DATA DRIVEN ADAPTIVE STRATEGY: ANALYSIS OF MARKET ORIENTATION IMPLEMENTATION FOR COMPETITIVE ADVANTAGE OF SELLERS ON SHOPEE

Abstract

The hyper-competitive e-commerce era, platforms like Shopee have become the main battlefield for millions of sellers, especially MSMEs. Merely having quality products no longer guarantees success; winning is now determined by the ability to adapt to market dynamics. This research aims to analyze the implementation of market orientation strategy among sellers on Shopee. The main focus is to identify how successful sellers proactively utilize data and platform features to understand customers and map competitors. Using a qualitative case study approach, this study examines the practices of several top-rated sellers based on three pillars: customer orientation, competitor orientation, and inter-functional coordination. Findings reveal that successful sellers obsessively practice customer orientation. They not only read but also analyze reviews (especially negative ones) and chat patterns to implement instant improvements to descriptions, product photos, and packaging standards. Competitor orientation is implemented by monitoring pricing strategies, promotional programs, and competitor service gaps, which are then used to create unique differentiation. Furthermore, inter-functional coordination is materialized in the use of analytic data from the Shopee Seller Centre, such as conversion data, ad performance, and buyer demographics, to optimize stock management, marketing budget allocation, and admin response speed. Market orientation on Shopee is not a theoretical concept but an adaptive data-driven practice. The sellers' ability to extract and react quickly to real-time market intelligence provided by Shopee is a crucial determinant for survival and achieving sustainable competitive advantage.