Show Rate by Format is a metric that measures the percentage of ads that were shown to users out of the total number of ad requests made, broken down by ad format (e.g. banner, interstitial, rewarded video).
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 Show Rate by Format 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.
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 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.
Impressions RPM by Format measures the revenue generated per 1000 impressions for a specific ad format, such as native or banner ads, providing insight into the effectiveness of each format in monetizing the app.
The Network Requests Matched by Ad Type metric measures the number of ad requests made by an app broken down by the type of ad that was ultimately displayed.
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.
Ad Units Count is a metric in Google AdMob that tracks the total number of ad units served. This measurement helps app publishers understand the demand for their inventory and optimize their ad placements for higher revenue.
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.