Page Path and Screen Class

Overview

  • Data Source: Google Analytics 4 (GA4)
  • Type: Text/String

Definition

  • Page Path: In the context of a website, Page Path refers to the specific portion of the URL that follows the domain name, indicating the particular page or resource that a user has accessed. For instance, in ‘www.example.com/Bags‘, ‘Bags’ is the Page Path.
  • Screen Class: For mobile applications, Screen Class represents the class name of the UIViewController (iOS) or Activity (Android) that is currently being displayed to the user. This class name helps identify which part of the app the user is interacting with.

Description

Page Path and Screen Class are dimensions in Google Analytics that provide insights into how users navigate a website or interact with a mobile app. They help in understanding user behavior by identifying the most visited pages or screens, the flow of navigation, and areas of high user engagement or potential drop-off points.

Use Cases

  1. Content Engagement Analysis: Evaluate which web pages (via Page Path) or app screens (via Screen Class) attract the most engagement, guiding content optimization and layout adjustments to enhance user experience.
  2. Navigation Flow Optimization: Analyze the sequence of Page Paths or Screen Classes to understand user navigation patterns, identifying opportunities to streamline the user journey and improve conversion paths.
  3. User Experience Improvement: Identify pages or screens with high exit rates or low engagement, and investigate potential causes such as poor content, navigation issues, or technical problems to implement necessary improvements.
  4. Feature and Content Prioritization: Use insights from popular Page Paths and Screen Classes to prioritize the development of features, content, and functionalities that align with user interests and behaviors.
  5. A/B Testing: Conduct A/B testing on various web pages or app screens to evaluate changes in design, content, or functionality, using Page Path and Screen Class data to measure the impact of these changes on user behavior.

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