Max Actions in one Visit is a metric that indicates the maximum number of pageviews and other interactions a user has within a single visit on your website, providing insights into user engagement and session duration.
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 Max Actions in one Visit using Databox, follow these steps:
The Visits by City metric tracks the number of visits to a website by users located in different cities, providing insights into regional audience engagement and potential target markets.
The Visits by Browser Language metric measures the number of visits to a website grouped by the language of the visitor's web browser, helping to understand the preferred languages of site visitors.
The Visits by Device Type metric shows the number of visits to a website categorized by their device type, such as desktop, mobile or tablet. This helps to understand which devices are being used to access the website and to optimize the site for different devices.
The Unique Visitors by City metric shows the number of distinct visitors who accessed a website from a particular city.
Unique Visitors by Browser is a metric that shows the number of distinct visitors who accessed a website using different web browsers. It helps to understand the browser usage patterns of a website audience.
The Returning Visits metric counts the number of times visitors return to a website after their first visit.
The Unique Downloads metric in Matomo tracks the number of times a file was downloaded by unique visitors to your website/app, helping you gauge engagement with specific content.
The Avg. Page Load time metric measures the average amount of time it takes for a web page to fully load in a user's browser. This metric can help identify performance issues that may be impacting user experience.