How to Understand Your App Fraud Health Results

What is an App Fraud Health Assessment?

To promote awareness into this global costly phenomenon known as mobile ad fraud, we are offering a previously paid feature of our ad fraud solutions suite, free for the general public after free signup. This App Fraud Health Assessment will give user’s a free insight into how their app is performing with regards to mobile ads, and what is their risk level to mobile ad fraud. 

Tell me More About the Survey

The survey is integral to calculating unique results about your app’s mobile ad performance, and risk level to ad fraud. We need to have information to give the most accurate App Fraud Health Assessment. We require information such as:

• Which attribution tool your app uses
• Does your app accept incentivized traffic
• The ad fraud solution your app uses

After the survey is complete, the results will be calculated and emailed to you within 24 hours. The more accurate your answers are, the greater the benefit of the insight will be. 

What do These Results Mean?

The best way to understand these results is to book a free consultation. During this demo, you can discuss your App Fraud Health Results and how to best protect your campaigns from mobile ad fraud. However, if you’d like to understand your app fraud health results on your own, here is a breakdown of their meaning:

• Fraud Risk Level – the current level (low, medium or high) which your app is susceptible to ad fraud. This can be changed by using a 3rd party ad fraud solution provider, such as Interceptd, who will implement campaign changes to identify and block future ad fraud. 
• Redirection (Avr) – the average number of times a user is redirected (a.k.a campaign is re-brokered) between first ad click, to landing upon the app’s marketplace. A redirection average of 1-3 is good, 4 and above is concerning. The higher the number, the greater the risk of ad fraud.
• Redirection (Max) – the maximum number of redirections of any campaign. Generally, the maximum should not exceed 3 (or 4 for transparent affiliate advertising). Again, the greater the number, the greater the risk of ad fraud. 
• CPI (Avr) – the average Cost Per Install observed among all campaigns.
• CPI (Max) – the maximum Cost Per Install observed among all campaigns.
• CPI (Min) – the minimum Cost Per Install observed among all campaigns.
• CPI (Max – Min) – the range between maximum to minimum CPI.

Two Apps are not the Same

Each campaign and app is different. For example, you might exclusively use affiliates that share a transparent list of their publishers and advertising networks. This will alleviate any concern due to the high maximum and the average number of redirections. Thus, these results are best deciphered through an Interceptd consultant, who is trained in merging the unique context of user’s apps and their mobile ad campaigns with their ad fraud solutions, ad fraud results and their App Fraud Health Assessment results.

If you’d like to discuss your App Fraud Health Assessment results with one of our friendly consultants, or discuss ways to identify and block ad fraud in your mobile ad campaigns, click here to book a free consultation.