The Network Requests Matched by Ad Unit metric in AdMob measures the number of times an ad request from an app matches with an ad from the network.
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Used to show comparisons between values.
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To track Network Requests Matched by Ad Unit using Databox, follow these steps:
The Network Requests by App metric refers to the total number of requests that an app makes to ad networks over a certain period of time, and can help to optimize ad performance and identify potential issues with the app's integration of ad networks.
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 Unit is a metric in the Google AdMob platform that measures the number of times an ad has been displayed on a specific ad unit within a given time period.
Impressions RPM by platform is a metric that measures the revenue earned per thousand ad impressions on a specific mobile platform, such as Android or iOS. It helps to optimize ad placement and improve monetization strategies for each platform.
Impressions RPM by Format measures the revenue generated per 1000 impressions for a specific ad format, such as native or banner ads, providing insight into the effectiveness of each format in monetizing the app.
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.
Show Rate is the percentage of ad impressions that actually show up on a user's device out of the total number of ad requests made by the app. It measures the effectiveness of the ad network's ability to deliver ads to users.
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.