Network Request RPM by Platform is a metric that indicates how much revenue is generated per 1000 network requests from each type of platform (Android, iOS).
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 Network Request RPM 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 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.
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 by Platform measures the percentage of times an ad is shown to a user who has viewed an app on a specific platform, such as iOS or Android. It helps app developers and advertisers optimize their ad strategy for each platform.
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.
Network Request RPM by App is a metric in Google AdMob that measures the average revenue earned per thousand ad requests that your app generates through the AdMob network.
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.