How do you conduct on a landing page analysis?

Google Analytics makes it easy for you to see what keywords your visitors used to reach to your website. Among of its features, the segmentation is the most popular and powerful feature which targets and manages your web traffic data to be suitable for your preferences by filtering the specific conditions. You have 22 segments in default settings and you can select up to 4 settings at a time. Depending on the setting, it is possible to collect highly advanced information.

I would like to introduce how to use segments in Google Analytics with my landing page user behavior analysis comparing new users with returning users using Google Analytics Custom Reports. If you’re not familiar with them, check out “Google Analytics Custom Reports for Time Period Analysis” to understand how you can customize the report settings.

Click here to add my Landing Page Analysis in your Google Analytics!

Landing Page Analysis with Segments

1. Create a Custom Report

Based on what metrics you want to measure, set your custom reports with the combinations of segments and pick out the necessary data. In my Landing Page User Behavior Analysis, I customized the setting like below.

  • Metric Groups — Pageviews, Pages / Session, Avg. Session Duration, Bounce Rate, % Exit, Goal Completions and Goal Conversion Rate
  • Dimension Drilldowns — Page

Landing Page Analysis

 

2. Select Segments

In Google Analytics reports, click “All Sessions” or “+Add Segment” at the top of a custom report to access to segments. In the default settings, there are 22 default segments in Google Analytics such as Converters and Direct Traffic.

Google Analytics Default Segments

 

To get the user behavior on landing pages, I added “New Users” and “Returning Users” in addition to All Sessions, so that now you can see the differences by user types.

→ Click here to apply this Landing Page Analysis to your Google Analytics!

 

What do you think about my landing page analysis? Let me know if you have any suggestions in the comments.