📘

Since user path analysis measures events within a single session, if you are using an SDK version that does not collect sessions, an SDK update is required.

Introduction

User path chart is a visualization tool that shows users' movement paths within a service. It allows to easily understand which paths users take and the dropout rate and conversion rate at each path.

User path chart records all the events that users trigger within one session and draws a path based on them. It also shows where users drop off or convert, making it easy to identify problematic paths. In addition, it displays the conversion/drop-off rate for each event, making it easier to identify issues in that path.

In addition to simple user path analysis, it can also perform comparisons between multiple paths or detailed path analysis. It also provides event filtering functionality for each step to help users analyze data intuitively and quickly.

Thus, the user path chart is a useful analysis tool for understanding users' service usage paths, and it can contribute to improving services and user experiences

How to use

First, click on the user path tab in the data analytics menu.

Example for e-commerce

In the Steps, select the event of the page where users first visit the service. If there are multiple options such as the home page or product detail page, you can select the $session_start event, which is automatically collected by the Hackle.

If the path you want to see is clear, you can directly select the desired event for the second step, such as entering the product details or adding to cart. Otherwise, if you only select the first event, you will automatically see which events users have used the most and how many have exited. Setting it up until the final purchase completion page allows you to see the conversion and exit of the entire user shopping journey at a glance.

Save frequently used charts

If there are analysis chart or metrics that need to be frequently monitored, select the analysis item and then select "save chart". The saved chart can be reviewed again at any time in the data report.