Benchmarks tell you what happened to somebody else. Adoption Forecast starts from your own traffic and projects your passkey login share month by month, so you promise the board a curve with dates on it.
Grounded on your measured device mix
Enrollment, login UX and frequency as levers
Projection over 6 to 48 months
The expectation gap
Teams ship passkeys without doing the math and adoption stalls in the single digits. Adoption Forecast computes the ceiling upfront and Executive Reporting proves the trajectory after launch.
Platform readiness times enrollment times usage caps your passkey login share. The forecast makes each factor explicit and editable.
OS share and platform availability come from your live logins. Only the levers you actually control are assumptions.
Users who sign in once a year never see enough prompts to enrol. The forecast separates them from the users your rollout can win.
What is measured, what you assume and what comes out.
Per-OS login share and local platform authenticator availability, measured on your own traffic. Override any cell to model a what-if and snap back to the API value.
Common questions about projecting passkey adoption
Project your passkey login share from your real traffic. Then track the rollout against it with Executive Reporting.