Google uses several signals to identify if a page they sent people to is high value or not.
One of the important signals Google uses is time spent on a page.
This experiment is tied to time spent on-page and has contributed to over 100% uptick in Google organic traffic in the last two weeks.
It is a straightforward experiment that does require you to have some programming knowledge and create webpages or a blog using code (e.g., HTML/CSS, Javascript)
I used this with a blog, but you can use it with any webpage.
The task is simple →
When someone lands on a webpage (or a blog post in my experiment) give them a few tasks to do. Typically, people like checking off tasks.
And while accomplishing tasks, they increase their time on your site.
Here are two examples:
1. Blog post with 101 Remote Work Stats with stat tracker. I created a simple tracker on the right side of the blog post that tells people how many stats they have seen out of the 101.
Before publishing this "Statistics Seen" tracker, on average, people spent 25 seconds on this blog post.
After incorporating the "Statistics Seen" tracker, they are spending about 1 minute and 15 seconds.
Here is the link if you want to check out the implementation https://www.prospercircle.org/blog/top-remote-work-stats
2. Blog post on Video Interviewing Tips with todos. Again, several websites provide such tips.
I created a list of 20 tips, broke them in three categories
The todo of seeing tips in each category is automatically tracked based on user scrolling.
Again, the time spent on this blog post increased. Initially, people only scrolled up to 33% of the blog post before the todo was on the site, now the average scroll is 80% of the page.
Here is the link if you want to see the implementation - https://www.prospercircle.org/blog/video-interview-tips
