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.
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 by Ad Unit using Databox, follow these steps:
Clicks measures the number of times users click on an ad displayed on an app. It is an important metric to evaluate the effectiveness of ad campaigns and can help optimize targeting and ad content.
Clicks by App metric is a measure of the total number of clicks received for an app's ad units served by Google AdMob. It helps in evaluating the performance of each app in terms of user engagement and monetization.
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 Country is a metric that shows you the number of times your ads were displayed to users in different countries. It helps you understand which countries your ads are most popular in and can inform your ad targeting and optimization strategies.
The Network Requests Matched metric measures the number of ad requests from publishers matched with eligible ads from advertisers within the AdMob network.
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.
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.
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.