In the November 2026 Edition, 462 of the 504 answers collected in the two categories where Treasure Data holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.
Eighty-four of the eighty-four answers did not name Treasure Data; it was the first choice in zero. The first choices in those eighty-four answers, nineteen products in all, the eight most named:
Seventy-eight of the eighty-four answers did not name Treasure Data; it was the first choice in zero. The first choices in those seventy-eight answers, seventeen products in all, the eight most named:
Fifty-five of the eighty-four answers did not name Treasure Data; it was the first choice in three. The first choices in those fifty-five answers, eleven products in all, the eight most named:
Eighty-four of the eighty-four answers did not name Treasure Data; it was the first choice in zero. The first choices in those eighty-four answers, twenty-eight products in all, the eight most named:
Eighty-two of the eighty-four answers did not name Treasure Data; it was the first choice in zero. The first choices in those eighty-two answers, twenty-six products in all, the eight most named:
Seventy-nine of the eighty-four answers did not name Treasure Data; it was the first choice in zero. The first choices in those seventy-nine answers, twenty products in all, the eight most named:
A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled Treasure Data neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named Treasure Data only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from Treasure Data's side.
The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Treasure Data was named by a model, not endorsed by anyone.