SSENSE Customer Loyalty Analysis

Research-driven consumer behavior analysis on customer loyalty for SSENSE, delivered as a presentation with supporting data and recommendations.

Context

SSENSE is a global luxury and streetwear e-commerce platform known for its curated selection and editorial content. This research project examined customer loyalty patterns, purchasing behavior, and retention drivers within the luxury fashion e-commerce space to provide actionable insights for improving customer lifetime value and engagement strategies.

Role & Responsibilities

• •Consumer Behavior Research
• •Data Analysis & Pattern Recognition
• •Competitive Benchmarking
• •Strategic Recommendations Development
• •Presentation Design & Storytelling

Presentation

Process

The research methodology combined quantitative data analysis with qualitative consumer insights to understand loyalty drivers in luxury e-commerce. I analyzed purchase patterns, customer segmentation, and retention metrics, comparing SSENSE's approach with industry benchmarks. The study explored how editorial content, product curation, and customer experience influenced repeat purchase behavior. Findings were synthesized into a comprehensive presentation that balanced data visualization with strategic narrative, making complex behavioral insights accessible to stakeholders.

Outcome

Delivered a data-driven presentation that identified key loyalty drivers and provided strategic recommendations for enhancing customer retention. The analysis revealed opportunities in personalization, content strategy, and customer journey optimization. Recommendations included specific tactics for improving engagement across different customer segments and increasing lifetime value through targeted retention strategies.