Articles about adblock monitoring, filter lists, and ad revenue recovery.
The question publishers ask most often is some version of: "What percentage of my visitors use ad blockers?" The honest answer is that the industry-wide figure doesn't tell you much. A developer tools site and a recipe blog are not the same audience, and their blocker rates are not even close.
There are three common ways to detect ad blockers in the browser: bait elements, request interception, and script load checks. Each has real trade-offs. This post covers all three with working code, explains where each breaks down, and is honest about when the DIY approach stops being worth the e...
If you've searched for ways to measure your audience more accurately, you've probably landed on the phrase "adblocker-proof analytics." It gets used to mean two very different things, and confusing them leads to solving the wrong problem.
If you run ads on your site, you're almost certainly missing a chunk of your audience in every report you look at. Not because your analytics is misconfigured, but because the visitors who use adblockers are, by definition, the ones most likely to also block Google Analytics, Plausible, Matomo, o...
You noticed a dip in ad revenue. Maybe an advertiser flagged unusual delivery numbers. Maybe someone mentioned they couldn't see your ads. You dug into it and found the culprit: your domain is sitting in a filter list, getting blocked by adblockers across thousands of browsers.