The Visits by Device Brand metric in Matomo shows the number of visits to a website according to the brand of the device used to access it. It is a useful metric to analyze the popularity and usage of different device brands among website visitors.
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 Visits by Device Brand using Databox, follow these steps:
Visits by Device Model metric shows the number of visits to a website categorized by the type of device used, such as smartphones, tablets, desktops or laptops. It helps website owners understand how their visitors access their site and tailor their content accordingly.
The Visits by Search Engine metric presents the number of visits to your website that resulted from organic search engine results.
The Unique Visitors by Country metric shows the number of individual visitors from each country who accessed a website during a specified time period.
The Unique Visitors by Continent metric shows the number of individual visitors to a website by continent, providing insight into the geographic distribution of website traffic.
Number of Unique Visitors split up by Device type.
The Unique Visitors by Device Brand metric in Matomo shows the number of distinct users who visited a website using a specific brand of device, such as Apple, Samsung, or Google. It can help identify which device brands are most popular among the website's visitors and inform decisions about optimizing the site for those devices.
Bounce Rate by Page measures the percentage of visits to a specific page where visitors leave without interacting or viewing any other pages on the website.
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.