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)
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.
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.
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.
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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