Fiserv recently introduced a new solution called Unknown Shopper at the NRF 2026 event. This innovative tool helps merchants identify and engage with anonymous in-store customers. Most retailers lack data on guests who do not join loyalty programs. This platform bridges that gap by using secure card-present transaction data. It allows businesses to understand buying patterns without compromising privacy. This launch marks a major step forward for physical retail analytics.
The Unknown Shopper service provides a clearer picture of consumer behavior. Merchants can now see how often a guest visits their stores. They can also track specific purchasing segments over time. Furthermore, the tool enriches transaction data with demographic information. It turns anonymous transactions into actionable business intelligence for store owners. This helps physical stores compete better with online e-commerce platforms.
Strengthening Customer Loyalty Through Data Insights
Retailers face many challenges when trying to connect with every guest. Many shoppers prefer to skip the formal registration process at checkout. Consequently, stores lose the chance to send relevant offers to them. The Unknown Shopper solution solves this problem by using payment intelligence. It links past purchases to actionable segments based on real behavior. Therefore, merchants can reward frequent visitors even without a loyalty card.
This technology also assists in reducing media waste for marketing partners. By knowing what people buy, managers can deliver better offers. This efficiency leads to higher sales and better customer satisfaction. Moreover, the system helps merchants across retail, restaurant, and fuel environments. This makes it a versatile choice for a wide variety of businesses.
“Unknown Shopper allows merchants to translate in-store transaction data into meaningful insights and customer segments, helping them serve their customers more effectively,” said Prasanna Dhore, Chief Data Officer, Fiserv.
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News Source: Businesswire.com
