Catchment area analysis for retail expansion

Lost customers, missed opportunities

A leading sports retailer was facing a challenge—despite having strong in-store sales, customer behavior across different catchment areas remained unclear. Their teams lacked the visibility needed to understand purchasing trends, identify high-value customer segments, or optimize store performance.

Even more concerning, stores were losing revenue due to customer migration to competitors in certain regions. Without proper insights, sales teams couldn’t determine which catchment areas were thriving and which were underperforming. They needed a data-driven approach to track customer movement, analyze sales performance, and drive store expansion strategies. That’s when they partnered with Netscribes.

Turning data into actionable insights

Netscribes developed an AI-powered dashboard that provided real-time insights into customer behavior across different catchment areas. By integrating data from multiple sources—including Redshift, OpenBravo, and PostgreSQL—the system delivered a comprehensive view of sales performance, user demographics, and customer growth trends.

Retailers could now analyze which stores had the highest user engagement, where customers were spending the most, and which locations had untapped potential for expansion. It also helped identify cannibalization issues, where one store’s performance was impacted by another in the same catchment area.

Read more: The power of catchment analysis

The results: Smarter decisions, stronger sales

By leveraging catchment area insights, the retailer achieved:

• Better customer segmentation: Allowing stores to target high-value shoppers more effectively.
• Optimized product stocking: Ensuring high-demand items were available where they were needed most.
• Targeted marketing campaigns: Re-engaging lost users and driving app downloads based on regional trends.

Future-proofing retail with data

Understanding catchment area dynamics means more than mapping customer locations. It involves predicting trends, optimizing inventory, and creating targeted growth strategies. With AI-powered insights, retailers can expand strategically, optimize inventory, and create hyper-personalized shopping experiences.

See how data-driven insights can transform your retail strategy. 

Download our case study to know more.