Case Study: Large North American Bank achieves branch transformation and sales growth with Pitney Bowes

Large bank uses Pitney Bowes locationbased data and analytics for branch transformation and sales growth

Large North American Bank faced a need to modernize how it planned branch openings, closures and product mix across a 1,000+ location network. The bank’s retail distribution group had been making one-off decisions with little enterprise-level analysis, so it engaged Pitney Bowes and its location-based data and analytics — including Spectrum, GeoInsight, WinSITE and PERFORM .360 plus Pitney Bowes Demand Insight Financial datasets — to build a scalable Location Intelligence capability.

Pitney Bowes implemented a Spectrum data-mart with 36 months of customer history and integrated Demographics, Business and Demand Insight Financial data, surfaced in map-based GeoInsight and driven through WinSITE predictive simulations and PERFORM .360 sales-targeting. The solution let the bank evaluate more than 15,000 potential sites, identify which branch closures would minimize revenue loss, set opportunity-based branch targets and replace manual spreadsheet processes — resulting in more accurate investment forecasts, higher proportions of branches hitting revenue targets and improved staff morale.