Fake Ad Tech Stats
- Ad Fraud Guesstimate at $7-18B per Year
- MethBot Just Discovered
- MethBot Estimated $1.8B per Year of Fraud
- How Many More Ad Bot Frauds Have Been Undiscovered?
Fake Ad Tech Band-Aid
- Fraud Detection After the Fact
- Collect URL’s After the Fact
- Collect IP’s After the Fact
- Collect False Domains After the Fact
- Create Fake Blacklist After the Fact
- Block Bots After the Fact
Ad Fraud in Action
Types of Ad Fraud Bots
Basic – (Ad-Clicks Only) Identified through the difference between the number of Ad-Clicks charged by a specific ad platform, and the number of consolidated HTTP GET requests received for the unique URL that was designated as the ad-click target for the ad campaign running on the ad platform.
Enhanced – Detected through the correlation of a HTTP GET request received by an ad-server for a specific ad, with the AJAX-transmitted record of the web-browser load event. If the recorded load event is inconsistent with the standard load event model, the HTTP GET was made by a bot.
Highly Advanced – A significant attempt at impersonating human behavior, the bot views the page for an amount of time that would seem reasonable. Both mouse and keyboard events are triggered and the page might be scrolled up or down. However, using cluster analysis, the pseudo randomness is highly detectable.
Humanoid – Detected only through deep behavioral analysis with particular emphasis on, for example, recorded mouse/touch movements, which may have been artificially created using algorithms such as Bezier curves, B-splines, etc., with attempts to subsequently introduce measures of random behavior, mimicking natural variance.
Reality of Fake Ad Tech
Real Ad Tech Solutions
- Real Time Detection
- Real Time Dashboard
- Human Recognition Technology
- Definitive Behavioral Analysis
- Partner Accountability
- Generate Reports
sponsored by Execution Specialist