Fraud metrics show key indicators of fraudulent attacks, for example, short click to install times, clicks from suspicious IPs, etc.
Metrics are organized into the following groups:
Based on these groups, we built Combined metrics comes in handy when you first analyze to detect strict, confident and soft fraud.
All indicators are available under the Basic or Premium plan the next day after the user has installed an app or visited your website. See the most accurate data on the third day.
Combined metrics are convenient at the initial stage of fraud-monitoring, allow to estimate indicators in general and, if necessary, proceed to the analysis of specific metrics.
Combined metrics for mobile traffic include the following:
Combined fraud for mobile traffic
Combined metrics for web traffic include the following:
Combined fraud for web traffic
A detailed description of these metrics is given in the Selectors section
The type of combined metrics (strict, confident, soft) depends on the detected fraud indicators. Strict fraud is devices with precise fraud indicators, for example, Suspicious Devices. While Confident and Soft fraud will get more devices, including those metrics that do not always guarantee 100% frauds.
Metrics, that allow you to detect fraud from the hardware properties:
Hardware fraud for mobile traffic includes the following metrics:
Hardware fraud for web traffic includes the following metrics:
A detailed description of these metrics is given in the Selectors section (Premium metrics description is not available for the Basic plan)
Metrics that indicate fraud in the stage of user interaction with ads and until the app install or website visit. Based on the abnormal arrangement of clicks and impressions, we can conclude that we are dealing with a fraudulent device, or that the advertising partner is trying to cheat.
Click metrics are strongly intercorrelated, and abnormal indicators for one of the metrics lead to aggravation of the others.
Click metrics for mobile traffic include the following:
Click metrics for web traffic include the following:
A detailed description of these metrics is given in the Selectors section (Premium metrics description is not available for the Basic plan)
Metrics that allow you to recognize a fraud by user behavior after installs or website visit: based on the use of a fake account or abnormal behavior at launches, purchases, and other in-app events.
In-app fraud metrics for mobile traffic include the following:
In-app fraud metrics for web traffic include the following:
A detailed description of these metrics is given in the Selectors section ( only for users with premium access to Fraud Scanner)
