Understanding Widget Analytics

The Analytics feature in the widget editor provides detailed insights into how your widget performs on your website. While the metrics and charts are consistent across widgets, the specifics of what is tracked may vary depending on the widget type. For example, the analytics for a Subscription Cancellation Feedback Form (like in the attached image) will focus on form submissions and reasons for cancellation, while a Gallery Widget might emphasize views and interactions with images.

Key Metrics Explained

1. Loads

   • Definition: The total number of times the widget was loaded on a webpage.
     
     
   • Widget-Specific Application:
     
     • Form Widgets: Indicates how often the page containing the form was accessed.
     • Media Widgets (e.g., Gallery): Reflects the number of times the gallery was loaded.
       
       

2. Impressions

   • Definition: The total number of times the widget was visible to users.
     
     
   • Widget-Specific Application:
     
     • Popup Widgets: Measures how many times the popup was displayed.
     • Form Widgets: Tracks visibility in the viewport when users scroll.
       
       

3. Engagements

   • Definition: The total number of interactions users had with the widget.
     
     
   • Widget-Specific Application:
     
     • Feedback Forms: Captures clicks, typing, and submissions.
     • Interactive Widgets (e.g., Spinning Wheel): Tracks user spins or button clicks.
       
       

4. Conversions

   • Definition: The number of interactions that resulted in a successful outcome (e.g., submission, click-through).
     
     
   • Widget-Specific Application:
     
     • Forms: Tracks form submissions.
     • Games or Interactive Widgets: Tracks successful actions like winning spins.

Charts & Comparisons

1. Loads and Impressions

   • What It Shows: A time-based comparison of widget loads and impressions.
     
     
   • Widget-Specific Application:
     
     • For widgets like Media Galleries, this can highlight if users actually scroll to view the
       widget or abandon the page.
       
       

2. Loads vs. Impressions Metric

   • What It Means: Compares how often the widget was loaded versus visible to users.
     
     
   • Widget-Specific Application:
     • A lower impression count for an Exit Popup Widget might indicate it is not being triggered correctly.
       
       

3. Impressions vs. Engagement Metric

   • What It Shows: Tracks how many users interacted with the widget compared to how many saw it.
     
     
   • Widget-Specific Application:
     • For a Feedback Form Widget, low engagement may suggest unclear instructions or unappealing design.

Events Breakdown

• Total Events: The sum of all tracked user actions.
  
  
• Widget-Specific Events:
  • Forms: Tracks form submissions, errors, or skipped fields.
  • Media Widgets: Tracks clicks on images or videos.
  • Interactive Widgets: Tracks spins, button clicks, or prize claims.

Custom Analytics Based on Widget Type

Each widget may have slightly different analytics tailored to its functionality. For example:

• Form Widgets: Focus on submission success, errors, and engagement rates.
• Media Widgets (Galleries/Slideshows): Track clicks, hover interactions, and time spent on slides.
• Interactive Widgets (Games, Spinning Wheel): Focus on user interactions, win rates, and engagement frequency.

How to Use Analytics to Optimize Widgets

1. Identify Visibility Issues

   • Low impressions relative to loads indicate the widget may not be placed prominently on the page.

2. Increase Engagement

   • For widgets with low engagement, refine design or add clearer calls-to-action to encourage interaction.

3. Address Errors

   • For forms, a high error rate suggests the need for better validation or simplified fields.

4. Understand User Behavior

   • Use metrics like "Reason for Cancellation" to improve retention or satisfaction.

By understanding that each widget type may have specific analytics tailored to its purpose, you can better interpret the data provided in the Analytics Tab to make informed decisions and optimize performance.