Posted 23 May, 2017
Even though the mobile boom is growing slower in the United States, the worldwide mobile market is booming. Due to developing countries such as India, Brazil and China the worldwide market will continue to grow rapidly.
According to MediaPost these countries will bring more than 400 million new people to the web. Now for companies to make money with an App, the most important component is — the user.
The more users your app has the more money you can make. However, the user acquisition process has its pitfalls where fraudsters can harm your business heavily.
Click Spam is a known, but complex attribution problem in the performance marketing industry. Described in one sentence, Click Spam means that a fraudster uses an app (e.g. Flashlight App) to steal organic users and attribute an app install to himself in order to receive CPI Payout commissions.
We decided to explain this complex problem step by step with an example:
This type of fraud is hard to detect and needs detailed investigations. It can be very tedious and error prone if you are doing it manually.
When Click Spam occurs, analyzing session time will be of great help. Session Time describes the time between a click and the install.
You should notice conversions that are not coming in within the first hour as normally expected. The traffic is rather randomly distributed throughout the day or throughout multiple days. The results are fake clicks being attributed to conversions at random times.
In the picture below you can see the difference between fraudulent and good traffic inside of FraudShield.
The system identifies click spam patterns and analyzes the behavior of the Session Time Distribution.
If you are interested in finding out more about Click Spam, write us an e-mail.
We are excited to hear from you.