Match Rate is the percentage of ad requests that resulted in a successfully served ad. It measures the effectiveness of your ad mediation setup and how well your app's audience matches with the available ad inventory.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
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 Match Rate 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.
The Network Requests by Platform metric shows the number of ad requests made from each mobile platform (iOS, Android, etc.) to AdMob servers, helping to identify trends and optimize ad formats and targeting.
The Network Requests Matched by Ad Unit metric in AdMob measures the number of times an ad request from an app matches with an ad from the network.
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 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.
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.
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.