Website navigation analysis if done correctly, is great for SEO performance, better conversions and enhanced search visibility.
Google provides you with a chunk of cluttered and undecipherable analytical data on your website, but does that data really provide you with the insights to steer the website to your advantage? The primary purpose of exploring the website analytics matrix is to simplify the customer journey analysis as well as the user behaviour analysis with GA implementation for better results. Effective website navigation analysis makes it very simple for your visitors to find what they are looking for and set the search engines crawling with greater search visibility, leading to increased conversions.
You require the following skills:
Under sequence, substitute the regex values that you have noted. Make sure the ‘Immediately followed by’ is selected under sequence. You may need to vomit the landing page value on the second page dimension as GA returns inaccurate numbers for every page value followed by the same.
- Identifying popular Section 3
Post identifying the second most accessed section after the Landing section, in the website analytics matrix, it’s time to identify the third. Substitute the second section value into Conditions and continue substituting the value of the regex. You also should never miss including the value of the first most accessed page i.e. Landing page as users have a choice of revisiting pages. Same as the preceding steps, the page with highest number of sessions in the sequence is your third most accessed on site.
Continue repeating the steps until you cover the average page depth number on your site.
Easy navigation of your website should be of utmost importance for effective customer journey analysis and user behaviour analysis using GA. A creative website that confuses your users, fails to engage them for desired results and causes fall-outs is a wasted effort. Don’t let insufficient exploration of your website analytics matrix, make your website appear unstructured and complicated to the users. Keep it simple and let them keep coming back for more.