Sessions per User counts the average number of sessions initiated by each user or visitor to your website/application. This metric is mainly used to determine how frequently users return to your website or app.
Picture a scenario where your website was visited by 20,000 users in one month. In that same month, if your website recorded 50,000 sessions, you can infer that users initiate 2.5 sessions on average. So in this scenario, your 2.5 Sessions per User indicates that the average user visits your website at least two times.
The average Sessions per User benchmark is around 1.4 sessions per user. Additionally, the top 20% of websites report 1.6 sessions per user, while the top 10% report 1.9 sessions per user. This is based on a 2022 report from Littledata surveying more than 6k websites.
Use a summary chart or a line chart to visualize your Sessions per User. The summary chart displays the current value in comparison to a past value, while the line chart will let you track improving or declining performance, which you can then take action on.
The Sessions per User metric can be used to derive further insights from your web traffic or app usage data. It is calculated by dividing the total number of sessions in the given period by the number of users in that same period.
The Sessions metric is most commonly defined as a 30-minute time period within which a user interacts with your website. Sessions end when the 30 minute time period ends, starting a new session. A session can also end when a user exits your website. Additionally, a User in this context is a unique visitor to your website or user of your app.
With the Sessions per User metric, your aim should be to judge the quality of your web content or app experience. The higher your Sessions per User is, the more likely it is that you are attracting return users to your website or app.
Return users to your website indicates that your web traffic consists of leads who are further in the sales funnel than a first-time visitor, while return users to your app can indicate activation.
