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Passkey Analytics - Get Data & Insights from Passkey Auth

Discover our passkey analytics guide. Track activation rates, login metrics, device insights & funnel analysis to optimize authentication flows.

Vincent Delitz

Vincent

Created: July 9, 2024

Updated: December 10, 2025

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1. Introduction#

Passkey analytics provides developers with comprehensive insights into authentication flows, user behavior, and adoption patterns. At Corbado, our management console offers powerful passkey analytics tools designed to help you optimize authentication experiences and increase passkey adoption rates.

From funnel analysis to device insights, our passkey analytics suite leverages passkey intelligence to deliver actionable data that improves user authentication performance.

2. Authentication Funnel Analysis#

The Authentication Funnel Analysis is the centerpiece of passkey analytics, providing a visual representation of all authentication processes and events. This feature functions like process mining for authentication, showing you exactly how users navigate through your system.

Access the Authentication Funnel in your developer panel under Analytics > Funnel. The flowchart displays user paths through different authentication screens, helping you identify bottlenecks and unexpected behavior patterns.

2.1 Key Performance Indicators#

The passkey analytics dashboard displays critical KPIs including:

  • Gradual Rollout progress: Track how many users are eligible for passkeys
  • Passkey Intelligence filtering: Monitor intelligent filtering effectiveness
  • Append rates: Measure passkey creation success rates
  • Usage success: Track successful passkey login attempts
  • Fallback rates: Monitor authentication fallback frequency

2.2 Use Cases for Funnel Analysis#

Initial Implementation Validation

When launching passkeys, verify that users can successfully create and use passkeys. Check for successful passkey appends after conventional logins to ensure your system is functioning properly.

Platform Comparison

Compare passkey analytics across different platforms (web vs. mobile apps) to identify platform-specific issues. For example, if iOS web shows 95% completion but iOS app drops to 70%, this signals an implementation issue requiring investigation.

Passkey Intelligence Policy Evaluation

Analyze how your passkey intelligence configuration affects user flows. High rates of cross-device authentication (CDA) errors or skipped screens indicate policy adjustments may be needed.

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2.3 Additional Append Evaluations#

Beyond standard signup and login flows, passkey analytics tracks:

  • Auto-healing appends: Passkey creation after authentication errors
  • Hybrid authentication appends: Passkey creation following QR code and Bluetooth proximity verification
  • Account settings appends: Manual passkey creation within user profiles

3. Device Analytics#

Device Analytics provides insights into user login patterns and passkey activation rates across different user segments. This passkey analytics section helps you understand who actively uses your platform and how they engage with passkeys.

3.1 Login Activity Segmentation#

The analytics dashboard segments login activity into three categories:

  • Web-only login activities: Users who exclusively access via web browsers
  • App-only login activities: Users who only use native applications
  • Combined activities: Cross-platform user behavior

Each segment breaks down users by login frequency over 12 months:

  • 1 login
  • 2 logins
  • 3 logins
  • 4-10 logins
  • 11-20 logins
  • 20+ logins (power users)

Month-over-month percentage changes show growth or decline trends, helping you identify whether power users or occasional users drive passkey adoption.

3.2 Passkey Usage Patterns#

For each login frequency segment, passkey analytics divides users into four activation states:

  • Neither created nor used: Single-login users with no passkey interaction
  • Append-only: Users who created a passkey but never used it for login
  • Minority usage: Users with passkeys who use them less than 50% of the time
  • Majority usage: Users who authenticate with passkeys more than 50% of logins

This granular passkey analytics data reveals which user segments embrace passkeys and where you need to improve activation efforts.

3.3 Platform and Device Insights#

Device analytics provides detailed breakdowns by:

  • Operating systems: iOS, Android, Windows, macOS
  • OS versions: Specific version distribution
  • Browser usage: Which browsers complete successful logins
  • Passkey readiness: Percentage of devices capable of passkey authentication
  • Device authentication methods: Face ID, biometrics, PIN codes, or none

This passkey analytics information helps convince stakeholders that users actively employ biometric authentication on their devices.

4. Activation Analytics#

Activation Analytics focuses on increasing passkey activation rates, one of three core KPIs for passkey analytics (alongside usage rates and error rates). This section helps you monitor and optimize how effectively users create passkeys when prompted.

4.1 Append Rate Analysis#

The append rate measures the percentage of users who create a passkey when shown the creation screen. Passkey analytics displays append rates as both relative percentages and absolute numbers, split by platform (web, native apps).

Track append rates across multiple presentation attempts:

  • First append screen: Initial passkey creation prompt
  • Second append screen: Users who skip the first opportunity
  • Third, fourth, and fifth+ screens: Subsequent creation attempts

Even users who decline initial prompts often create passkeys on later screens, with double-digit conversion rates persisting through multiple presentations.

