Download websites that use Woopra

About Woopra

One detail in our record deserves attention before the number does. The product carries its own brand, and the vendor recorded against it is Woopra, a value our catalogue supplies rather than one the product's own site confirms. Ownership of an analytics tool changes how it gets sold and how its install base behaves, so the vendor column here is a field to check rather than a settled fact, and the footprint should be read on its own terms.

Woopra is filed as an Analytics product, offered on a Freemium basis, with a history going back to 2008. As of October 2026 the tag is visible on 93 sites. A Freemium model matters for interpretation, because a footprint that includes a free tier mixes paying customers with trials, side projects and installations that were set up once and never converted into anything.

Analytics tags are also the easiest thing in a stack to leave behind. Removing a tracking snippet requires somebody to notice that it is still there, and on a large site nobody usually does, so a live tag proves that an installation happened and proves very little about whether anyone still logs in to read the reports. What we publish is a count of pages carrying the marker at fetch time. Set against a vendor's own customer numbers it will disagree in both directions, running high where abandoned tags linger and low where the script is loaded through a tag manager or proxied behind the site's own domain.

For a competing analytics vendor the value is obvious and slightly unkind. A footprint like this one is a displacement list, and every site on it has already demonstrated appetite for event level customer analytics rather than simple page counters, which removes the hardest part of the pitch. For an analyst the same file supports a different question, which is what actually happens to an install base as a market matures. Footprints of established analytics tools rarely collapse, they erode, and erosion is measurable only with the full set captured at more than one date.

The time dimension is precisely what a per domain lookup cannot supply. Checking a domain answers a yes or no question about that domain. The export answers questions about a population, what it runs alongside, where it concentrates and how large it is, and a series of dated exports answers questions about direction, which is where the interesting part of a long lived product's story sits.