---
url: 'https://www.corbado.com/blog/passkey-analytics'
title: 'Passkey Analytics: Track Adoption, Funnels & Login KPIs'
description: 'Passkey analytics guide: measure activation rates, login success & device insights. Track the three core KPIs across iOS, Android & Windows in real-time.'
lang: 'en'
author: 'Vincent'
date: '2024-07-09T12:51:13.325Z'
lastModified: '2026-04-01T06:00:31.736Z'
keywords: 'passkey analytics'
category: 'Passkeys Strategy'
---

# Passkey Analytics: Track Adoption, Funnels & Login KPIs

## Key Facts

- Three core KPIs for passkey analytics: **activation rate** (passkeys created when
  prompted), **usage rate** (logins completed via passkey) and error rate.
- Login analytics shows passkeys authenticate **4-5x faster** than password-based flows,
  tracked at 25th percentile, median and 90th percentile speed measurements.
- The **'nth screen' effect** shows double-digit conversion rates persist even on the
  fourth passkey creation prompt, justifying repeated prompting without aggressive
  tactics.
- **GA4** processing imposes 24-48 hour delays and caps unique error values at 500, making
  it insufficient for real-time passkey KPI monitoring.
- As of January 2026, **Windows Hello** does not sync passkeys by default, creating
  device-bound credentials unless users employ third-party password managers.

## 1. Introduction: Passkey Analytics

Passkey analytics provides product, identity and security professionals with comprehensive
insights into passkey authentication flows, user behavior and adoption patterns.
[Corbado's management console](https://app.corbado.com) 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 delivers actionable data
that improves authentication performance. For broader authentication measurement
strategies beyond passkeys, see our
[authentication analytics](https://www.corbado.com/blog/authentication-analytics-playbook) playbook.

## 2. Authentication Funnel Analysis

The **Authentication Funnel Analysis** is one of the most important aspects 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 in a very graphical and understandable way.

Access the Authentication Funnel Analysis in the
[Corbado management console](https://app.corbado.com/stats/funnel) under **Analytics >
Funnel**. The flowchart displays user paths through different authentication screens,
helping you identify bottlenecks and unexpected behavior patterns.

[Watch on YouTube](https://www.youtube.com/watch?v=wnrXJzvBjsU)

The video above demonstrates the Funnel Analysis feature, showing how to visualize
authentication flows in a funnel. You can see exactly how users move through signup, login
and passkey append screens identifying where drop-offs occur and which paths lead to
successful authentication.

### 2.1 Key Performance Indicators

The passkey analytics dashboard displays critical KPIs including:

- **Gradual Rollout progress:** Track how many users are eligible for passkeys in your
  current rollout size
- **Passkey Intelligence filtering:** Monitor intelligent filtering effectiveness of your
  smart passkey prediction and decision engine
- **Append rates:** Measure [passkey creation](https://www.corbado.com/blog/passkey-creation-best-practices)
  success rates
- **Usage success:** Track successful [passkey login](https://www.corbado.com/blog/passkey-login-best-practices)
  attempts
- **Fallback rates:** Monitor
  [authentication fallback](https://www.corbado.com/faq/fallback-management-user-trust-passkey-retention)
  frequency

### 2.2 Use Cases for Funnel Analysis

In the following, you find three very common uses for the Authentication Funnel Analysis.

#### 2.2.1 Use Case 1: Initial Implementation Validation

When launching passkeys, verify that users can successfully create and use passkeys. Start
on the left side of the funnel and follow the "happy path": Was the user included in
[gradual rollout](https://www.corbado.com/faq/gradual-rollout-support-passkey-adoption)? Did
[passkey intelligence](https://docs.corbado.com/corbado-connect/features/passkey-intelligence)
allow the passkey prompt? Did the user successfully
[create a passkey](https://www.corbado.com/blog/passkey-creation-best-practices)? This validation ensures your
system is functioning before scaling to more users.

#### 2.2.2 Use Case 2: Passkeys vs. Legacy Authentication

Compare authentication success rates between users with passkeys and those using fallback
methods (e.g. passwords, OTPs). In typical deployments, users with at least one passkey
show significantly higher login success rates. This data helps convince
[stakeholders](https://www.corbado.com/blog/passkeys-stakeholder): "If we increase
[passkey adoption](https://www.corbado.com/blog/passkey-adoption-business-case), the overall authentication
success rate improves."

Clicking on any node in the funnel reveals detailed metrics: completion rates over the
filtered period, 12-month averages and month-over-month changes. Red triangle indicators
flag nodes contributing to most authentication failures (often fallback methods for users
without passkeys).

