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.
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 Impressions RPM by Platform using Databox, follow these steps:
The Network Requests metric in AdMob measures the number of times an ad request is made to the AdMob network server for a particular ad unit. It helps determine the efficiency of ad serving and network performance.
Clicks by Platform is a metric in Google AdMob that shows the number of clicks on ads broken down by the platform on which they were displayed, such as iOS or Android.
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 by Format measures the number of times an ad was displayed on a user's device, broken down by ad format (e.g. banner, interstitial, rewarded video).
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 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.