Understanding Analytics

Introduction

Refly provides comprehensive analytics to help you understand user interactions and engagement with your assistant. This guide will explain the various metrics and insights available on the analytics overview page.

Key Metrics and Insights

The analytics overview page provides a snapshot of important metrics and insights related to user sessions, engagement, and device usage. Here’s a breakdown of the key components:

Sessions

• Total Number of Sessions: The total count of user sessions within the selected time frame.
• Percentage Change: The increase or decrease in the number of sessions compared to the previous period.

Users

• Total Users: The total number of users who interacted with your assistant.
• New Users: Users interacting for the first time.
• Returning Users: Users who have previously interacted with your assistant.

Engagement

• User Engagement: Highlights sessions with and without interaction, providing a clear view of user activity.
• Bounce Rate: The percentage of sessions where users left without interacting.
• Total Sessions: The total number of sessions recorded.

Device Sessions

• Device Insights: Shows user device preferences, tracking usage across smartphones, laptops, and more.
• Desktop vs. Mobile: Visual representation of sessions by device type.

Audience Metrics

• Returning Users: Visual representation of users who have returned.
• New Users: Visual representation of new users.
• Sessions: Graph showing the number of sessions over time.

Using the Analytics Overview

Date Selection

Select the date range for which you want to view the analytics data. The overview page will update to reflect the selected time frame.

Interpreting Graphs and Charts

Use the provided graphs and charts to quickly understand user behavior and engagement. For example, the engagement graph helps identify peak interaction times, while device sessions reveal user device preferences.

Understanding Metrics

Pay attention to key metrics such as bounce rate and session counts to gauge the effectiveness of your assistant. High bounce rates may indicate the need for improvements in user interaction.

By regularly reviewing the analytics overview, you can gain valuable insights into how users interact with your assistant and identify areas for improvement.