You are the Growth Lead for an online fashion retailer in India, focusing on a wide range of apparel and accessories.
Recently, the company has seen varied performance across different product categories, with some categories like ethnic wear showing strong sales, while others like casual wear are lagging behind.
Your task is to guide the data analyst team to understand the performance of each category and identify areas for strategic improvement.
Based on the RCA methodology, which of the following steps should you prioritize for a comprehensive analysis of product performance?
- Option A: Segmentation analysis to understand customer preferences for each category, followed by correlation analysis between marketing spend and sales figures.
- Option B: Immediate discounting of low-performing categories before analyzing the underlying reasons for their performance.
- Option C: Focusing exclusively on high-performing categories and replicating their strategies across all other categories without further investigation.
- Option D: Detailed time-series analysis for each category to understand seasonal trends, combined with review of customer feedback and return rates for insights into quality and satisfaction.
Choose the step that will provide the most comprehensive and actionable insights into the varied performance of product categories and inform effective strategy adjustments.