Hosted marketing technology provider Concept Shopping is now enabling retailers to offer targeted promotions to customers via personal digital ad channels such as personal URLs, in-store kiosks and mobile phones.
The company announced the integration of personal digital ad channels into its Automatic Marketing service March 18.
"We deliver offers electronically in a way that enhances the economic value for both the shopper and retailer," said Jon Kepecs, co-founder and chief technology officer of Concept Shopping. "We manage the entire process with computers."
Beyond allowing retailers to provide paperless coupons, Kepecs said Automatic Marketing lets them make customer-specific offers based on factors such as purchase history and how and when a customer engages with different shopping channels. While the retailer may retain personal customer data, Kepecs said Concept Shopping only tracks customers by an identification number.
He said the Automatic Marketing service can support any ad channel, but primarily delivers offers via personal URL.
"Customers can see their offers, which are enabled for a finite time when they are viewed," he said.
Kepecs said other popular channels include in-store kiosks and mobile phones, and that savings can be automatically delivered at the POS (point of sale).
To help retailers classify customers and provide the most appropriate offers, Kepecs said Automatic Marketing creates a "shopper fingerprint" for each participating customer that consists of objective facts about the customer derived from their behavior.
"Our engine correlates facts in a variety of ways," he said. "We perform decile analysis and product movement analysis to track their individual purchases, as well as how they engaged different shopping channels and how they fit into overall buying behaviors."
Through advanced analysis of shopping behavior, Kopecs said Automatic Marketing can infer certain customer attributes, such as whether they are health-conscious or own a pet. By assigning a default value to each attribute, he said the system avoids having to store most attribute data, allowing it to scale to track thousands of individual properties.