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Product Management Root Cause Analysis Question: Investigating declining click-through rates for personalized deal notifications
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Nextsprints

Updated Jan 22, 2025

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Asked at Flipp

15 mins

Why has the click-through rate on Flipp's personalized deal notifications declined steadily over the past quarter?

Data Analysis Problem Solving Product Strategy E-commerce Retail Digital Marketing
User Engagement Personalization E-Commerce Data Analysis Root Cause Analysis

Introduction

The steady decline in click-through rates (CTR) for Flipp's personalized deal notifications over the past quarter is a concerning trend that requires immediate attention. This issue directly impacts user engagement and the overall effectiveness of our personalization strategy. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term implications for our product.

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 a seasonal component. Has this decline been observed in previous years during the same quarter?

Why it matters: Seasonal patterns could explain the decline and inform our solution approach. Expected answer: No, this decline is unique to this year. Impact on approach: If seasonal, we'd focus on adjusting our strategy for this period; if not, we'd investigate other factors.

  • Considering user segments, I'm curious if this decline is uniform across all user groups. Are there any segments that have maintained or improved their CTR?

Why it matters: Identifying resilient segments could provide insights into effective personalization strategies. Expected answer: The decline is more pronounced in newer users. Impact on approach: We'd focus on improving onboarding and early personalization for new users.

  • Thinking about recent changes, have there been any significant updates to the notification system or personalization algorithm in the past quarter?

Why it matters: Recent changes could directly impact user engagement with notifications. Expected answer: A new personalization algorithm was implemented at the start of the quarter. Impact on approach: We'd scrutinize the new algorithm's performance and consider reverting or tweaking it.

  • Regarding competitive landscape, have there been any notable changes in competitor offerings or marketing strategies during this period?

Why it matters: External factors could be drawing users away from our notifications. Expected answer: A major competitor launched a similar feature with more aggressive notifications. Impact on approach: We'd need to reassess our notification frequency and value proposition.

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