FintechProduct

Biometric login adoption

Tracking how many users enable FaceID vs. typing a PIN.

Who is this for?

Product teams improving authentication UX while maintaining security.

What problem does it solve?

Understand biometric adoption to improve login experience and security posture.

AI-Powered Insights

Ask Questions, Get Answers Instantly

See how Mitzu helps you analyze this use case directly in Slack or your favorite tools.

#analytics
Scroll to see the animation
Questions You Can Answer

Key Insights & Dashboards

Ask these questions in natural language and get instant, AI-powered insights from your data warehouse.

Question

What's adoption?

Insight

64.8% of iOS users enabled FaceID vs only 38% TouchID on Android.

Question

Does it improve UX?

Insight

Biometric users log in 2.3x more frequently than PIN users.

Question

What drives adoption?

Insight

Users prompted after successful transaction enable biometrics 45% more.

Business Impact

Expected ROI

Organizations using this use case typically see measurable improvements in these areas.

Increase biometric adoption to 80%

Reduce login friction by 60%

Improve daily active users by 25%

Data Requirements

What You'll Need

To use this analysis, ensure your warehouse contains the following data. Mitzu will automatically detect and map these fields.

  • Login method events
  • Biometric setup events
  • Device information
  • User retention data
Schema Mapping
user_id→ required
timestamp→ required
event_type→ required
properties→ optional

Ready to try this use case?

Connect your warehouse and start analyzing in minutes. Our AI will help you get insights fast.