Case Study: B2B Retailer Company increases sales conversion by targeting street-level potential customers with Blueocean Market Intelligence

Helped a B2B Retailer analyze potential customers at street level to increase sales conversion ratio

B2B Retailer Company, a trading and distribution firm, needed to grow market share by adding new customers but lacked a comprehensive list of unserviced prospects and street-level insights for targeted marketing. They engaged Blueocean Market Intelligence to apply data-driven analytics, mapping and customer discovery techniques to find and prioritize potential customers.

Blueocean Market Intelligence used web crawling/scraping to build an exhaustive customer dataset, derived variables (menu price, latitude/longitude, distance to existing customers), built an interactive R-based street-level web app, and applied SVM classification to score non-customers as high/medium/low potential. The solution delivered district- and street-level visualizations for targeted marketing and resource allocation, identified customer segments and product mixes to target, and flagged 56% of non-customers as the highest-priority targets, improving conversion targeting and marketing efficiency.