Introduction
The recent 15% drop in conversion rate for mobile phones on Flipkart, despite increased site traffic, 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 rate 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 user behavior and conversion rates. Expected answer: Yes, there was a major update to the mobile phone listings. Impact on approach: If confirmed, we'd focus on analyzing the impact of these specific changes.
Why it matters: Changes in traffic sources or user segments could explain the conversion rate drop. Expected answer: There's been an increase in new users from social media campaigns. Impact on approach: We'd investigate if new users have different conversion patterns or expectations.
Why it matters: Identifying patterns within specific segments could pinpoint the issue more precisely. Expected answer: The drop is more pronounced in mid-range phones. Impact on approach: We'd focus our analysis on factors affecting mid-range phone conversions.
Why it matters: Technical glitches could directly impact conversion rates. Expected answer: No major technical issues have been reported. Impact on approach: We'd shift focus from technical problems to user experience and product-related factors.
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