Network Requests by Ad Unit metric counts the number of ad requests made by a specific ad unit of an app to AdMob servers, which gives insights on ad load, user behavior, and revenue optimization.
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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 Network Requests by Ad Unit using Databox, follow these steps:
Clicks by Ad Unit is a metric in Google AdMob that tracks the number of clicks generated by individual ad units within an app. This information can be used to optimize ad placement and ad format to increase revenue.
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 by Ad Type is a metric in Google AdMob that displays the number of times ads from different ad types were displayed to users. This includes banner, interstitial, native, and rewarded video ads, providing useful insights into ad performance for optimizing your ad strategy.
Impressions CTR by Ad Type metric shows the ratio of clicks to impressions for each ad type. It helps track the effectiveness of different ad formats in attracting user interaction.
Impressions RPM (Revenue per Thousand Impressions) is an advertising revenue metric that measures how much money a publisher earned for every 1000 ad impressions served on their app or website.
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 is the percentage of ad requests that resulted in a successfully served ad. It measures the effectiveness of your ad mediation setup and how well your app's audience matches with the available ad inventory.
Network Request RPM by Ad Type is a metric that shows the revenue per thousand ad requests per ad type. It helps to analyze the performance and profitability of individual ad types and make informed decisions to optimize the ad inventory.