Introduction
The recent 15% drop in hotel booking conversion rates for Paris on Booking.com is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the conversion 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: Seasonal trends can significantly impact booking patterns. Expected answer: No major events or holidays during this period. Impact on approach: If confirmed, we'll focus more on internal factors.
Why it matters: Different user segments may be affected differently, pointing to specific issues. Expected answer: The decline is more pronounced among new users. Impact on approach: We'd prioritize investigating the new user experience and onboarding process.
Why it matters: This helps determine if it's a Paris-specific problem or a broader issue. Expected answer: The issue appears to be specific to Paris. Impact on approach: We'd focus on Paris-specific factors rather than platform-wide issues.
Why it matters: Recent changes could directly impact user behavior and conversion rates. Expected answer: A minor update to the search algorithm was implemented last week. Impact on approach: We'd investigate the impact of this algorithm change on Paris hotel rankings and visibility.
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