How to analyze user behavior and location history on the website

User location is the user's navigation from one page to another before performing a target action or dropping-off a project. These locations include returns to previous pages, as well as deviations from the intended flow.While analyzing the visitors' behavior, we can come up with an idea of how comfortable the website is and whether it effectively resolves the user's problems at different stages of the sales funnel.Frequent returns, long chains of different locations before target events or sudden drop-off from the resource indicate that navigation and project usability require improvements.

Google Analytics allows you to track the location of visitors on the website, analyze the events launched, see the entry and exit points of users. This information is given in several conversion maps.

Go to the section "Behavior" - "Behavior Flow":

This report displays user navigation from one page or event to another while displaying entry and exit points. Here you can see which sections of the website are the most popular among visitors.

Also, the report will help to identify any issues with the materials, for instance, finding pages with high drop-offs rates.

The report also shows the number of visits grouped by the traffic source in order to understand which search engine or website attracts the maximum number of customers:

You can select a view type in the report: automatically grouped pages is set by default, alternative options are "Events", "Pages and Events" or "Create Content Grouping":

In order to track certain events on the website, such as video views, clicks, file uploads, you need to add the tracking code according to the instructions. Content grouping is used to analyze materials combined by a specific criterion.

For instance, on the books website you can compare the number of downloads of fiction and scientific literature by creating appropriate content groups. At the same time, you can create separate groups: novels, poetry, detectives, etc. within each section.

Each content group has information about page views and drop-offs rates. To analyze content groups, you need to choose one of three options: add tracking code, use regular expressions or rules.

The report also allows you to view the visitors' location history of a particular segment; for instance, returned users or customers who have previously made a purchase. You can set a desired segment by clicking "Add segment":

After moving the cursor over the desired page on the website, a chart will be displayed showing the ratio of the through traffic and the drop-offs from the resource:

Analysis of the behavior flow allows you to understand whether the users' real flow correspond to the ideas of how the flow to perform target actions (Customer Journey Map) should look like.

You can also view which materials are the most popular, and which, on the contrary, cause the most user drop-offs. Besides, using the report, you can get information on whether customers view additional goods or services before making a purchase.

To view, go to "Conversions" - "Goals" - "Goal Flow":

In order to use this report, you need to set goals in your account. There are four types of goals: loading a specific page, sessions with a specific time duration, the number of pages viewed, and a specific event. There is a limit for one presentation to a maximum of 20 goals.

You can also set the sequence of steps to get to the goal. After the setup, the report will display the users' directions to conversion, and by analyzing them, you can find out whether there are frequent drop-offs or loops on any pages of the website.

If there is a significant traffic leak on a certain website, it is desirable to simplify the sequence of actions for the conversion and remove unnecessary steps.

This report compares the traffic volume from various sources and marketing channels, identifying patterns of user behavior on the resource. Here you can see how users interact with website content, analyze the effectiveness of pages and flow.

In order to view the data, you need to go to the "Reports" - "Audiences" - "Users Flow":

This report is similar to the "Behavior Flow", but here you can only view pages without information about events and the use of content groups.

The report displays three steps by default, but you can increase their number to 12. To do this, simply click "+ Step":

To analyze the effectiveness of users' interaction with the project, you can create a hypothetical ideal path to conversion, for instance: "Product page in the online store" - "Shopping cart" - "Order page".

However, if in reality you see this path: "Homepage" - "Website search" - "Search results page" - "Drop from the resource", this indicates that users didn't find the materials or goods they were looking for on the website.

In this case, you need to analyze the user search on the website, improve navigation and, possibly, expand the variety of products.

This is a WordPress plugin designed to analyze website visits using the Crazy Egg service. The tool allows you to view heat maps: user's clicks and scrolling on the website. It can perform audience segmenting and track conversions.

The plugin is designed to analyze the user's behavior and clicks in online stores using CMS OpenCart.

The module also has a feature to analyze the heatmaps of visits, allows you to track user actions in real time, and view video records.

The service allows you to receive statistics of visits in real time, track all clicks and user navigation on the website.

Web analytics services and special plugins will help you to:

• find out which user paths are the most popular, and how you can optimize steps to target actions in order to improve conversion;
• set most and least visited pages and sections;
• see at which stages occurs the maximum traffic flow;
• identify which interface design elements are perceived by visitors as links, without being classified as such;
• check how often the website materials are read to the end;
• get statistics of filling out forms on the website;
• analyze the visitors' behavior of a certain segment, etc.