The following example shows a Client who receives 55% of their website traffic from Organic Search – typically this is a strong performance, but again this will vary greatly based on paid search. More important than the % is the number of sessions itself – this tells us how many visits (note: not unique visitors) we received through this channel. In this example, we have 7486 visits in 1 month that all came from organic searches.
So what does this mean? “Bounce rate” can be thought of as a measure of engagement. If visitors are moving around your site, they are engaged. If they are bouncing, they cannot think of a good reason to stay. There is one notable exception to this: Blogs, videos, and news sites often have higher bounce rates because a visitor reads a particular article or watches a video and then leaves. For an ecommerce site, however, you would like to see relative low bounce rates. Sources that bounce a lot are probably not providing quality traffic.
While it’s best to create a custom dimension for filtering out bots, applying the generic bot filter is a good place to start. It’s important to note that filters cannot be applied retroactively, so if you’ve recently turned on this feature, you should be receiving less traffic. Additionally, double-check that you are filtering out your own traffic and IP address.
Mobile traffic: In the Groupon experiment mentioned above, Groupon found that both browser and device matter in web analytics’ ability to track organic traffic. Although desktops using common browsers saw a smaller impact from the test (10-20 percent), mobile devices saw a 50 percent drop in direct traffic when the site was de-indexed. In short, as mobile users grow, we are likely to see direct traffic rise even more from organic search traffic.