Estimated Earnings by Ad Unit is a metric in Google AdMob that shows the estimated revenue generated by each ad unit, allowing publishers to track their earnings and optimize their ad strategy.
With Databox you can track all your metrics from various data sources in one place.
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 Ad Unit 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.
Estimated Earnings by Ad Type is a metric in GoogleAdMob that displays the estimated earnings generated by different ad types, such as banner ads, interstitial ads, and rewarded video ads.
Impressions is a metric that counts the number of times an ad is viewed by a user on a website or app. It does not guarantee that the ad was clicked on by the user.
Impressions by App is the count of how many times ads were viewed in a particular app over a specific time period. It helps to measure the exposure of an app to advertisement and the potential revenue generated by an app.
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.
Show Rate by Country is a metric that measures the percentage of ad requests that were successfully filled with ads for a specific country out of the total number of ad requests made from that country.
The Show Rate by App metric measures the percentage of times an app's ad request resulted in at least one ad being shown to the user.
Show Rate by Ad Type measures the percentage of eligible ad requests that actually resulted in an ad being shown on a particular ad type, such as banner or interstitial ads, during a specific time period.