Introduction
FreeWheel's ad decisioning service has experienced a 15% drop in requests from major broadcast clients over the past month. This significant decrease warrants a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this decline.
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: Recent changes could directly impact client usage. Expected answer: Yes, there was a minor update to improve efficiency. Impact on approach: If confirmed, we'd focus on the update's effects on client integration.
Why it matters: Helps determine if the issue is systemic or client-specific. Expected answer: The drop varies, with some clients more affected than others. Impact on approach: Uneven distribution would lead us to investigate client-specific factors.
Why it matters: External competitive pressures could explain the decline. Expected answer: One competitor introduced a new pricing model last month. Impact on approach: If confirmed, we'd analyze our market positioning and value proposition.
Why it matters: Helps distinguish between normal seasonal variations and actual problems. Expected answer: This level of decrease is atypical for the season. Impact on approach: If unusual, we'd focus on recent changes rather than cyclical factors.
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