Global Apparel Brand Pricing & Data Analysis

As part of a three-person analytics team, I worked on a data-driven study examining global apparel brand pricing trends and retail selling price (RSP) growth from 2020–2025. Our team analyzed multi-source datasets, including Euromonitor, Kaggle, and U.S. Bureau of Labor Statistics data, to evaluate how pricing power, competition, and consumer behavior have shifted across fast fashion, athletic, and mid-range apparel brands. We cleaned and mapped large datasets, visualized five-year RSP growth patterns, and compared brand-level pricing strategies alongside Zara’s top-selling products to contextualize volume versus value trade-offs. Our findings translated complex pricing data into clear insights for marketers, investors, and retail strategists, highlighting how brands respond to inflation, cost pressures, and evolving consumer budget sensitivity.

Tools: Tableau, Peer-Reviewed Scholarly Articles, and Data Analytics