Visits per Visitor
Visits per Visitor is the average number of times a unique visitor accesses a website.
Visits per Visitor, also known as frequency, is a fundamental metric used in ecommerce analytics to represent the average number of times a distinct visitor accesses a website within a specified time frame. It gives retailers an insight into the habits and engagement level of their users. High Visits per Visitor implies greater customer engagement and can often denote a high degree of loyalty or interest.
Formula
Visits per Visitor = Total number of visits / Total number of unique visitors
Example
For instance, let's say an ecommerce site gets 10,000 visits in a week, and these visits are from 2,000 unique visitors. Thus, Visits per Visitor would be 10,000 divided by 2,000, which equals 5. This means that, on average, every unique visitor visits the site 5 times in a week.
Why is Visits per Visitor important?
Monitoring the Visits per Visitor metric is crucial as it provides a snapshot of visitor behavior and allegiance. A high frequency suggests that customers find the site relevant and are more likely engaged in repeated browsing or purchasing. It's a solid sign of customer loyalty and increases the likelihood of conversion, improving the site's overall sales performance.
Which factors impact Visits per Visitor?
Improving Visits per Visitor can be achieved by enhancing the user experience. Ecommerce sites can offer personalized content, implement a user-friendly interface, and provide high-quality customer service. Additionally, efforts such as engaging users through email marketing, social media interaction, and providing useful, engaging content can entice visitors to return.
How can Visits per Visitor be improved?
Several factors impact ULVs such as the timing of the livestream, the overall content quality, the promotion of the event, the platform used for broadcasting, and the event's topic or purpose.
What is Visits per Visitor's relationship with other ecommerce metrics?
Visits per Visitor has a strong correlation with other ecommerce metrics. For instance, an increase generally leads to higher page views, decreased bounce rates, improved conversion rates, and ultimately, boosted revenue. It's important to note that while it feeds into these other metrics, it’s influenced by customer satisfaction and loyalty, making it both a vital input and output within the ecommerce success equation.