Introduction

As a product manager or UX designer, you're constantly seeking ways to keep users engaged with your app or platform. You've likely asked yourself, "What are the best strategies to improve engagement?" The answer lies in understanding your users' needs through their behavioral signals, and segmentation strategy and that's where LiveSession.io comes in.

This playbook is designed to give you actionable examples of metrics you can customize and build inside LiveSession.io. We'll focus on helping you learn from user signals and create data-driven engagement strategies tailored to your product's unique needs.

Segmentation Strategies for User Engagement

To start your journey into user engagement analysis with LiveSession.io, it's crucial to implement a segmentation strategy. This approach allows you to categorize your users based on their engagement levels and behaviors. Let's break down the three main user segments:

• Power users: These are your most engaged users who frequently interact with your product and utilize its advanced features. They often represent your ideal customer profile.
• Core users: This segment comprises users who regularly use your product but may not explore all its capabilities. They form the backbone of your user base.
• Casual users: These users interact with your product sporadically or use only basic features. Understanding this group can help you identify opportunities to increase engagement.

To begin analyzing user behavior in LiveSession.io, consider these specific actions:

Create segments based on usage frequency

To define these user groups in LiveSession, follow these steps:

Casual users: Define this segment with a simple condition: active duration more than 2 minutes long

Core users: Set up a segment for users with moderate usage, such as 5-20 page count, and maximum session duration between of more than 5 minutes.

Power users: Create a segment with a condition like custom events completed for your key advanced user actions

You can further refine these segments by incorporating specific feature usage or key actions that are relevant to your product. For example, power users might frequently use advanced features, while casual users may stick to basic functionalities.

Use session recordings

To observe how different user segments interact with your product simply start watching your users navigate the app. Don’t watch all the sessions. Once you created the segments for each group of active users you can focus on specific user group. Paying attention to their navigation patterns and feature usage will unveil a lot of qualitative insights.

Analyze Feature Usage

Once you've segmented your users, the next step is to analyze which features they're using most frequently. This insight is crucial for focusing your development efforts on the most valuable aspects of your product. Here's how to get started with feature usage analysis in LiveSession.io:

1. Create core feature pages: In your LiveSession settings, set up pages that correspond to the key features of your product. This will allow you to track visits and interactions with these specific areas.

2. Set up a dimensional metric: Create a metric that compares the visit frequency of different feature pages. This will give you a clear overview of which features are most popular among your users.

3. Implement custom events: For more advanced analysis, set up custom events that signal when a user is actively engaging with a feature, not just visiting its page. More technical help here

4. Create activated user segments: Develop segments for users who have triggered these custom events, allowing you to distinguish between passive page visits and active feature usage.

5. Apply segments to metrics: Use these activated user segments in conjunction with your dimensional metrics to gain deeper insights into how different user groups interact with various features.

These suggestions showcase LiveSession's capabilities and serve as inspiration. Adapt them to your product and users for best results. While they offer a starting point, customizing them to your strategy will be most effective.

Measure Engagement Intensity

One of the most effective ways to gauge user engagement is by monitoring Daily Active Users (DAU), Monthly Active Users (MAU), and Weekly Active Users (WAU). These metrics help determine your product's stickiness - a higher ratio indicates that users are returning to your product more frequently. Here's how you can set this up in LiveSession.io:

1. Create a metric for Monthly Active Users (MAU):
   • Set an active duration filter for sessions longer than 2 minutes
   • Set the timeline to the past 30 days
   • Save this metric as "MAU"
2. Repeat the process for Weekly Active Users (WAU) and Daily Active Users (DAU):
   • Use the same active duration filter
   • Set the timeline to 7 days for WAU and 1 day for DAU
   • Save these metrics as "WAU" and "DAU" respectively
3. Update your dashboards:
   • Add the MAU, WAU, and DAU metrics to your dashboard
   • This will allow you to easily compare these metrics and track changes over time

Analyze Session Duration and Frequency

Understanding how long users engage with your product and how often they return is crucial for assessing the depth of engagement. Let’s begin the process by our suggested actions:

View trends of your average session duration

• On the welcome dashboard, locate the Avg. Session Duration numbered metric
• Change it to a trend metric to visualize changes over time, especially useful after implementing product changes

Create a dimensional metric for longest sessions:

• Set up a metric with maximum session duration
• Filter by user emails to identify and analyze the most in-depth interactions with your app (For this you will need to setup email identification more technical help here)

Map User Journeys

Understanding user journeys is crucial for improving engagement. With LiveSession.io, you can create funnels to measure content engagement, both within and outside your app. Here's how to set up a basic user journey map:

1. Define the entry point: Set the first step of your funnel as a substring URL containing "home" to identify where users start their journey. Alternatively, use a broad filter that includes all your sessions for a comprehensive view.
2. Track content engagement: Add a second step to your funnel that captures visits to specific content pages, such as your blog or other key pages where you want to measure engagement possibly in-app.
3. Measure user actions: For the final step, track conversions or engagement actions. This could include likes, comments, form submissions, or any other meaningful interaction with your content.

To gain real value from it watch the sessions and analyze the drop-offs between funnel steps to identify areas for improvement in your user journey.

Frequently Asked Questions

What is user engagement?

User engagement is how much and how often users interact with an app or website. It shows how interested and involved they are.

Why is user engagement important?

User engagement matters because it can help keep users coming back. When users are engaged, they are more likely to use the product regularly and recommend it to others.

How can I measure user engagement?

You can measure user engagement by looking at how many users are active, how long they spend on the site, and how often they return. Setting up metrics, funnels and segments in LiveSession.io is a good tool for that.

What are some ways to boost user engagement?

You can boost engagement by understanding specific user segments like casual users, core users, power users and identifying key actions performed in the user journeys.

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