whats the deal?
Amazon Deals UX Redesign
TL;DR
After years of backend-only changes, I led a customer-facing redesign of Amazon’s Deals experience with the Berlin product team. We introduced a dynamic, standardized badging system that clarifies savings (percent/amount off), adapts to deal type (Lightning, quantity, Prime Day), and updates in real time (countdowns, inventory). The system improved trust and decision speed, driving +$119.5M incremental annual revenue (including +$111.2M from clarity/visibility) and +$16M global revenue from consistency.
Customer Opportunity
Customers struggled to parse deals: inconsistent MSRP/percent-off labels, varied deal types, and confusing multi-item/price-range presentations. They needed a single, reliable way to understand value quickly across pages and deal formats.
Solution
A dynamic badging framework that makes value unmistakable and consistent:
Primary signal: clear savings (e.g., “Save 30%” or “Save $25”) as the focal point.
Secondary signals (context-aware): time remaining, inventory, eligibility, quantity rules.
Real-time behavior: countdowns/alerts and standardized, automated messaging to reduce seller error.
Platform consistency: one visual/behavioral system applied across Search, Category, PDP, and Deals pages.
My Role
Lead Designer (2+ years) partnering with the Berlin product team:
Drove research synthesis, problem framing, and the 1–2 year UX vision.
Defined the badge system (states, variants, rules) and interactive behaviors (countdowns, thresholds).
Prototyped and ran experiments on shapes, hierarchy, and motion to optimize scanability.
Aligned cross-org teams (Search, Retail, Prime/Events) and helped specify an API single source of truth for deal data.
Results & Impact
+$119.5M incremental annual revenue; +$16M global revenue from standardization.
+$111.2M annual deal revenue attributed to improved clarity/visibility.
A consistent deal experience across surfaces, backed by a centralized deals API—reducing cognitive load, errors, and support friction.
Strategic Takeaways
Design for clarity at scale: the biggest wins are often systemic and repeatable.
Standardize the source of truth: UX quality compounds when data and design are unified.
Signal hierarchy matters: lead with value, support with context, adapt with state.
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