The Average Purchase Revenue by Country metric measures the average amount of revenue generated by purchases made from a specific country.
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 Average Purchase Revenue by Country using Databox, follow these steps:
Engagement Rate by Source measures the level of audience engagement on a specific website or source, indicating the effectiveness of different traffic sources in driving engaged users.
Event Count by Session Campaign is a metric that shows the total number of events triggered within a session that originated from a particular campaign source or medium. It helps measure the effectiveness of campaigns by tracking user engagement through events.
The Event Count per User by Platform metric measures the average number of events triggered by each user on a specific platform within a given time period.
Purchase Revenue is a metric that shows the total amount of revenue generated from online purchases made on a website or app.
The Views by Page Title and Screen Name metric shows how many times each page or screen on the website/app was viewed by users. This information can help identify popular content and user behavior patterns, allowing businesses to optimize their digital strategy and improve user experience.
The Total Ad Revenue by Platform metric measures the sum of all revenue generated from advertising across different platforms, such as desktop and mobile, within a specified period of time, providing insights into the effectiveness of ad campaigns and platform performance.
Total Revenue is a key performance indicator that measures the overall amount of money generated by sales of products or services over a specific period of time.
Total revenue generated from all sessions grouped by default channel (organic, direct, referral, etc.).