ranking pages by most time spent

Does anyone know if Clicky allows you to see rankings of pages based on the length of time users collectively spent on a given page? I can see individual users, and the time they spent, but I want to see which pages drew people in general for the longest amounts of time. (Which is different than just # of visits).

thanks.

The best way to probably see these stats is to go here: Domain -> Content -> Entrance. Once you click on one of your pages, observe your avg time on that page. Then for more precise data click on the user and calculate the time they spent on that page before they clicked to another page. If you setup heatmap tracking, you can filter by heatmaps. The heatmaps will indicate that the user spent a specific amount of time on that page before clicking to another. If there is no heatmap, then the user used that page as an entrance and an exit, which is a bounce. The difference between bounce rate vs heatmap(in this scenario) is this indicates a more accurate time on page time since the user was less likely to get up and do something in between clicking on your different pages of the site. Since time on page is more important than time on site, this is the data you should focus on to see if your content needs to be improved or not. This would indicate that the user was less likely to get up and go do something in between clicking to the next page.

If you manually calculate your average time on page for users who only viewed that page and bounced, vs average time on page and then clicked to another page, there is a huge difference between to two. You want to only calculate the average time on an entrance page that a user clicked to another page. Basically you need to calculate the average time on page for visitors NOT contributing to the bounce rate.

If you don't want to setup heatmaps, use this filter: Click Filter -> Number of Actions -> >1. This will filter out all the non bounce rate contributing visitors. Then you'll still need to click on each visitor and manaully calculate the time spent before they clicked on the next page.