CLICKTIME PLAY 4 LEVEL 12 INSTALL
This behavior indicates a strong correlation between the ad click and the install time.Ĭlick spam, however, shows no such correlation between the spammed click and user-initiated install. Based on this research, we determined that for legitimate traffic, more than 85% of installs were recorded within the first hour of click time. We developed our method of filtering by reviewing statistical data and analyzing legitimate and actual fraudulent activity in real-time. Once we have eliminated this type of high-frequency click spam, we can apply the second part of the filter - the Distribution Outlier - to detect the remaining click spam. This allows us to correctly attribute the install to the next legitimate click or as an organic user. If we recognize any high-volume click patterns, we remove the clicks from consideration for attribution.
When an install occurs, Adjust checks all eligible clicks within the relevant attribution window. In doing so, they hope to produce a “last click” that is relatively close to the install. In order to try and steal attribution for installs they didn’t drive, fraudsters will repeatedly send clicks on behalf of users in recurring intervals. The second step is to reject attributions using distribution outlier filtering. The first step is to disqualify high-frequency clicks in other words, engagements that we see too many duplicates of. How does Adjust identify click spam?Īdjust’s method for rejecting attribution from click spam is based on the click-to-install-time distribution. Another common example is when an app invisibly loads and clicks ads in the background. It can range from traffic sources that send views as clicks to servers that send catalogs of artificial clicks.
Ultimately, not all click spam is premeditated fraud. This way, these campaigns appear to generate high volumes of valuable users.
For fraudsters, the goal of click spamming is to poach attributions from your organic users - that is, to have a certain number of your organic installs falsely attributed to a fraudulent campaign. FAQs What is click spam?Īt Adjust, we define click spam as illegitimate click activity.
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Rejected Reattributions: Distribution Outlier (RR DO)įor installs where attribution was rejected for click spamming, Adjust will either reward attribution to the authentic source found through Adjust’s attribution methodology, or, if no other source is found, to your Organic tracker.įor information on the fraud prevention KPIs and how to read your Statistics, see our fraud prevention reporting article.Rejected Reattributions: Too Many Engagements (RR TME).Reattributions rejected for click spamming will appear in one of the following columns: Rejected Installs: Distribution Outlier (RI DO).Rejected Installs: Too Many Engagements (RI TME).Navigate to your app and select your app options caret (^)Īttributions rejected for click spamming will appear in one of the following columns:.To view your statistics, follow these steps in the dashboard.
Standard level: Intended for trials and testing purposes only.
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