What factors are contributing to the recent 30% decrease in campaign delivery rates for Cadent's advanced TV solutions?

Introduction

The recent 30% decrease in campaign delivery rates for Cadent's advanced TV solutions is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications for our advanced TV advertising platform.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timeframe, I'm thinking this might be a recent change. When exactly did we start noticing this 30% decrease?

Why it matters: Pinpointing the timing helps correlate the issue with potential causes. Expected answer: Within the last quarter. Impact on approach: A sudden drop might indicate a technical issue, while a gradual decline could suggest user behavior changes.

• Considering the complexity of our advanced TV solutions, I'm wondering if this decrease is uniform across all campaign types. Are certain types of campaigns more affected than others?

Why it matters: Identifying patterns in affected campaigns narrows down potential causes. Expected answer: Programmatic campaigns are more affected than direct buys. Impact on approach: If specific campaign types are more impacted, we'd focus on unique features or processes for those campaigns.

• Given the nature of TV advertising, I'm curious about seasonality. Is this decrease out of line with historical seasonal trends?

Why it matters: Distinguishes between normal fluctuations and actual problems. Expected answer: This decrease is significantly larger than typical seasonal variations. Impact on approach: If seasonal, we'd adjust our baseline expectations; if not, we'd investigate recent changes more aggressively.

• Thinking about our delivery pipeline, I'm wondering if we've made any recent changes to our ad serving technology or partnerships. Have there been any significant updates to our tech stack or integrations in the past few months?

Why it matters: Technical changes often correlate with performance shifts. Expected answer: A new programmatic partner was onboarded last month. Impact on approach: Recent changes would become prime suspects in our investigation.

• Considering the end-to-end process, I'm curious about our inventory sources. Have we seen any changes in the availability or quality of our ad inventory recently?

Why it matters: Inventory issues could directly impact delivery rates. Expected answer: Some premium inventory partners have reduced their available slots. Impact on approach: Inventory constraints would shift our focus to supply-side optimizations and partner relationships.