I therefore thought it might be beneficial to provide a quick step-by-step guide, showing how quick and painless the task can be!
Step 1) Open Your Google Analytics portal and Edit the Profile on which you want to add the exclusion.
Step 2) Select Add Filter from Filters Applied to Profile.
Step 3) Select Custom filter.
At this point you’ll need to fill in a few pieces of information. Firstly, you’ll need to give your filter a name. Then select Visitor IP Address from the Filter Field drop-down.
Finally, you’ll need to enter the Filter Pattern. These Regular Expression (Regex) patterns can be retrieved through the monitoring portal (Support -> Service Information -> IP Ranges).
Note you will need to split the regex string as Google Analytics will only accept a maximum string length of 255 characters. The Regex expressions are separated with a “|” in the portal, so as long as the expression starts with a “^” and ends with a “$” you’ll be fine.
And that’s it! Save Changes and you’re all done.
We had an interesting conversion here at SC Towers this week about user behaviour, performance and tabbed browsers.
The key insight was about how we use the “Open Link in New Tab” feature when looking at Google results or any other search/comparison engine results list.
Most of us then do a quick “Open Link in New Tab” on about 4 or 5 entries on the results list that look interesting or are “at the right price” and then CLICK ON THE TAB THAT LOADS FIRST.
So, in effect, the “fastest tab” wins, REGARDLESS of the order that they may have been returned in the Google or comparison engine ranking.
Yes, the higher ranking entry is most likely to be the one that you “Open Link in New Tab” first and hence gets a “head start” whilst you move your mouse down and do the next right click to launch the next tab but that time delay is usually quite small.
If the first site is a second or two slower than the next opened tab it is quite possible that it will be bypassed as the user interacts with the first available tab.
Most of us also agreed that if the first available tab has what we wanted (the right product at the right price or the information we were looking for) we might never even look at the other tab.
So whilst the other sites’ analytics still might register a visit it never actually had one… and all because someone else’s site was just faster enough to snag the user’s attention first.
The real question is how representative are our browsing habits of the wider population?
Do you use your tabbed browser in the same way?
Existing customers should have already heard about the new web performance optimisation advisory service from their account manager but in case it snuck by you can read about it here on the Site Confidence website.
Our first offering in this space is the “Web Performance Health Check” – an in-depth, structured analysis of your site from the end user-perspective designed to identify potential areas of optimisation.
We will scan ~ 250 pages of your site using our beta Site Optimiser tool to measure their performance, as well as manually drilling down onto your key areas of concern.
The feedback from customers so far has been excellent and it has sparked a lot of improvements in site performance.
If you want more information please contact your account manager or email us here at email@example.com!