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Scoring settings
Scoring settings
Alan K. avatar
Written by Alan K.
Updated over 2 years ago

ADEX uses many different parameters to check traffic quality.

Now our platform provides you an opportunity to customize some scoring settings according to your preferences and business needs.

By default, alert settings are separated to Hidden ads, Fake browser and Location fraud (you can check more information about every reason in the article). Warning traffic is suspicious traffic, which is not necessarily fraud and may need additional examination. Live traffic from real users with no mentioned patterns is considered as good.

In “Scoring settings” section you may change the default scoring settings, which are:

  1. IFrame (considered as good by default) is a common type of traffic, which is not necessarily fraudulent. However, in some cases iFrames can be used by fraudsters to fool you.

  2. Small window size (considered as alert by default). We detect this type of traffic as fraudulent, as the users actually cannot see the ads in small windows.

  3. Time zone difference (considered as warning by default) is usually sensitive for those advertisers, who target any particular region.

  4. Proxy and VPN (considered as good by default) are usually used by real users, so it’s not necessarily fraud (for example, VPN allows access to restricted content). However, if you or an advertiser don’t want to receive VPN or proxy traffic for any reasons, the scoring settings for this type of traffic can be changed to warning or alert.

More information about every traffic type can be found on “Scoring settings” page accordingly.

Some Advertisers may be sensitive to any mentioned types of traffic, so in case you need to add additional alert or, vice versa, remove any traffic type from being alerted, you can change the default settings. To do it, go to “Scoring settings” section and choose the required score.

Please, note, that this way you change the default scoring settings of ADEX, which may cause unpredictable results in traffic filtering.

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