80% drop-off
Users abandoned before purchase because the app asked for commitment before proving value.
Global YO's eSIM app had a conversion problem that was not really about speed. Users needed confidence before paying: can I browse first, is this plan right, what does the reward discount mean, and will installation work on my phone?
The source case showed five friction points: onboarding, plan browsing, forced login, checkout rewards, and installation. I recast them as a confidence system, not a collection of screens.
Users abandoned before purchase because the app asked for commitment before proving value.
No account required until checkout.
Let users compare plans, prices, and destinations before asking for signup.
Local, Regional, and Global made the app match how travelers actually shop.
100 YOYO$ = $1
The discount became explicit, not a mysterious slider.
Device-aware instructions turned a paid-but-stuck moment into a clear activation path.
The fastest checkout was not the best checkout.
A little friction at the right moment reduced uncertainty and improved completion.
The redesigned flow used productive friction selectively. Browse freely, decide with clarity, then activate with device-specific help.
Users could browse plans, compare destinations, and understand coverage before creating an account. Signup moved to checkout, after the product had earned intent.
The old plan structure hid global plans inside ambiguous browsing paths. The segmented control made the mental model visible.
The rewards slider caused people to stop and calculate. The redesigned checkout made the conversion rate and discount explicit.
Text-heavy instructions became a guided setup with device-specific steps, progress, and recovery paths.
The final IA is simple: browse without pressure, choose with clear plan types, pay with transparent discounts, then activate with device-aware help.
Remove forced signup from the top of funnel.
Match shopping behavior: local, regional, or global.
Show price, discount, and reward math in plain language.
Convert paid users into successfully connected users.
Global YO is the job-facing counterweight to TX-Z and Travel Tiles. It shows growth design, mobile commerce, research, A/B testing, and stakeholder influence.
For unfamiliar purchases like eSIMs, the shortest path is not always the highest converting path. The winning flow slows users down only where the decision is risky: compatibility, rewards, and installation.
Return to the portfolio, compare this commercial growth case with Verizon's safety-critical system, or jump into TX-Z as a creative-tool case.