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Company focus

MadHive

Why has MadHive's CTV advertising platform seen a 30% drop in daily active users over the past week?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking AdTech Connected TV Digital Advertising User Retention Product Metrics Data Analytics Root Cause Analysis CTV Advertising
Product Management Root Cause Analysis Question: Investigating sudden user decline in CTV advertising platform

Introduction

MadHive's CTV advertising platform has experienced a significant 30% drop in daily active users over the past week. This sudden decline in user engagement is a critical issue that requires immediate attention and a thorough root cause analysis. I'll approach this problem systematically, examining both internal and external factors that could contribute to this drastic change in user behavior.

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 this could be related to a recent platform update. Has there been any significant change to the platform in the last 1-2 weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a major UI overhaul. Impact on approach: If yes, we'd focus on user experience and adoption issues.

  • Considering the scale of the drop, I'm wondering about potential technical issues. Have there been any reported outages or performance degradation recently?

Why it matters: Technical problems can cause immediate and significant user drop-offs. Expected answer: No major outages, but some intermittent slowdowns. Impact on approach: If yes, we'd prioritize technical root cause analysis.

  • Given the competitive nature of CTV advertising, I'm curious about market dynamics. Have any major competitors launched new features or pricing models recently?

Why it matters: Competitive pressures can lead to rapid user migration. Expected answer: One competitor introduced a new targeting algorithm. Impact on approach: If yes, we'd analyze our competitive positioning and feature set.

  • Thinking about user segments, I'm wondering if this drop is uniform across all user types. Do we see any particular user segment more affected than others?

Why it matters: Segmented analysis can reveal targeted issues or changes in user behavior. Expected answer: Enterprise clients seem more affected than smaller advertisers. Impact on approach: If segmented, we'd focus on the needs and issues of the most affected group.

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Updated Mar 29, 2025