-5.6 Sol	5	3	0	1	9
Gemini 3.1 Pro	9	1	2	0	12
Perplexity Sonar Pro	3	4	0	1	8

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Choose Hightouch or Census if you already have a well-maintained data warehouse... (This is currently the most popular route for mid-market SaaS).” Gemini 3.1 Pro · CDP · paraphrase prompt · first choice

“Hightouch: Widely considered a leader in the composable space... strong features specifically for B2B account-level data and PLG motions.” Gemini 3.1 Pro · CDP · direct prompt · first choice

“Reverse ETL: warehouse → marketing tools | Hightouch Basic Reverse ETL | Its current free tier includes up to two active syncs” GPT-6 Astra · Warehouse & ETL · budget prompt · first choice

“prioritize platforms known for robust, marketer-friendly visual audience builders—such as Hightouch, Census, or Luca AI” Gemini 3.1 Pro · Warehouse & ETL · negative prompt · first choice

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.

“Be cautious if you need only a few simple syncs or have a tight budget.” GPT-6 Astra · Warehouse & ETL · negative prompt · soft negative

“be cautious if nobody owns warehouse performance and data modeling” GPT-6 Astra · CDP · negative prompt · soft negative

“Be cautious with Hightouch if your warehouse models are immature” Perplexity Sonar Pro · CDP · negative prompt · soft negative

“watch the jump from trial use to production use” GPT-5.6 Sol · Warehouse & ETL · negative prompt · soft negative

Names read as Hightouch

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

Hightouch Customer Studio 1Hightouch Free 1Hightouch Reverse ETL 1

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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 Hightouch, 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.