Digital ad fraud costs businesses billions of dollars annually, depleting advertiser budgets and limiting the effectiveness of ads.
We already discussed about what is Mobile Ad Fraud and how does it work. Look at the previous session for the basics.
Here you will learn;
It's critical for marketers to have effective preventive techniques that can assist them distinguish between legitimate and fraudulent clicks. In this session, we'll discuss how to detect mobile ad fraud.
The average amount of time between clicking an ad and being prompted to open an app is known as the "click to instal time." It's an excellent tool for identifying scammers who stage phoney last clicks. Keep a watch out for the following signs while utilising CTIT analysis: CTITs under 10 seconds - possibly an instal hijacking indicator CTITs that appear 24 to 7 days after installation could be a symptom of click flooding.
New installations are common, but a sharp increase in the number of new devices could be a sign of Device ID theft. Before reinstalling and deleting an app once more, fraudsters imitate in-app activity, create phone installations, and reset the device ID of a mobile phone or tablet. The installation will then be added to the user database as a new user.
Analyzing sensor data from devices, such as device usage and typing speed, and comparing it to typical user tendencies is known as biometric behaviour analytics. It works well for distinguishing real users from fraudsters.
While every marketer strives for higher conversion rates, an unexpected surge could be problematic. Because of this, marketers should assess their anticipated conversion rates at various points throughout the purchasing process. They will have information that they can utilise to differentiate between legitimate conversions and fraudulent actions.