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Product Management Improvement Question: Streamlining Trouva's checkout process to reduce cart abandonment rates

In what ways can we streamline the checkout process on Trouva to reduce cart abandonment rates?

Product Improvement Medium Member-only
User Journey Mapping Data Analysis Solution Prioritization E-commerce Retail Fashion
User Experience Marketplace Conversion Rate E-Commerce Optimization Checkout Process

Introduction

To streamline the checkout process on Trouva and reduce cart abandonment rates, we need to carefully analyze user behavior, identify pain points, and implement targeted solutions. I'll approach this challenge by examining key user segments, mapping the current checkout journey, and proposing data-driven improvements that align with Trouva's business goals and user needs.

Step 1

Clarifying Questions

  • Looking at Trouva's position as a marketplace for independent boutiques, I'm curious about the current user base composition. Could you share insights on the split between first-time buyers and repeat customers?

Why it matters: This will help us tailor solutions for different user familiarity levels. Expected answer: 60% repeat customers, 40% new users. Impact on approach: Higher repeat customers would focus on streamlining for familiarity, while more new users would emphasize clarity and trust-building.

  • Considering the unique nature of Trouva's multi-boutique model, I'm wondering about the average cart composition. What percentage of orders contain items from multiple boutiques versus a single boutique?

Why it matters: Multi-boutique orders might introduce complexity in shipping and pricing calculations. Expected answer: 30% of orders contain items from multiple boutiques. Impact on approach: Higher multi-boutique orders would prioritize solutions for consolidated shipping and clear fee structures.

  • Given the focus on reducing cart abandonment, I'm interested in understanding the current checkout funnel metrics. What's our current cart abandonment rate, and at which step in the process do we see the highest drop-off?

Why it matters: Identifies the most critical areas for improvement in the checkout flow. Expected answer: 70% cart abandonment rate, with highest drop-off at shipping cost display. Impact on approach: Would focus on optimizing the specific high-drop-off steps and addressing related user concerns.

  • Considering Trouva's unique value proposition of curated, independent boutique items, I'm curious about the price point distribution of products in abandoned carts. Are we seeing higher abandonment rates for certain price ranges?

Why it matters: Helps identify if price sensitivity is a major factor in abandonment. Expected answer: Higher abandonment rates for items over £100. Impact on approach: Would explore solutions like installment payments or clearer value propositions for higher-priced items.

Tip

At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.

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