Introduction
Ogury's Intelligent Targeting feature has experienced a 20% decline in conversion rates for e-commerce clients since the latest update. This significant drop in performance requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this issue systematically, examining both internal and external factors that could contribute to the decline.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Establishes a clear timeline for the issue. Expected answer: Within the last 1-2 months. Impact on approach: Helps narrow down potential causes related to the update.
Why it matters: Identifies if the issue is universal or specific to certain client types. Expected answer: Some variation exists, but the decline is widespread. Impact on approach: Guides focus on common factors vs. client-specific issues.
Why it matters: Rules out normal fluctuations in e-commerce behavior. Expected answer: Yes, the 20% decline is beyond typical seasonal variations. Impact on approach: Confirms the need to look at update-specific causes.
Why it matters: Pinpoints specific areas of the update that could be problematic. Expected answer: Details about algorithm changes, UI updates, or new targeting options. Impact on approach: Focuses investigation on the most relevant aspects of the update.
Why it matters: Provides qualitative data to complement the quantitative decline. Expected answer: Some clients have reported issues with targeting accuracy or ad relevance. Impact on approach: Guides the investigation towards user-reported problems.
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