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Product Management Root Cause Analysis Question: Diagram showing sudden drop in ad revenue to zero

You are the PM for a B2C product that has an advertisement-based monetization model with significant and steady daily revenues. One day, there are no ads served and the revenues plummet to zero. What would be your strategy, as a Product Manager, to deal with this crisis?

Problem Solving Data Analysis Crisis Management Digital Advertising Media E-commerce
Root Cause Analysis Crisis Management Ad Tech Revenue Recovery B2C

Introduction

The sudden drop to zero ad revenue for our B2C product is a critical issue that demands immediate attention and a structured approach to resolution. As the Product Manager, I'll lead a comprehensive analysis to identify the root cause, implement short-term fixes, and develop long-term strategies to prevent future occurrences.

My approach will involve systematically examining all potential factors, from technical issues to external influences, while prioritizing rapid recovery of our revenue stream. I'll outline a clear plan of action, focusing on data-driven decision-making and cross-functional collaboration.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • What's the typical daily ad revenue, and how long has it been at zero?

  • Have there been any recent changes to our ad serving system or partnerships?

  • Are users still engaging with the product as usual, or has usage also dropped?

  • Is this issue affecting all user segments or specific groups?

  • Have we received any alerts from our monitoring systems about technical issues?

  • Are there any ongoing maintenance or updates that could be impacting ad delivery?

Why these questions matter: Understanding the context and scope of the issue is crucial for effective problem-solving. Hypothetical answers could reveal whether this is a technical glitch, a partner issue, or a more complex problem involving user behavior or system changes.

Impact on solution approach: The answers will guide our initial focus. For instance, if usage remains normal but ads aren't serving, we'd prioritize investigating our ad system and partnerships. If user engagement has also dropped, we'd need to consider broader product issues.

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