---
url: 'https://www.corbado.com/kpi/passkey-enrollment-rate'
title: 'Passkey Enrollment Rate'
description: 'The share of users who create a passkey after being offered enrollment. It is the leading indicator for passkey adoption and future sign-in gains.'
lang: 'en'
keywords: 'Passkey Activation Rate, Passkey Creation Rate'
---

# Passkey Enrollment Rate

## What is the Passkey Enrollment Rate?

**Passkey Enrollment Rate (PER)** (also often called **Passkey Activation Rate** or
**Passkey Creation Rate**) measures how often users who are offered a chance to create a
passkey actually complete enrollment. It is the gateway metric for
[passkey adoption](https://www.corbado.com/blog/passkey-adoption-business-case) because enrollment is the moment
users get access to faster sign in and stronger account protection. Simply providing
passkeys as an option does not guarantee adoption. Users rarely seek out new login methods
by themselves.

> **Key facts on Passkey Enrollment Rate**
> 
> - **What it captures**: The share of offered users who successfully
>   [create a passkey](https://www.corbado.com/blog/passkey-creation-best-practices). It also often called Passkey
>   Activation Rate or [Passkey Creation](https://www.corbado.com/blog/passkey-creation-best-practices) Rate.
> - **Primary use**: Validate enrollment UX and prompting strategy
> - **Interpretation**: Higher is better, the rate depends heavily on nudge type and timing

## Where does the Passkey Enrollment Rate fit in the login funnel?

We measure **Passkey Enrollment Rate** across the enrollment funnel that starts when a
user is shown an enrollment offer (e.g. screen with "Do you want to
[create a passkey](https://www.corbado.com/blog/passkey-creation-best-practices)?") and ends when the passkey is
successfully registered to the user account. Measurement boundary: from
`Passkey Offer shown` to `Passkey enrolled` within the chosen time window.

[Passkey enrollment](https://www.corbado.com/blog/passkey-creation-best-practices) can happen in several
contexts. The most effective is the
[post-login nudge](https://docs.corbado.com/passkey-ui-flows/native/passkey-creation/non-mfa)
where users are prompted to [create a passkey](https://www.corbado.com/blog/passkey-creation-best-practices)
immediately after authenticating with a non-passkey method. Companies like Amazon, Google
and Microsoft rely heavily on this approach. Other contexts include signup flows, after
[password reset](https://www.corbado.com/blog/password-reset-increase-customer-retention), settings pages or
in-app banners.

Passive approaches like offering the
[passkey creation](https://www.corbado.com/blog/passkey-creation-best-practices) in the account settings alone
yield very low enrollment rates, while post-login prompts can reach significantly higher
acceptance. For a comprehensive guide on nudge strategies, see our
[passkey creation](https://www.corbado.com/blog/passkey-creation-best-practices) best practices.

## How to calculate the Passkey Enrollment Rate?

We calculate **Passkey Enrollment Rate** per unique user. Each user is counted at most
once in the numerator and denominator for the selected window, for example ever enrolled
or enrolled within 30 days of first offer.

> $$\text{PER}=\frac{\text{Enrolled Users}}{\text{Users offered Passkey Opportunity}}$$

`Enrolled Users` is the number of unique users who completed passkey registration.
`Users offered Passkey Opportunity` is the number of unique users who were actually shown
an offer that could lead to [passkey enrollment](https://www.corbado.com/blog/passkey-creation-best-practices).

### Numerator: Enrolled Users

Count a user when `Passkey Enrollment completed` is logged and the credential is
registered to the account. If a user enrolls on multiple devices, we still count only one
enrolled user. Do not count starts, client side creation without server registration or
failed attempts.

### Denominator: Users offered Passkey Opportunity

Count a user when `Passkey Offer shown` is logged, meaning the user could realistically
proceed. Do not count users who were only eligible in theory, users on unsupported devices
or users who never saw the offer due to rendering or delivery issues.

### How to use Passkey Enrollment Rate to improve outcomes

**Passkey Enrollment Rate (PER)** tells you one thing:\
**When users see a real offer to create a passkey, how many actually finish creating it?**

Use PER to decide **where to place prompts**, **how to message value** and **what to fix
in the enrollment flow** so more users end up with a passkey.

What the [Passkey Enrollment](https://www.corbado.com/blog/passkey-creation-best-practices) Rate helps you
improve

- **More successful sign-ins (more passkey usage later)**
    - If PER is low in an important cohort (e.g. repeat buyers, high-LTV users), your
      prompt timing or placement is probably wrong.
    - Action: test where you ask (post-login usually wins) and _how_ you explain the
      benefit of passkeys

- **Less drop-off during enrollment**
    - If many users see the offer but don’t start, the offer isn’t compelling or clear.
    - Action: simplify the screen, reduce anxiety (e.g. "it only takes one tap") and make
      the benefit obvious (e.g. “faster login next time”).

- **Fewer support tickets**
    - If users start but don’t complete, it’s often platform-specific issues, confusing
      errors or weak retry UX.
    - Action: improve error messages, add retry paths, handle OS/browser edge cases and
      show “what to do next”.

- **Lower OTP / reset costs**
    - More enrolled users usually means fewer
      [password resets](https://www.corbado.com/faq/passkeys-reduce-password-resets-otp-costs) and fewer OTP
      sends over time.
    - Action: increase PER in flows that reach lots of users (especially post-login).

- **Lower fraud exposure**
    - If risky users aren’t enrolling, you’re missing the chance to harden accounts.
    - Action: prioritize enrollment prompts for higher-risk segments (with care to avoid
      annoying everyone).

### Blindspots and common pitfalls of Passkey Enrollment Rate

- **Intent bias**: Users who see the offer are not random, especially if we only prompt
  after certain behaviors, so the rate can look healthier than true population readiness.
- **Missing telemetry**: If `Passkey Offer Shown` is not logged consistently across
  clients, the denominator shrinks and the rate inflates.
- **Platform differences**: Mobile users typically show higher acceptance rates than
  desktop users. A shift in traffic mix can move the KPI without any
  [UX improvement](https://www.corbado.com/faq/benefits-passkeys-in-iframes).
- **Nudge type conflation**: Comparing enrollment rates across different nudge types
  without segmentation is misleading. Post-login prompts perform very differently from
  settings page offers.
- **Skip and cooldown logic**: If users skip an offer, how long before they see another
  matters. Too aggressive prompting causes frustration, too passive means missed
  opportunities.
- **Window confusion**: Ever enrolled and enrolled within 30 days answer different
  questions, mixing them breaks trend interpretation.