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Product Management Root Cause Analysis Question: Investigating decline in Levi's customer loyalty program enrollment
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Nextsprints

Updated Jan 22, 2025

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Why has Levi Strauss & Co.'s customer loyalty program enrollment rate declined by 25% compared to the same period last year?

Data Analysis Problem Solving Strategic Thinking Retail Fashion E-commerce
Data Analysis Retail Customer Retention Root Cause Analysis Loyalty Programs

Introduction

Levi Strauss & Co.'s customer loyalty program enrollment rate decline of 25% compared to last year is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the brand's customer retention strategy.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only addresses the immediate concern but also strengthens Levi's overall customer loyalty framework.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Has there been any change in the timing or nature of promotional campaigns compared to last year?

Why it matters: Seasonal variations can significantly impact enrollment rates. Expected answer: No major changes in promotional timing or nature. Impact on approach: If confirmed, we'll need to look deeper into other factors.

  • Considering potential changes in the program itself, have there been any modifications to the loyalty program structure or benefits in the past year?

Why it matters: Changes in program structure could directly affect enrollment appeal. Expected answer: Minor tweaks to point accumulation system. Impact on approach: If significant changes occurred, we'd focus on analyzing their impact.

  • Thinking about the enrollment process, has there been any alteration to the sign-up flow or technical infrastructure supporting it?

Why it matters: Technical issues or UX changes could create friction in the enrollment process. Expected answer: No major changes to the enrollment process. Impact on approach: If changes occurred, we'd prioritize technical and UX investigations.

  • Regarding market dynamics, have you noticed any significant shifts in competitor loyalty programs or marketing strategies?

Why it matters: Competitive pressure could be drawing potential enrollees away. Expected answer: Some competitors have launched new programs. Impact on approach: We'd need to conduct a competitive analysis as part of our investigation.

  • Considering data integrity, can you confirm that the definition of "enrollment rate" has remained consistent and that all systems measuring it are functioning correctly?

Why it matters: Ensures we're comparing apples to apples and not chasing a data anomaly. Expected answer: No changes in definition or measurement systems. Impact on approach: If inconsistencies are found, we'd need to recalibrate our analysis based on accurate data.

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