Datasets sell the same way any digital product sells: a buyer needs to know what they're getting, what they can do with it, and why it's worth the price before they hand over a card number.

Price by value delivered, not by file size. A small, well-documented dataset that saves someone a week of research can sell for more than a massive raw export nobody can use without cleanup. Templates in the $29-$199 range and finished premium datasets in the $99-$999+ range both work because the buyer is paying for structure and time saved, not row count.

Every product page needs three things: a description of what's inside (fields, coverage, format), a license that says what the buyer can do with it, and proof it's current -- a last-verified or as-of date. Without that third piece, buyers assume the data is stale.

Distribution matters as much as the product itself. A dataset that's indexed, linked from a directory, and described with schema.org markup gets found by search and AI systems long after the initial launch push fades.