#### 2.2.3 Use Case 3: Cross-Device Authentication Optimization

Analyze cross-device authentication (CDA) flows where users scan QR codes and use
Bluetooth proximity checks. If CDA completion rates are low (e.g. 42%) or error rates high
(e.g. 25%), this signals a need to improve copy, user education or investigate technical
issues. High skip rates indicate users aren't understanding or trusting the cross-device
flow.

### 2.3 Funnel Segmentation

Compare passkey analytics across different platforms (web vs. mobile apps) to identify
platform-specific issues. For example, if [iOS](https://www.corbado.com/blog/webauthn-errors) web shows 95%
completion but [iOS](https://www.corbado.com/blog/webauthn-errors) app drops to 70%, this signals an
implementation issue requiring investigation.

### 2.4 Edge and Trend Analysis

Beyond clicking nodes, you can click the **edges** (connections between nodes) to see how
metrics evolve over time. For example, clicking the edge showing "users with at least one
passkey" reveals:

- Current percentage of users with passkeys (e.g. 58.9%)
- 12-month trend showing whether adoption is growing or declining
- Monthly and 30-day comparisons to spot sudden drops

A decline in April might indicate an OS update that broke
[passkey creation](https://www.corbado.com/blog/passkey-creation-best-practices) or a change in your
implementation that inadvertently reduced adoption. Spotting these patterns proactively
prevents issues from affecting more users.

### 2.5 Additional Append Evaluations

Beyond standard signup and login flows, passkey analytics tracks:

- **Auto-healing appends:** [Passkey creation](https://www.corbado.com/blog/passkey-creation-best-practices)
  after authentication errors
- **Hybrid authentication appends:** Passkey creation following
  [QR code](https://www.corbado.com/blog/qr-code-login-authentication) 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.

[Watch on YouTube](https://www.youtube.com/watch?v=KLw80zm-WXA)

The Device Analytics video walks through login frequency segmentation, showing how to
identify power users (20+ logins) versus occasional users (1-3 logins) and correlate this
with passkey activation states. This helps answer questions like "Are power users more
likely to adopt 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](https://www.corbado.com/blog/passkey-adoption-business-case).

### 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](https://www.corbado.com/blog/webauthn-errors),
  [Android](https://www.corbado.com/blog/how-to-enable-passkeys-android), Windows, macOS
- **OS versions:** Specific version distribution
- **Browser usage:** Which browsers complete successful logins
- **Passkey readiness:** Percentage of devices capable of passkey authentication

For native apps, device analytics reveals how users have configured device authentication:

- **Biometrics (e.g. Face ID):** Users with
  [biometric authentication](https://www.corbado.com/blog/passkeys-biometric-authentication) enabled
- **PIN / Passcode:** Users relying on numeric codes or PIN patterns
- **None:** Small minority with no device lock (typically less than 1% on modern devices)

This passkey analytics information helps convince
[stakeholders](https://www.corbado.com/blog/passkeys-stakeholder) that users actively employ
[biometric authentication](https://www.corbado.com/blog/passkeys-biometric-authentication) on their devices,
addressing concerns that "users won't use biometrics" with concrete data from your own
user base.

## 4. Activation Analytics

**Activation Analytics** focuses on increasing passkey activation rates, one of three core
KPIs for passkey analytics (alongside passkey usage rates and
[passkey error](https://www.corbado.com/blog/passkey-troubleshooting-solutions) rates). This section helps you
monitor and optimize how effectively users create passkeys when prompted.

[Watch on YouTube](https://www.youtube.com/watch?v=hChnrAoYjR8)

This video demonstrates how to track append rates across multiple presentation attempts.
You'll see how activation rates vary by platform (iOS,
[Android](https://www.corbado.com/blog/how-to-enable-passkeys-android), Windows, macOS) and how to identify
OS-specific issues affecting passkey creation.

### 4.1 Append Rate Analysis

The **append rate** measures the percentage of users who
[create a passkey](https://www.corbado.com/blog/passkey-creation-best-practices) 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 passkey creation opportunity
- **Third, fourth, and fifth+ screens:** Subsequent creation passkey attempts

**The "nth screen" effect:** Users don't always create passkeys the first time they see
the prompt. Some need a second, third or fourth exposure before deciding. Analytics show
that even on the fourth append screen, double-digit
[conversion rates](https://www.corbado.com/blog/logins-impact-checkout-conversion) persist. This insight
justifies showing passkey prompts multiple times rather than giving up after a single
decline. Persistence pays off without aggressive prompting.

