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:
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.
The Clicks by Ad Type metric shows the number of clicks received by each type of ad format, such as banner, interstitial, or rewarded video ads. It helps advertisers understand which ad formats are performing better and where they should focus their ad spend.
The Estimated Earnings by App metric displays how much revenue a specific app has earned within a certain time period on the AdMob platform, based on ad impressions and clicks.
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 is a metric that counts the number of times an ad is viewed by a user on a website or app. It does not guarantee that the ad was clicked on by the user.
Show Rate by Country is a metric that measures the percentage of ad requests that were successfully filled with ads for a specific country out of the total number of ad requests made from that country.
The Network Request RPM by Country metric is a performance metric that measures the revenue earned by publishers for every thousand ad requests served per country, giving insights into the monetization potential of a specific country.
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.