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Product Management Root Cause Analysis Question: Investigating advertiser retention decline for Criteo's retargeting product

Why has advertiser retention decreased by 20% this quarter for Criteo's retargeting product?

Data Analysis Problem Solving Strategic Thinking Ad Tech Digital Advertising MarTech
Product Analytics Root Cause Analysis Ad Tech Customer Churn Advertiser Retention

Introduction

Criteo's retargeting product has experienced a significant 20% decrease in advertiser retention this quarter, raising concerns about the product's performance and market position. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this critical issue.

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 20% decrease been adjusted for typical quarterly fluctuations?

Why it matters: Seasonal patterns could mask underlying issues or exaggerate the problem. Expected answer: The 20% decrease is already seasonally adjusted. Impact on approach: If not adjusted, we'd need to recalculate the true decrease.

  • Considering the metric specificity, I'm curious about the definition of "retention." Are we measuring by number of advertisers, ad spend, or another metric?

Why it matters: Different retention metrics could point to different root causes. Expected answer: Retention is measured by the number of advertisers who placed at least one ad in the last 30 days. Impact on approach: This would focus our analysis on factors affecting advertiser activity rather than spend levels.

  • Given the product's nature, I'm wondering about recent changes. Have there been any significant updates to the retargeting algorithm or user interface in the past quarter?

Why it matters: Product changes often impact user behavior and satisfaction. Expected answer: A new AI-driven targeting feature was rolled out two months ago. Impact on approach: We'd need to closely examine the impact of this feature on advertiser performance and satisfaction.

  • Thinking about market dynamics, has there been any notable shift in competitor offerings or pricing structures recently?

Why it matters: Competitive pressures can significantly influence retention rates. Expected answer: A major competitor launched a new product with more aggressive pricing last month. Impact on approach: We'd need to assess our value proposition and pricing strategy in light of this competitive shift.

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