### 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](https://www.corbado.com/blog/passkey-login-best-practices) 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](https://www.corbado.com/blog/how-to-enable-passkeys-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.

[Watch on YouTube](https://www.youtube.com/watch?v=sjGkezOy8xs)

The Login Analytics video shows real-world [passkey login rate](https://www.corbado.com/kpi/passkey-usage-rate)
data comparing authentication speed between passkey and non-passkey methods. Typically,
passkeys complete 4-5x faster than password-based flows.

### 5.1 Passkey Login Rate

The core metric in login analytics is the **passkey login rate** (passkey usage rate).
It's 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 browser autofill
  suggestions
- **One-Tap Button:** Username-less authentication where returning users click a single
  button and the passkey flow starts automatically (available in web only)
- **Passkey Overlay (Native Apps):** On iOS/Android apps, the platform's native credential
  selector appears instead of a
  [one-tap](https://docs.corbado.com/corbado-connect/features/one-tap-login) button
- **Text Field Login:** Traditional flow where users enter a username and click login,
  then complete passkey authentication

Comparing initiation methods reveals UX optimization opportunities. If most users default
to text field login despite having passkeys, improving
[one-tap](https://docs.corbado.com/corbado-connect/features/one-tap-login) button
placement could streamline authentication.

### 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](https://www.corbado.com/blog/passkey-login-best-practices) 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 app. This passkey analytics section helps you understand how
users store and manage their passkeys.

[Watch on YouTube](https://www.youtube.com/watch?v=V1Pc4Gl0xKc)

This video explores [authenticator](https://www.corbado.com/glossary/authenticator) (credential manager)
distribution (e.g. [iCloud Keychain](https://www.corbado.com/glossary/icloud-keychain),
[Google Password Manager](https://www.corbado.com/blog/how-to-use-google-password-manager),
[Windows Hello](https://www.corbado.com/glossary/windows-hello)), sync status tracking and transport methods.
You'll see how to identify whether passkeys are device-bound or synced across devices
which is critical for understanding recovery scenarios.

### 6.1 Authenticator Distribution

Passkey analytics shows where users store their passkeys through detailed
[authenticator](https://www.corbado.com/glossary/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](https://www.corbado.com/blog/1password-passkeys-best-practices-analysis),
  [Bitwarden](https://www.corbado.com/blog/passkey-analysis-bitwarden-developer-survey-2024),
  [Dashlane](https://www.corbado.com/blog/dashlane-passkeys) and others

Pie charts display [authenticators](https://www.corbado.com/glossary/authenticator) with over 5% market share,
while detailed tables show the complete distribution including exotic password managers.

### 6.2 Multi-Dimensional Analysis

Combine [authenticator](https://www.corbado.com/glossary/authenticator) data with additional dimensions:

- **Authenticator + Operating System:** See which OS versions use specific
  [authenticators](https://www.corbado.com/glossary/authenticator)
- **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](https://www.corbado.com/blog/passkeys-vs-password-managers) 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](https://www.corbado.com/glossary/authenticator).

### 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 January 2026, [Windows Hello](https://www.corbado.com/glossary/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, which determine how passkeys can be used:

- **Hybrid transport:** Passkeys that support cross-device authentication. A user with a
  passkey stored on their iPhone can log in on a laptop by scanning a
  [QR code](https://www.corbado.com/blog/qr-code-login-authentication) and completing a Bluetooth proximity
  check.
- **Internal transport:** Passkeys that only work on the device where they were created
- **Hybrid + Internal:** Passkeys supporting both local and cross-device authentication,
  offering maximum flexibility.

Understanding transport distribution helps predict user experience when they switch
devices. If most passkeys lack hybrid transport, users may not be able to use passkeys on
new devices.

### 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

**Example pattern detection:** Comparing August to September data might reveal a stark
drop in "hybrid + internal" transport and a surge in "non-tech" passkeys. Combining this
with OS version data could pinpoint an iOS update that changed passkey behavior. This
proactive detection prevents you from discovering issues only after users complain.

**Planning changes:** Before excluding third-party password managers or changing passkey
policies, time series data shows exactly how many users would be affected and which
segments rely on specific authenticators.

