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On this page
  • What Usage Data Is Tracked?
  • Filter & Drill Down

Was this helpful?

  1. Setup and run
  2. Lowcoder Enterprise Edition
  3. Enterprise Edition Features

App Usage Analytics

PreviousAudit LogsNextBranding & Whitelabel

Last updated 1 day ago

Was this helpful?

While Audit Logs help you track what your teams and app editors do within the Lowcoder platform, the App Usage Logs feature shifts focus outward—capturing how your published apps are consumed by real users.

Think of it as a lightweight, embedded analytics suite, similar to Google Analytics—but tailored for internal tools and enterprise apps built on Lowcoder.

App Usage Logs deliver actionable insights into how your applications are used by end-users. Whether those users are employees, customers, or external partners, this feature gives you the visibility needed to understand:

  • Which apps are used most

  • Who is using them (anonymous or logged-in)

  • From where, and on what kind of devices

What Usage Data Is Tracked?

Lowcoder automatically logs a variety of app usage events, categorized to help you quickly surface important patterns and metrics. All Metrics are collected without additional cookies or analytics tracking tools.

🔍 Insights Tracked:

  • App Usage Over Time Visual timeline of how often your apps are accessed

  • User Engagement by Region Geographical mapping of user activity

  • Top 10 Most-Used Apps Ranked list of most active apps in your environment

  • Known vs Anonymous Users Segregation of logged-in vs guest traffic

  • Device & OS Breakdown Analysis of device types and operating systems used

  • Browser & Layout Engine Stats Deep insight into client rendering environments

Filter & Drill Down

To make the logs truly useful, App Usage Logs include powerful filtering capabilities:

đź”§ Available Filters:

  • Start Date / End Date

  • Environment ID (e.g., Dev, Staging, Production)

  • Organization ID

  • User ID

  • App ID

  • App Author

  • App Author Org ID

These filters let admins zoom into specific events, teams, apps, or usage periods—perfect for audits, A/B testing, or pre-release validation.

🆕