Feature Analytics

How to Analyze Product Tour Performance

This guide shows you how to analyze the performance of your product tours to understand user engagement and identify areas for improvement.

Before You Begin

  • You need access to the Userorbit Admin Panel.
  • You should have at least one active product tour with some user data.

Steps

  1. Access Tour Analytics — Navigate to the "Product Tours" section in the Userorbit Admin Panel and select the specific tour you wish to analyze. Look for an "Analytics" or "Performance" tab.
  2. Understand Key Metrics — Familiarize yourself with metrics such as:
    • Views: The total number of times the tour was displayed.
    • Starts: The number of users who began the tour.
    • Completions: The number of users who finished the entire tour.
    • Completion Rate: The percentage of users who started and completed the tour.
    • Drop-off per Step: The percentage of users who exited the tour at each specific step.
  3. Identify Drop-off Points — Review the "Drop-off per Step" metric to pinpoint where users are abandoning the tour. High drop-off rates at a particular step indicate a potential issue with that step's content, complexity, or relevance.
  4. Compare Performance Over Time — Use date range filters to compare tour performance across different periods. This helps you understand the impact of product updates or changes to the tour itself.
  5. Filter Analytics by User Segment — Apply user segments (e.g., new users, specific subscription tiers, users from certain regions) to see how different groups interact with your tours. This can reveal segment-specific challenges or successes.
  6. Use Analytics to Improve Tours — Based on your findings:
    • Shorten Tours: If a tour has a high overall drop-off rate, consider breaking it into smaller, more focused tours.
    • Fix Problematic Steps: For steps with high drop-off, review the content, simplify instructions, or provide clearer guidance. Consider adding tooltips or contextual help.

Verify It Worked

After implementing changes based on your analysis, monitor the tour's performance metrics (especially completion rates and step drop-offs) over the next few days or weeks to confirm that your adjustments have led to improved user engagement and tour completion.

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