Download websites that use Sovrn

An advertising tag is one of the few things on a web page that says something about money rather than about engineering. Sovrn sits in the Advertising category, and finding it in a page's source means the operator has chosen to sell inventory through an exchange instead of selling it directly, running a subscription, or carrying no advertising at all. For anyone mapping the commercial side of the web, that decision is more informative than the content management system underneath it.

Sovrn Holdings has offered the product since 2014, and the integration is an ordinary JavaScript tag that loads at render time under a Proprietary licence. Detection is straightforward when the tag ships in the delivered HTML, and unreliable when a publisher routes the same demand through a wrapper, a header bidding container, or a managed ad service that hides its partners. Sites in the second group are real customers we will not count. Our figure is a floor rather than a census, and the shape of the miss is not random, because larger publishers with sophisticated ad operations are the ones more likely to be invisible to a source level scan.

As of October 2026 we detect Sovrn on 597 sites. The population reached by an independent publisher monetisation platform is characteristically long tailed, made of blogs, niche magazines and hobby communities rather than of household media brands, so a list of those domains reads as a directory of small independent publishers who have already proved they will put commercial code on their own pages.

Who wants that directory? Competing supply side platforms and ad networks, for whom a domain running a rival exchange is a qualified prospect rather than a cold one. Analysts pricing the independent publisher market, who need a denominator before they can size anything. Advertisers building inclusion and exclusion lists at the domain level. And security or brand safety teams who want to know which third parties execute inside their own supply chain.

A per-domain lookup answers the question one site at a time, which is fine if you already know which sites you care about. The dataset answers the inverse question, and the inverse question is the hard one: given the technology, produce every domain that carries it, with the fields you need to segment the result. Because the checks re-run continuously, the same list also supports a difference view over time, showing which publishers picked the tag up and which dropped it. Adoption and churn in an advertising category are usually the signal people were looking for in the first place.