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Product Management Root Cause Analysis Question: Investigating Pinterest's promoted pins click-through rate decline

Why has the click-through rate on Pinterest's promoted pins declined by 20% this month compared to last?

Data Analysis Problem Solving Strategic Thinking Social Media Digital Advertising E-commerce
A/B Testing Root Cause Analysis User Behavior Algorithm Optimization Ad Performance

Introduction

The recent 20% decline in click-through rate (CTR) for Pinterest's promoted pins is a significant issue that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the problem.

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 seasonality at play. Has this decline been observed in previous years during the same month?

Why it matters: Seasonal patterns could explain the drop and inform our approach. Expected answer: No, this decline is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.

  • Considering user segments, I'm curious about the distribution of the decline. Is the 20% drop consistent across all user groups or more pronounced in specific segments?

Why it matters: Identifying affected segments could point to targeted issues or changes. Expected answer: The decline is more significant among mobile users and younger demographics. Impact on approach: We'd focus on mobile experience and content relevance for younger users.

  • Thinking about recent changes, have there been any updates to the promoted pins algorithm or UI in the past month?

Why it matters: Recent changes could directly impact CTR performance. Expected answer: Yes, we implemented a new relevance algorithm two weeks ago. Impact on approach: We'd prioritize investigating the impact of this algorithm change.

  • Considering measurement accuracy, has there been any change in how CTR is calculated or tracked?

Why it matters: Ensures we're comparing apples to apples and not chasing a data anomaly. Expected answer: No changes to CTR calculation or tracking methods. Impact on approach: We'd focus on actual performance issues rather than measurement discrepancies.

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