So, z
Behavioral
Number and depth of page views by users . You shouldn't trust 100% of any one metric, since each system has its own evaluation mechanics. It's better to compare data, for example, from Yandex Metrica and Google Analytics, and analyze the results. Decide on the pages for UX audit: look at the login pages in Yandex Metrica, select the popular one (this is not necessarily the main one, sometimes users come by low-frequency queries), analyze its key indicators (number of calls or clicks, registration, time on the site, bounces), they will be needed to find out the reasons for the page sag. Also study the scroll map: what percentage of the page do users scroll.
User paths . Now it is possible to analyze the path that users take on a site, from entry to exit: from which page and where they go, what actions they perform, where they “drop off”. Information can be found in GA4, Metrica (content only).
Interaction with elements . We are talking about a click map, which shows the places that visitors most often "click" on, and a webvisor with session recordings, which show real user actions. south korea consumer email list We know that many people turn off these tools because the site speed drops, but this is not always for the better. When there are many critical technical errors or when there is conversion traffic, but no actions are taken, you need to see whether the traffic you are receiving is targeted or not. If it is unqualified, then you do not need a UX audit, but a review of the promotion strategy and attracting an audience to the site.
Audience segmentation . New and returning users are of interest here (they may be loyal). The audience should also be classified by traffic sources: organic search, advertising, referral sources, etc.
Interaction with content . It is necessary to study what materials/pages attract the attention of users, how long they study the content, what actions they perform: do they leave comments in articles, reviews of products, how the procedure for ordering products, surveys, etc.
Case
Research into user behavior when placing an order
Operating
Conversion rate is the percentage of users who perform target actions, such as registration, purchase, subscription.
Bounce Rate is the percentage of users who leave a site after viewing just one page.
Here it is necessary to take into account that for Google Analytics this is a viewing session of only one page, for Yandex Metrica it is any visit lasting less than 15 seconds.
Redirects and errors . Are there any pages not found (404 errors) that confuse users and disrupt UX. And also how many times and where visitors are redirected.
what metrics should be measured when conducting website analytics?
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