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Mobile Conversion Architecture

No single decision drives conversion. It comes from designing the right conditions to work together as a system, making conversion inevitable.

The problem I solved

The quote form was the highest-intent moment in the mobile journey, as this is where customers decide, not browse. I designed a scalable end-to-end experience to reduce friction, reinforce trust, and protect conversion at every step. The system was designed to scale across multiple DTC insurance brands, not just one product. This matters because ~60% of our traffic came from mobile.

What I did

Key UX & Conversion Drivers

Features at a Glance

Auto-save

Resume later without re-entry. Great for interruptions and flaky connectivity.

SMS nudges

Gentle re-engagement for abandoned quotes. High intent, low pressure.

Voice input

Accessibility plus multitasking support. Improves ease on mobile.

Auto-save

Resume later without re-entry. Great for interruptions and flaky connectivity.

Drop-off visibility

See exactly where users exit the form. Enables targeted UX fixes.

Device-level insight

Separates mobile and desktop behavior so optimization reflects real patterns.

Trust-first CTAs

CTA color and language tuned for confidence in high-intent moments.

UX-revenue alignment

Connects form completion to downstream conversions grounded in revenue outcomes.

Designing the Space Between
Demand and Conversion

Sales creates demand. Engineering delivers capability. UX determines whether people can confidently act on intent.

As the sole designer on the DTC team, I led the full enterprise redesign of the direct-to-consumer auto insurance platform, launched April 2024. In the months that followed, written premium grew from $24.6M to $76.4M and applications nearly tripled from 17,842 to 48,837. This mobile architecture was designed to push those numbers further, reducing mid-flow abandonment, improving downstream agent conversion, and building a framework scalable across every DTC brand in the portfolio.

  1. Increased mobile form completion by reducing mid-flow abandonment.
  2. Increased mobile form completion by reducing mid-flow abandonment.
  3. Reduced silent revenue loss caused by default framework behaviors.
  4. Strengthened trust signals at high-intent moments.
  5. Lowered error rates through clearer decision states.
  6. Improved downstream agent conversion.
  7. Expanded accessibility.
  8. Enabled precise drop-off visibility.
Mobile conversion rate optimization case study visual