In the Consumer Packaged Goods industry, understanding merchant attractiveness and performance is crucial for success. To combat this challenge, businesses are using spatial scores as a powerful tool to assess and prioritize merchant points of sale. Spatial scores provide a unified measure that combines diverse data sources into a single score, allowing businesses to comprehensively evaluate a merchant's potential in different locations. By consolidating variables such as footfall, demographic profiles, and spend, data scientists can develop actionable strategies to optimize sales, reduce costs, and gain a competitive edge. A tutorial on spatial scoring is provided, demonstrating how to create spatial scores to measure both merchant attractiveness and performance using the Analytics Toolbox for Google BigQuery, and covering steps including data collection, preparation, calculating merchant attractiveness, measuring performance, and creating scoring variables.