Impressions CTR by Platform is a metric that measures the click-through rate of ads on different platforms such as mobile, desktop, and tablets. It helps to identify which platform drives more engagement and optimize the ad campaigns accordingly.
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 CTR by Platform using Databox, follow these steps:
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.
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 (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.
Impressions RPM by App is a metric that measures the revenue generated per thousand ad impressions on a specific app. It helps to evaluate the performance and profitability of an app's advertising strategy.
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 Platform is a metric that measures the percentage of ad requests that result in an ad being served, segmented by the type of device or platform the request came from.
Match Rate by App is a measure of the percentage of ad requests for a specific app that result in a filled ad. It indicates how well the app's inventory is being matched with relevant ads.
The Show Rate by Ad Unit metric measures the percentage of times an ad unit was shown in relation to the number of ad requests made for that unit. It helps evaluate the performance and effectiveness of ad units in terms of displaying ads to users.