Docs Behavioural Page view analytics

Page view analytics

Understanding how merchants engage with your app tells you more than just where they spend their time - it reveals how they discover value and interact with your features. Page View Analytics connects you to both the big picture of how your entire user base navigates your app and the individual stories of how specific customers explore your tools.

What makes this report different

Most analytics tools overwhelm you with raw numbers. Page View Analytics transforms basic page view data into clear insights about user behavior and engagement. Whether you’re optimizing your interface, planning feature improvements, or supporting specific customers, you’ll see exactly how merchants interact with every part of your app.

Report components

Engagement visualization

Page view analytic engagement chart

The stacked area chart shows you activity patterns across your app:

  • Daily and weekly usage cycles help you spot natural rhythms in how merchants use different features
  • Route-based breakdowns reveal which parts of your app see consistent engagement versus occasional use
  • Historical trends surface gradual shifts in feature discovery and usage patterns
  • Hover details provide instant insight into specific days and routes

Route analysis

Page view route analysis chart

The detailed table breaks down engagement by specific routes:

  • Views and unique users show you raw popularity and adoption
  • Views per user reveal which features bring merchants back repeatedly
  • Average engagement time helps distinguish between quick check-ins and deep work sessions
  • Route hierarchies make it easy to understand which app sections drive the most engagement

Understanding your numbers

Smart filtering

The report gives you multiple ways to focus your analysis:

  • Group by page or customer to shift between broad patterns and individual stories
  • Filter by time period to track changes in engagement over days or weeks
  • Search specific routes to focus on feature-level engagement
  • Segment analysis to understand how different customer types engage with your app

Reading the patterns

Your page view data tells multiple stories:

  • High engagement times often signal complex features that might need simplified interfaces
  • Frequent returns to certain pages might indicate missing shortcuts or navigation paths
  • Time of day patterns help you plan maintenance and support coverage
  • Individual customer views reveal how specific merchants discover and use your features

Making the most of this report

Daily monitoring

Keep connected to how merchants use your app:

  • Track engagement patterns throughout the day to guide deployment timing
  • Watch for unexpected changes in feature usage that might signal issues
  • Monitor new feature adoption through page view patterns
  • Understand peak usage times to optimize support coverage

Interface optimization

Transform engagement patterns into better user experiences:

  • Identify frequently accessed features that deserve prominent placement
  • Spot navigation patterns that suggest needed interface improvements
  • Use engagement times to find features that might need streamlining
  • Track how interface changes affect user behavior and feature discovery

Pro tips

Maximize value from your engagement tracking:

  • Compare similar routes to understand which interfaces work better
  • Watch for seasonal patterns in feature usage to guide updates
  • Use customer-level views during support conversations for context
  • Track engagement time alongside visit frequency to understand true value delivery

Remember: Understanding how merchants navigate your app helps you build better experiences and deliver more value. Need help making sense of your engagement patterns? Our team is here to help you turn these insights into action.