Boosting retail and CPG sales with sentiment analysis is crucial for organizations as customers increasingly rely on reviews to make purchasing decisions. Despite this, many companies fail to incorporate sentiment data into their analysis, missing out on valuable insights that drive business strategies. Data Appeal, a global data intelligence company, provides businesses with comprehensive location data, sentiment scores, and customer feedback insights from hundreds of online channels, enabling data-driven decision-making. By leveraging advanced technologies like Natural Language Processing (NLP) and Sentiment Analysis, organizations can gain actionable insights to optimize their marketing campaigns and improve sales. A key use case involves twin area analysis, a technique that uses Principal Component Analysis to score grid-based cells based on similarity to input cells, providing valuable information for identifying high-priority locations for stocking products. By incorporating sentiment data into their analysis, companies can generate location-based insights that inform customer-centric strategies.