Near Intelligence (NASDAQ: NIR), a global data intelligence platform that curates one of the world’s largest sources of intelligence on people and places, today announced its new study, The Great Generational Shopping Divide. The report reveals clear divisions between consumer groups, with the largest divide being generational, and finds Gen Z, Millennials, Gen X, and Boomers all have distinctly different expectations from brands, shopping preferences and outlooks for the future. High-quality consumer behavior data, which unites multiple sources to deliver insights into how consumers dine, shop, travel, work, etc., can be utilized by businesses to inform their marketing and operational strategies around trade area, path to purchase, dwell time, demographics, and more. “Many retailers simply don’t have the data they need to navigate in today’s ever-changing retail landscape and must be armed with valuable consumer insights to ensure they’re making the right business decisions, while also keeping pace with their shoppers’ latest desires,” said Anil Mathews, CEO of Near. “With the latest findings in Near’s report, retail decision-makers have the ability to unlock immense value through our new data and gain competitive insights.”
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About Near Intelligence Inc.
Near, a global privacy-safe data intelligence platform curates one of the world’s largest sources of intelligence on people and places. Near’s patented technology analyzes data to deliver insights on approximately 1.6 billion unique user IDs across 70 million points of interest in more than 44 countries. With Near’s three-pillared approach– high-quality data, privacy and AI – operational and marketing leaders are empowered with solutions to successfully engage and grow their businesses at scale. With a presence in Pasadena, San Francisco, Paris, Bangalore, Singapore, Sydney, and Tokyo, Near serves enterprises in a diverse spectrum of industries including retail, real estate, restaurant, travel/tourism, telecom, media, and more. For more information about the company, visit https://near.com.
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