4.2 User Activation Rate#

The user activation rate shows the percentage of your entire user base who have created at least one passkey. Higher activation rates directly correlate with increased passkey login opportunities.

4.3 Platform-Specific Activation Insights#

Passkey analytics breaks down activation rates by operating system and version, enabling you to:

  • Compare append rates across iOS, Android, Windows, and macOS
  • Identify OS-specific issues affecting passkey creation
  • Detect problematic OS versions requiring attention
  • Proactively address implementation flaws before they affect more users

This granular passkey analytics approach ensures you can spot and resolve activation barriers quickly.

5. Login Analytics#

Login Analytics tracks passkey usage rates and performance metrics, providing insights into how effectively users authenticate with passkeys versus fallback methods.

5.1 Passkey Login Rate#

The core metric in login analytics is the passkey login rate—the percentage of authentication attempts completed using passkeys. This passkey analytics metric appears across all active platforms with both trend charts and absolute numbers.

5.2 Login Initiation Methods#

Passkey analytics tracks how users start their authentication:

  • Conditional UI (Autofill): Users selecting passkeys from autofill suggestions
  • One-Tap Button: Username-less authentication for returning users
  • Passkey Overlay (Native Apps): Platform-specific authentication prompts
  • Text Field Login: Traditional username entry followed by passkey authentication

Understanding initiation methods helps optimize your authentication UX based on actual usage patterns.

5.3 Performance Comparison#

Login analytics compares passkey authentication speed against non-passkey methods, typically showing passkeys are 4-5x faster. Passkey analytics displays performance metrics including:

  • 25th percentile login times
  • Median (50th percentile) times
  • 90th percentile times
  • Average speed improvement

5.4 Operating System Performance#

Compare passkey login rates and initiation methods across different operating systems to identify platforms where optimization is needed. If certain OS versions show significantly lower passkey usage, your passkey analytics data guides targeted improvements.

6. Passkey Insights#

Passkey Insights provides deep visibility into the characteristics and nature of passkeys created in your project. This passkey analytics section helps you understand how users store and manage their passkeys.

6.1 Authenticator Distribution#

Passkey analytics shows where users store their passkeys through detailed authenticator breakdowns:

  • iCloud Keychain: Dominant for iOS and macOS users
  • Google Password Manager: Primary for Android users
  • Windows Hello: Common for Windows devices
  • Third-party password managers: 1Password, Bitwarden, Dashlane, and others

Pie charts display authenticators with over 5% market share, while detailed tables show the complete distribution including exotic password managers.

6.2 Multi-Dimensional Analysis#

Combine authenticator data with additional dimensions:

  • Authenticator + Operating System: See which OS versions use specific authenticators
  • Authenticator + Browser: Understand browser preferences for each authenticator
  • Sync Status + Operating System: Identify which platforms sync passkeys

This passkey analytics depth helps you understand user preferences and plan for password manager compatibility.

6.3 Hybrid Passkey Rate#

The hybrid passkey rate shows the percentage of passkeys capable of cross-device authentication via QR codes and Bluetooth. High hybrid rates ensure users can authenticate on devices without platform authenticators.

6.4 Synced Passkey Rate#

The synced passkey rate measures passkeys stored in cloud accounts or password managers with backupState and backupEligible flags set to true. Synced passkeys enable seamless authentication on new devices.

As of November 2025, Windows Hello doesn't sync passkeys by default, creating device-bound credentials. However, some Windows users employ third-party password managers that provide sync functionality.

6.5 Transport Methods#

Passkey analytics tracks transport capabilities:

  • Hybrid transport: Cross-device authentication via QR code and Bluetooth
  • Internal transport: Device-local authentication
  • Platform-specific combinations: How different OS versions support various transports

6.6 Time Series Analysis#

Beyond static snapshots, passkey analytics offers time series views (daily, weekly, monthly) showing how passkey characteristics evolve:

  • Track authenticator adoption trends
  • Monitor sync rate changes after OS updates
  • Identify sudden shifts in transport method distribution
  • Correlate changes with your implementation updates

This temporal passkey analytics perspective helps you understand the impact of OS updates, feature releases, and policy changes on your passkey ecosystem.

7. Conclusion#

Comprehensive passkey analytics empowers developers to optimize authentication experiences and maximize passkey adoption. The Corbado Connect management console provides all the passkey analytics tools you need—from funnel analysis and device insights to activation tracking and login metrics.

By leveraging these passkey analytics capabilities, you can proactively identify issues, compare platform performance, and make data-driven decisions that improve user authentication. Whether you're validating initial implementations or scaling to millions of users, our passkey analytics suite gives you the visibility required for success.

Ready to harness the power of passkey analytics? Visit our website to explore our management console and start optimizing your passkey implementation today.

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