Mobile Ad Fraud Types
Click Flooding (CF)
Click Flooding Definition
Click flooding is one of the types of mobile ad fraud, where a network simulates several fake clicks from real devices in hopes of getting the attribution of an organic install. Most of the installs have long click-to-install times. Since the installs are organic, the ad budget is wasted on highly engaged, legitimate users who would be acquired organically.
What is Click Flooding?
As an advertiser or mobile expert, it is crucial to analyze your high-value user’s behavior and create a chart of the normal distribution of click flooding CTIT.
In a normal distribution, advertisers should expect to see the installs in 1-2 mins after the users click the ads. In some cases, it is still possible to see the installs in 2 hours or one day. It has happened because users wait to download the app to connect the WIFI, or they forget to download the app until they see different ads or check on the stores. However, experts determine their normal distribution channel of CTIT to prevent the click flooding.
How to stop Click Flooding?
Mobile Ad Fraud detection and fraud prevention tools like Interceptd automatically block networks or publishers who attack the data with click spamming technic. To identify the publishers who steal organic traffic from the advertisers.
What do advertisers save to stop the Click Flooding?
- Identify the best channels to spend their marketing budget.
- Make sure if their MMP (Mobile Measurement Platform) is enough to combat mobile ad fraud.
- Increase the profitability of their app
Reading Time: 4 minutes Invalid traffic is defined as traffic that is not generated from a real user or from genuine interest. Fake traffic might be another way to conceptualize it. […]
Reading Time: 9 minutes Exactly how does one make it in today’s competitive and ever-changing business landscape? The world is more connected, accessible and idea-saturated than ever before. Possibilities seem infinite, […]
Reading Time: 6 minutes Non-human or bot traffic is awesome. If you’re a fraudster. Armed with basic tools, such as an amateur understanding of various programming languages, perhaps a small rinky-dink […]