Anti-fraud
On the Anti-fraud report, you can see and analyse data about your traffic fraud check by 24Metrics. This article describes what you can view in the Anti-fraud report.
Filters
In the Anti-fraud slice, you can filter data by the period (the default one is the last seven days), application, partner, country, and App/SDK version.
🔎 In the Application filter, you can specify App Version and SDK Version.
Also, you can group data by Partner ID, App ID, and date.
Table
The table contains the following columns:
Partner ID: the ID of the partner in Affise MMP.
Partner Name: the name of the partner in Affise MMP.
Installs: total installs.
Analyzed Installs: installs checked and analysed by the anti-fraud system.
Analyzed Installs rate: percent of total installs checked and analysed by the anti-fraud system.
Marked Installs: installs marked as fraudulent by the anti-fraud system.
Marked Installs rate: percent of installs marked as fraudulent by the anti-fraud system.
No risk: installs marked as having no fraud risk by the anti-fraud system.
No risk rate: percent of installs marked as having no fraud risk by the anti-fraud system.
Low risk: installs marked as having low fraud risk by the anti-fraud system.
Low risk rate: percent of installs marked as having low fraud risk by the anti-fraud system.
Suspicious: installs marked as having traces of fraud risk by the anti-fraud system.
Suspicious rate: percent of installs marked as having traces of risk by the anti-fraud system.
Med risk: installs marked as having medium fraud risk by the anti-fraud system. Pay attention to such installs, they are likely to be fraudulent.
Med risk rate: percent of installs marked as having medium fraud risk by the anti-fraud system.
High risk: installs marked as having high risk by the anti-fraud system. Pay attention to such installs, they are highly likely to be fraudulent.
High risk rate: percent of installs marked as having no fraud risk by the anti-fraud system.
You can manage your table with the following options:
The Export button to export the data.
The Update button to update the data in the slice.
Please contact the Affise Customer Support team regarding all raised questions via the e-mail: [email protected].