Retail Customer Behavior Analysis

I run a retail operation and want to turn the raw data we collect into clear, practical intelligence. The goal is to understand why customers buy, how their habits shift over time, and which factors drive repeat purchases so I can refine merchandising, promotions, and loyalty efforts.

I can provide any combination of purchase history, demographic information, or website interaction data once we agree on the best approach. Your task is to explore the data, surface patterns, and translate them into an easy-to-read report with actionable recommendations—think trend visualisations, segment profiles, and concrete next steps I can implement right away.

Please outline the methods and tools you prefer for data cleaning, exploration, and visualisation (e.g., Python/Pandas, R, Tableau, Power BI). If you have retail-specific experience or case studies, let me know; that context will help me gauge fit quickly.

Deliverables:
• A concise analytical report (PDF or slide deck) that explains key findings in plain language
• Supporting visual dashboards or charts (source files included)
• A prioritised action list I can hand to marketing and merchandising teams

I’m happy to answer clarifying questions about existing databases or data formats, and I value transparent, well-documented work so future analyses are easy to replicate.