Download websites that use Podsights

About Podsights

Someone hears an advertisement in a podcast on a morning commute, thinks nothing of it, and buys from the brand two days later on a laptop. Connecting those two moments is the problem Podsights was built to solve. Audio has no click, no pixel inside the waveform and often no reliable way to know which episode a listener actually reached, so measurement had to be rebuilt around the one event that is observable, the arrival of that listener on the advertiser's website.

The consequence for our data is that the code sits on the advertiser's site and not the publisher's. A brand drops the tag on its own pages so the platform can match arriving visitors against exposure recorded on the listening side. Detecting Podsights on a domain therefore says something quite specific about the company behind it, that podcast advertising is a line in the media budget and that somebody internally is being asked to justify the spend. A general analytics tag is installed regardless of where traffic comes from, which is why it identifies no channel at all, and a measurement pixel like this one identifies exactly one.

Ownership belongs in the reading too. Podsights was first catalogued in 2017 as an independent measurement company and now sits with Spotify, whose interest in podcast attribution is not a neutral one, because Spotify also sells the advertising being measured. Anyone using the tag as a research signal should treat it as evidence of a relationship with that platform rather than as an unaffiliated analytics choice made by the site owner.

As of October 2026 we record the tag on 2 sites, and the number deserves a caveat instead of a confident interpretation. Attribution pixels are commonly loaded through a tag manager, fired only on conversion or thank you pages, or wrapped in a container a crawler never triggers, so a scan of public pages misses them as a matter of course. What the count gives you is a starting list, not a market size.

For a researcher the value of the downloadable set is comparative. Checking one domain tells you whether one brand runs podcast attribution. Having the matched set as a file, with the rest of each site's stack in the same row, lets you ask which kinds of businesses buy audio advertising, which commerce platforms they run on, and which analytics they pair the pixel with. A single domain lookup cannot answer a question shaped like that, because the answer only exists across the population.