Using your Rewarded ads report (Beta)
The Rewarded ads report is a pre-made default report provided by AdMob. It can be used as a standalone report, or you can make changes to its filters, dimensions, and metrics and save it as a new report.
Filters
Functionally, filters hide unnecessary or unwanted data from your reports. When you select a filter, you're defining what you want to see in the report, and AdMob will hide anything that doesn't match the criteria in its filters.
The following are available for this report and saved reports that use it as a template:
App (Required)
- Select the app you want to filter by. You must select one app. The data for the selected app will be shown in your report. You can use the Search box to search for specific apps by name.
- Click Apply to apply the filter to your report.
- To add another filter, click Add filter and select again.
Dimensions
Functionally, dimensions determine how your report is organized. For example, if you wanted to see your earnings broken down by countries, you could add the country dimension. Adding new dimensions further reorganizes and refines the data.
The following are available for this report and saved reports that use it as a template:
- Date: View performance by date.
Metrics
Functionally, metrics represent the kinds of data or values contained in a report. They're usually arranged in columns and contain numbers or percentages. When dimensions are added, metric values are recalculated based on the new order or groupings the dimensions create. Adding or removing metrics adds or removes a column of information from the report.
The following are available for this report and saved reports that use it as a template:
Active users (AU)
Your earnings accrued for the selected date range including revenue from the AdMob Network, optimized third-party ad networks, and third-party ad buyers that participate in Open Bidding.
This amount is an estimate that is subject to change.
AdMob estimates the third-party revenue based on information retrieved from the optimized third-party ad networks.
You may see discrepancies between the revenue data reported on AdMob’s reports and the revenue data reported on your third-party ad networks. Below are a few of the possible reasons for discrepancies:
- Invalid ad network optimization setup: Ensure that ad network optimization is correctly set up
- Incorrect ad unit mappings: Every AdMob ad unit should have a corresponding ad unit on the third-party ad network. AdMob scrapes at the ad unit level, so, mapping the same third-party ad unit to multiple AdMob ad units can lead to larger-than-expected revenue appearing in reports and dashboards
- Different time zones: Your AdMob reporting time zone and the third-party ad network’s reporting time zone may be different
- Scraping delays: There will be delays between the data shown in the AdMob reports and what can be seen on the third-party ad network’s reports
- Discrepancies in data: If there is a discrepancy at the ad source, ad unit, or country level, there will be a discrepancy with the total estimated earnings
Est. earnings / Active users (AU)
Estimated earnings accrued during the selected date range for each active user, which includes users who have not viewed a rewarded ad. It's calculated by dividing the estimated earnings by number of active users:
Est. rewarded earnings / Active users
The value in the “Total” row is the estimated earnings per unique active users in the selected date range.
Est. earnings / Rewarded users
Est. rewarded earnings / Rewarded usersImpressions
The total number of ads shown to users.
This will include all mediated impressions as well as AdMob impressions.
Impressions / Active users (AU)
Number of rewarded ads shown to users on average for each active user, which includes users who have not viewed a rewarded . It's calculated by dividing the total number of rewarded impressions by the daily number of active users:
Rewarded impressions / Active users
The value in the "Total" row is the impressions per unique active users in the selected date range.
Impressions / Rewarded users
Number of rewarded ads shown to users on average for each rewarded user. It's calculated by dividing the total number of rewarded impressions by the number of rewarded users:
Rewarded impressions / Rewarded users
The value in the "Total" row is the impressions per unique rewarded users in the selected date range.
Impressions / Sessions
Number of rewarded ads shown to users on average during each session. It's calculated by dividing the total number of rewarded impressions by the number of sessions:
Rewarded impressions / Sessions
Observed eCPM will only be shown for optimized third-party ad networks.
The value in the "Total" row is an average of all the values in the Observed eCPM column.
AdMob estimates the third-party revenue based on information retrieved from the optimized third-party ad networks.
You may see discrepancies between the revenue data reported on AdMob’s reports and the revenue data reported on your third-party ad networks. Below are a few of the possible reasons for discrepancies:
- Invalid ad network optimization setup: Ensure that ad network optimization is correctly set up
- Incorrect ad unit mappings: Every AdMob ad unit should have a corresponding ad unit on the third-party ad network. AdMob scrapes at the ad unit level, so, mapping the same third-party ad unit to multiple AdMob ad units can lead to larger-than-expected revenue appearing in reports and dashboards
- Different time zones: Your AdMob reporting time zone and the third-party ad network’s reporting time zone may be different
- Scraping delays: There will be delays between the data shown in the AdMob reports and what can be seen on the third-party ad network’s reports
- Discrepancies in data: If there is a discrepancy at the ad source, ad unit, or country level, there will be a discrepancy with the total estimated earnings
Rewarded (%)
Count of ad_reward event / Rewarded impressionsRewarded events
Count of ad_reward eventRewarded users
Count of users who sent ad_reward eventRewarded users (%)
Rewarded users / Active users