Introduction
The sudden 30% decrease in bid requests for TripleLift's CTV inventory over the past week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our CTV advertising platform.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement solutions.
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 often correlate with sudden metric shifts. Expected answer: Yes, we rolled out a new inventory categorization feature. Impact on approach: If confirmed, we'd focus on the new feature's implementation and its effects on bid requests.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes to tracking methods. Impact on approach: If there were changes, we'd need to audit our analytics system first.
Why it matters: Helps identify if the issue is global or specific to certain inventory segments. Expected answer: The decrease is more pronounced in prime-time slots. Impact on approach: We'd focus on prime-time inventory specifics if this is the case.
Why it matters: External factors could be influencing our bid request volume. Expected answer: No significant changes reported from major demand partners. Impact on approach: If changes are reported, we'd need to investigate partner-specific issues.
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