Filter and groupings window

The following filtering and grouping options are available:

• Basic filters:
  • App name
  • Source type: Non-organic and/or organic
  • Media source
  • Geo
  • Date range (see time zone support)
• Expanded filters - click on the blue arrow, to the right of the date picker:
  • Agencies
  • Channels
  • Minimum cohort size
• Grouping options - choose different dimensions to group the fraud data by to get the specific insights you need:
  • Application: compare the total amount of fraud per each of your apps.
  • Media Source (default): compare the handled fraud from each of the media sources used by your apps.
  • Media Source + Campaign: compare the handled fraud from all your campaigns across all media sources used by your apps.
  • Media Source + Site ID: compare the handled fraud from all publishers (site IDs) across all media sources used by your apps.
  • Media Source + Site ID + Campaign: compare the handled fraud from all publishers (site IDs) across all media sources used by your apps, associated with the relevant campaign names.
  • Geo: compare the handled fraud from all countries.
  • Media source + Geo (available in the In-app events dashboard): compare the handled fraud from each of the media sources used by your apps associated with the relevant countries.

The headline metrics enable you to see:

• Estimated savings
• Identified installs
• Suspected overall fraud threat

Metrics are relevant for the time period selected in the date filter.

For the Estimated savings and Identified installs KPIs, there is a percentage value. This value shows how the presented KPI is in relation to the parallel date range before it. For example, this week compared to last week, or any days selected in the date range compared to the same number of days that came before: if it shows an X% increase in estimated savings, it means the previous parallel date range had X% fewer fraudulent installs.

Estimated savings

Estimated savings metrics:

• Displays the value of fraud identified and blocked in real-time by ProtectLITE and Validation Rules, to be settled by you with the ad networks. 
• Uses the formula: Estimated Savings = number of blocked installs X app average eCPI.
• Are not relevant for organic traffic.

For more details on how this amount is calculated read this FAQ.

Identified installs

Identified installs metrics display the number of installs identified and blocked in real-time by ProtectLITE and Validation Rules.

Suspected overall fraud threat

The suspected overall threat level:

• Is an estimate of the fraud that would be blocked by Protect360, if you had a subscription.
• Gives you a good idea of whether you should upgrade to Protect360 to receive more advanced anti-fraud protection.

Fraud trend over time chart

The chart displays the number of installs per day blocked by ProtectLITE and Validation Rules, for the time period selected in the date filter. 

Identified fraud breakdown

The table displays the number of installs blocked by ProtectLITE and Validation Rules for the time period selected in the date filter.

Click Export CSV to download the table to your desktop in CSV format.

The table is presented in a general overview format, as shown in the image that follows.

The dynamic table structure lets you:

• Click the table settings button to add or remove columns to the table.
  If you make any changes, make sure to click the Save button afterward so your customizations are saved for your future visits.
• Change the order of the columns by dragging the columns sections in the columns settings.

Content of the identified fraud breakdown table