The Network Requests by App metric refers to the total number of requests that an app makes to ad networks over a certain period of time, and can help to optimize ad performance and identify potential issues with the app's integration of ad networks.
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 Network Requests by App using Databox, follow these steps:
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 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 Country metric measures the click-through rate of the ads displayed to users in different countries. It helps advertisers understand the effectiveness of their ad campaigns and optimize them for better performance in specific regions.
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.
Match Rate by Ad Unit is the percentage of ad requests for a specific ad unit that were filled with ads, indicating the effectiveness of that ad unit in generating revenue for publishers.
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.