The Return Visits metric measures the number of times a visitor returns to a website within a specified time period. It provides insight into customer loyalty and can inform marketing and website optimization strategies.
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 Return Visits using Databox, follow these steps:
The Average Time on Page metric measures the average amount of time visitors spend on a specific page of a website before leaving.
Mobile Views is a metric that evaluates the number of views that a website or app receives from mobile devices like smartphones and tablets. It helps to understand the popularity of the digital property on smaller screens.
The Customer Loyalty metric measures the level of commitment a consumer has to a brand or product, typically based on repeat purchases or engagement over time.
The Add to Cart metric measures the number of times a user adds a product to their virtual shopping cart on an e-commerce website.
Cart Views is a metric that measures the number of times visitors viewed their shopping cart during a visit to an ecommerce site. It helps to gauge the effectiveness of the cart design and identify potential issues that may be preventing customers from completing their purchases.
Units per Transaction is a metric that measures the average number of products or items sold in each transaction, revealing the effectiveness of your sales strategy in promoting multiple items to customers.
The Revenue (traffic) by Top Traffic Sources metric helps identify which sources of website traffic generate the most revenue for a business, allowing for targeted optimization and marketing strategies.
The Visits (traffic) by Top Traffic Sources metric shows the sources that have driven the most visits to a website, ranked by the number of visits received within a selected timeframe.