Why has EDO's TV ad measurement service seen a 15% drop in client retention over the past quarter?

Introduction

EDO's TV ad measurement service has experienced a 15% drop in client retention over the past quarter, signaling a critical issue that demands immediate attention. To address this problem, I'll employ a systematic framework to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the product and business.

Step 1

Clarifying Questions (3 minutes)

• Considering the timing, I'm wondering if there have been any recent changes to the product or pricing structure. Have we implemented any significant updates or modifications to our TV ad measurement service in the last 3-6 months?

Why it matters: Recent changes could directly impact client satisfaction and retention. Expected answer: Yes, we've made some algorithm adjustments. Impact on approach: If confirmed, we'd focus on the impact of these changes on client experience and results.

• Looking at the client base, I'm curious about the distribution of the churn. Are we seeing this 15% drop across all client segments, or is it concentrated in specific industries or company sizes?

Why it matters: This helps identify if the issue is universal or segment-specific. Expected answer: The churn is higher among mid-sized clients in the retail sector. Impact on approach: We'd tailor our investigation and solutions to address segment-specific concerns.

• Considering market dynamics, has there been any significant shift in competitor offerings or pricing that might be attracting our clients away?

Why it matters: External factors could be driving the retention drop. Expected answer: A competitor recently launched a new feature at a lower price point. Impact on approach: We'd need to assess our competitive positioning and value proposition.

• Examining our support channels, have we noticed any increase in client complaints or support tickets related to data accuracy or reporting issues?

Why it matters: This could indicate underlying technical or quality issues. Expected answer: There's been a 20% increase in tickets related to data discrepancies. Impact on approach: We'd prioritize investigating data quality and reporting systems.