How can Nordstrom enhance its mobile app to make personalized product recommendations more accurate?

Introduction

To enhance Nordstrom's mobile app for more accurate personalized product recommendations, we need to dive deep into user behavior, data utilization, and advanced recommendation algorithms. I'll outline a strategic approach to improve this critical feature, considering user segments, pain points, and innovative solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at Nordstrom's position in the market, I'm thinking about their unique value proposition. Could you help me understand what sets Nordstrom apart from other luxury retailers in terms of their mobile app experience?

Why it matters: Determines the direction of our personalization strategy Expected answer: Nordstrom's app focuses on a seamless omnichannel experience Impact on approach: Would emphasize integrating in-store and online data for recommendations

• Considering the importance of data in personalization, I'm curious about the current data sources. What types of user data does Nordstrom currently collect and utilize for its recommendation engine?

Why it matters: Identifies potential gaps in data collection and usage Expected answer: Purchase history, browsing behavior, and basic demographic information Impact on approach: Would explore additional data sources or advanced analytics techniques

• Given the evolving nature of e-commerce, I'm wondering about the app's current performance. What are the key metrics Nordstrom is looking to improve with enhanced personalized recommendations?

Why it matters: Aligns our solution with specific business goals Expected answer: Increase in average order value and customer retention rate Impact on approach: Would focus on recommendations that drive higher-value purchases and repeat visits

• Considering the competitive landscape, I'm thinking about industry benchmarks. How does Nordstrom's current recommendation accuracy compare to industry standards or key competitors?

Why it matters: Sets a baseline for improvement and identifies competitive gaps Expected answer: Slightly below industry average with room for improvement Impact on approach: Would prioritize quick wins while planning for long-term innovation