Download websites that use Yieldify

About Yieldify

Overlays and exit intent messages are the part of a website that visitors notice and cannot name. Yieldify builds them, and the product has been on sale since 2013, which places it in the first wave of tools offering behavioural targeting to ecommerce teams as a hosted service rather than as something in house developers would write.

Age matters here more than usual. A Personalisation product on sale since 2013 has accumulated a long customer history, while a technology index only ever sees the present tense. As of October 2026 the fingerprint stands at 1 in our data. A count that small has two plausible explanations, and the honest answer is that a single snapshot cannot separate them. Either the tag has genuinely receded from the public web, or the tag is loading in a way our crawler does not capture.

The second explanation is not a hedge. Marketing tags of this kind are usually deployed through a tag manager, which means the vendor script is fetched at runtime by another script and never appears in the served HTML at all. Detection that reads the initial document will miss those sites completely. Vendors in Personalisation are a hard case for fingerprinting, and any count of them, ours included, deserves to be treated as a lower bound rather than a measurement.

What survives the caveat is still useful. A confirmed detection means the script was present in a form we could actually see, which is a stronger claim than an inferred one. Our records name Epsilon against the fingerprint, and the code is Proprietary software bought by teams who have already decided that conversion work is worth a line item, so a domain on the list is a qualified commercial signal even when the list is short. The web address we hold for the vendor now leads to a product page belonging to a larger marketing group, so the vendor field is best read as the origin of the script rather than as a current corporate relationship.

The reason to want the export rather than a lookup is trend and adjacency. Checking one domain tells you what that retailer runs today. A dated export, refreshed and compared against an earlier one, tells you whether an installed base is growing or thinning, which competing tags appear on the same domains, and which retailers changed personalisation vendor between two dates. For a category where suppliers rarely publish customer counts and where churn is invisible from the outside, an independent time series is the thing worth paying for, and a lower bound measured the same way every time still moves in the right direction.