The Estimated Earnings by App metric displays how much revenue a specific app has earned within a certain time period on the AdMob platform, based on ad impressions and clicks.
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Used to show comparisons between values.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Estimated Earnings by App using Databox, follow these steps:
Clicks by App metric is a measure of the total number of clicks received for an app's ad units served by Google AdMob. It helps in evaluating the performance of each app in terms of user engagement and monetization.
Impressions RPM by Country is a metric that measures the revenue earned per thousand ad impressions, broken down by country. It helps to identify which countries are generating the highest revenue, allowing advertisers to adjust their ad strategies accordingly.
The Network Requests Matched metric measures the number of ad requests from publishers matched with eligible ads from advertisers within the AdMob network.
The Network Requests Matched by Country metric represents the number of ad requests that are geographically targeted to a specific country and have resulted in a successful match with an ad from a respective ad network.
The Network Requests Matched by Ad Type metric measures the number of ad requests made by an app broken down by the type of ad that was ultimately displayed.
Match Rate by Platform is a metric that measures the percentage of ad requests that result in an ad being served, segmented by the type of device or platform the request came from.
Match Rate by App is a measure of the percentage of ad requests for a specific app that result in a filled ad. It indicates how well the app's inventory is being matched with relevant ads.
Match Rate by Format is a metric in Google AdMob that measures the percentage of ad requests that are successfully matched with an ad, broken down by ad format (such as banner or interstitial). This provides insight into which ad formats are performing well and which may need optimization.