The Estimated Earnings by Platform metric in AdMob shows the estimated revenue earned from each platform (Android, iOS) for a specified time period, helping app publishers to optimize their monetization strategies.
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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 Platform using Databox, follow these steps:
The Network Requests by Country metric in GoogleAdMob measures the number of ad requests from different countries. It helps advertisers understand their audience and optimize ad campaigns for better performance.
The Clicks by Format metric tells you the number of clicks on your ad units grouped by the ad format type, such as banner, interstitial, or rewarded video. It helps you understand which ad formats are the most effective in driving clicks and engagement with your app.
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 CTR (Click-Through Rate) is the percentage of clicks advertisers received per thousand ad impressions. It measures the efficiency of ads in generating clicks from users. Higher CTR implies better ad performance.
Impressions CTR by Ad Unit measures the click-through rate (CTR) of ads served in a specific ad unit, calculated by dividing the number of clicks by the number of impressions.
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.
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.