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CASE STUDIES

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2024

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Polo Motorrad

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CASE STUDIES

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2024

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Polo Motorrad

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CASE STUDIES

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2024

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Polo Motorrad

How a design update helped a Motorcycle brand cut support tickets by 41%

Why it worked We removed the decision bottleneck (fit uncertainty) without touching the brand or stack: same design, same speed—just completion-proof flows that make buying parts as simple as riding.

Why it worked We removed the decision bottleneck (fit uncertainty) without touching the brand or stack: same design, same speed—just completion-proof flows that make buying parts as simple as riding.

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CLIENT

Polo Motorrad

Visit site

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SERVICES

E-commerce

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OVERVIEW

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OVERVIEW

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OVERVIEW

Overview

For POLO Motorrad’s online shop we built a “My Bike Garage”: riders save their bikes (make/model/year) and instantly see only compatible parts across categories and PDPs. The hard constraint: preserve the existing design and platform—no rebrand, no replatform.

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CHALLENGES

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CHALLENGES

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CHALLENGES

Where Shoppers Were Dropping

Uncertainty about fit led to low add-to-cart, high returns, and “Does this fit my bike?” support load. Filters were brittle on mobile; PDPs repeated specs without a clear fits/doesn’t fit signal. Any UI had to blend into the current design system and respect performance budgets.

How can we lift conversion and cut fitment-related returns by ~20–30%—while keeping POLO’s current design and platform intact?

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SOLUTIONS

How We Shipped It in 5 Weeks

  • Data model & mapping: normalized Make/Model/Year + OEM/MPN mappings; graceful fallbacks for unknown trims.

  • Session & account storage: quick “Add your bike” on PLP/PDP; garage persists across devices when logged in.

  • System-aligned UI (no redesign): tokens/spacing/typography from POLO’s DS; new elements as PDP badges (“Fits your bike”), compatibility panel, and auto-filters on category pages—all visually indistinguishable from existing components.

  • Behavioral details: when a garage bike is active → auto-filter compatible items; incompatible items collapse with a one-tap “Show all.”

  • Instrumentation & A/B: events for add-bike, compatibility views, add-to-cart, returns reason codes.

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RESULTS

What Changed (By the Numbers)

  • +29% add-to-cart rate for sessions with an active garage bike

  • +18% conversion among garage users (vs. control)

  • –27% fitment-related returns in targeted categories

  • –41% “Will it fit my bike?” support contacts

  • 68% mobile adoption of “Add your bike” in first 30 days

–27%

fitment-related returns in targeted categories

–41%

“Will it fit my bike?” support contacts

68%

mobile adoption of “Add your bike” in first 30 days