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

## 7. Comparing Passkey Analytics to generic Tools

While tools like [GA4](https://www.corbado.com/blog/tracking-logins-google-analytics-ga4) can track basic login
events, dedicated passkey analytics offers critical advantages:

| Capability                   | GA4 / Mixpanel                                  | Corbado Passkey Analytics                                  |
| ---------------------------- | ----------------------------------------------- | ---------------------------------------------------------- |
| **Latency**                  | 24-48 hour processing delay                     | Real-time dashboards                                       |
| **Error granularity**        | Limited by cardinality caps (500 unique values) | Unlimited error codes with automatic classification        |
| **Authenticator visibility** | None                                            | Full breakdown (iCloud Keychain, Google PM, Windows Hello) |
| **Passkey-specific KPIs**    | Requires custom implementation                  | Built-in: append rate, login rate, sync status             |
| **Device-bound vs synced**   | Not available                                   | Native tracking via `backupState` flags                    |
| **Cross-device auth (CDA)**  | Cannot detect                                   | Full QR/Bluetooth flow visibility                          |

For teams using [GA4](https://www.corbado.com/blog/tracking-logins-google-analytics-ga4) for marketing
attribution, the ideal setup combines [GA4's](https://www.corbado.com/blog/tracking-logins-google-analytics-ga4)
user journey context with Corbado's authentication-specific observability. See tracking
logins in [GA4](https://www.corbado.com/blog/tracking-logins-google-analytics-ga4) for implementation guidance.

## 8. How Corbado Can Help

For organizations seeking [passkey observability](https://www.corbado.com/blog/authentication-observability),
Corbado provides the analytics capabilities described in this article. It works with any
passkey implementation and any IdP without replacing your identity infrastructure.

### 8.1 Funnel Analysis & KPIs

The SDK integrates via a few lines of JavaScript and captures all passkey events: creation
prompts, authentication attempts, errors and timing data. Visualize authentication as a
multi-step funnel filtered by OS, browser and time range identifying exactly where users
drop off.

### 8.2 Error Classification & Alerting

Automatic classification separates user decisions (e.g. cancelled, skipped) from system
errors (e.g. timeout, platform issues) preventing false alarms. Anomaly detection alerts
you to spikes after OS updates before users complain.

### 8.3 Device & Authenticator Insights

Track passkey distribution across [iCloud Keychain](https://www.corbado.com/glossary/icloud-keychain),
[Google Password Manager](https://www.corbado.com/blog/how-to-use-google-password-manager) and
[Windows Hello](https://www.corbado.com/glossary/windows-hello). Monitor sync rates, transport methods and device
authentication types providing the [stakeholder](https://www.corbado.com/blog/passkeys-stakeholder)-ready data to
drive adoption decisions.

## 9. Conclusion

Comprehensive passkey analytics empowers you to optimize authentication experiences and
maximize [passkey adoption](https://www.corbado.com/blog/passkey-adoption-business-case). The Corbado 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.

## FAQ

### What is passkey analytics?

Passkey analytics tracks [authentication metrics](https://www.corbado.com/blog/authentication-analytics-playbook)
specific to passkey implementations: activation rates (how many users create passkeys),
usage rates (how often passkeys are used for login), error rates and device/authenticator
distribution. Unlike generic analytics, it provides visibility into passkey-specific
behaviors like cross-device authentication and sync status.

### What are the key passkey statistics for 2025?

According to [FIDO Alliance](https://www.corbado.com/glossary/fido-alliance) data from May 2025: 74% of consumers
are aware of passkeys, 69% have enabled at least one passkey, and 53% believe passkeys are
more secure than passwords. Google reported 352% growth in passkey authentications
year-over-year after making passkeys the default login option.

### How do I measure passkey adoption success?

Track three core KPIs:

1. **Activation Rate** (users who create passkeys when prompted)
2. **Usage Rate** (percentage of logins completed with passkeys)
3. **Error Rate** (failed passkey authentications)

Segment by platform to identify OS-specific issues.

### Can I track passkey analytics in Google Analytics?

GA4 can track basic login events but lacks passkey-specific capabilities: no authenticator
distribution, no sync status visibility and no cross-device authentication tracking. GA4
also has 24-48 hour latency and cardinality limits. Use GA4 for marketing attribution and
dedicated [authentication analytics](https://www.corbado.com/blog/authentication-analytics-playbook) tools for
passkey-specific KPIs (e.g. Corbado).

### What is the FIDO Alliance Passkey Index?

The [Passkey Index](https://fidoalliance.org/passkey-index-2025/) launched in October 2025
aggregates passkey utilization data from major service providers including Amazon, Google,
Microsoft, [PayPal](https://www.corbado.com/blog/paypal-passkeys) and [TikTok](https://www.corbado.com/blog/tiktok-passkeys). It
provides industry benchmarks for passkey adoption and business impact metrics.