Amperity today announced that Tapestry, a leading New York-based house of modern luxury accessories and lifestyle brands including Coach, Kate Spade, and Stuart Weitzman, is deploying its Enterprise Customer Data Platform to drive better personalization and customer experiences. Tapestry will leverage Amperity’s AmpID, Amp360, AmpIQ products to generate comprehensive customer profiles that will serve as the basis for rich predictive analytics and improve every interaction with its customers.
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“Key principles of Tapestry’s Acceleration Program are leveraging new capabilities and data, simplifying ways of working, and sharpening our focus on our customers,” said Noam Paransky, Chief Digital Officer at Tapestry. “Amperity allows us to better understand our customers and put actionable insights into the hands of our teams to drive experimentation and activation, enabling us to personalize the critical touchpoints our brands have with our customers without the need for significant technology expertise or code.
Our ability to combine data from various sources and create a comprehensive and unified view of our customers is another step in Tapestry’s strategy to be an enabling platform that enhances opportunities for our brands.”
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Leading lifestyle brands like those in Tapestry’s portfolio are adapting to historic and rapid changes in consumer habits and preferences. Whether it’s transitioning experiences from offline to online, adjusting and measuring cross-channel marketing spend, or managing supply chain disruptions, companies today need an accurate and comprehensive view of their customers that is accessible across the entire enterprise.
“Luxury fashion is contending with sweeping and fundamental change. Companies like Tapestry are responding with meaningful investments in the customer data that can help them stay ahead of these changes,” said Kabir Shahani, CEO at Amperity. “Amperity’s enterprise CDP platform was purpose-built for large consumer brands like Tapestry that manage millions of customer interactions across multiple properties and geographies.”
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