Context
Repeat customers don't behave like first-time visitors. They arrive with purchase memory, previous prescriptions, and brand familiarity, but the product treated them almost identically to someone discovering the brand for the first time. The same flows, the same messaging, the same friction.
For an eyewear D2C business where repeat purchases involve prescriptions, measurements, and previous frame history, this was a real gap.
Problem
- The product experience didn't differentiate between new and returning customers at the moments that mattered most.
- Analytics showed opportunity in the repeat-customer funnel but didn't point to specific friction. The data was there; the interpretation wasn't.
- The team was optimizing at the page level (PDPs, cart, checkout) rather than across the full journey from returning intent to completed purchase.
Approach
Mapped the full repeat-customer journey, not as a UX exercise, but as a shared document that product, engineering, and marketing could work from. Identified friction across journey steps using analytics and qualitative signals, then prioritized fixes by commercial impact rather than UX severity.
Decisions
- Focus on friction that had measurable stakes. Not every customer journey problem is worth the same effort.
- Keep the experience consistent across Mexico, Chile, and Colombia while recognizing that each market has different return rates and different reasons customers come back.
- Use the journey map as a living product reference, not a one-time audit artifact.
Impact
- 30% increase in repeat-customer conversion.
- A shared model of how returning customers move through the product, used by both product and marketing for subsequent decisions.
- A prioritization framework the team applied to future funnel work, not just the original scope.