How to use Google Analytics for user flow analysis?

@annabell_mcdermott 

To use Google Analytics for user flow analysis, follow these steps:

1. Set up Google Analytics: Sign in to your Google Analytics account and set up a new property for the website or app you want to analyze. Install the tracking code or SDK provided by Google Analytics on all the pages or screens of your website or app.
2. Enable User Flow Report: In the Google Analytics dashboard, navigate to the "Behavior" section, and then click on "User Flow." If you don't see the option, click on "Overview" first and then select "User Flow" from the drop-down menu.
3. Explore User Flow Report: The user flow report allows you to visualize the path that users take on your website or app. You can analyze how a user enters your site, navigate through various pages or screens, and exit the site. The report shows the most common paths as well as drop-off or exit points.
4. Analyze Flow: Use the different visualizations in the user flow report to analyze user behavior. You can view the flow in different dimensions such as landing page, source/medium, device, or location. Identify popular or successful paths and examine the pages or screens where users drop-off the most.
5. Set Goals: To make user flow analysis more actionable, set up goals in Google Analytics. Goals can be specific actions that you want users to complete, such as signing up, making a purchase, or filling out a form. Analyze how users flow through the steps leading to the goal and identify any bottlenecks or areas for improvement.
6. Segment Users: Utilize segmentation options in Google Analytics to analyze user flow for specific segments, such as new vs. returning users, users from different marketing channels, or users from different devices. This can provide deeper insights into how different groups of users navigate through your site or app.
7. Use Behavior Flow: In addition to the User Flow report, Google Analytics also offers a Behavior Flow report. This report shows the overall behavior patterns of your users, including the pages or screens they visit, the sequence of their interactions, and where they drop off. It can help identify the most engaging content or the pages with high abandonment rates.
8. Apply Filters: To refine your analysis, use filters in Google Analytics. You can exclude certain traffic sources, exclude or include specific pages or screens, or filter data based on various dimensions. Filters can help focus your analysis on the most relevant data.

Remember, user flow analysis is an ongoing process. Regularly review and monitor the user flow reports to identify any changes in patterns, validate user experience improvements, and optimize your website or app to enhance user engagement and conversions.