RetailMeNot, an app which provides discounts with coupon and promo codes for thousands of online stores, has launched a tool called Mobile Attribution, which analyzes user actions within the app combined with location data, to quantify in-store footfall and attributable sales.Using the app, consumers can find hundreds of thousands of digital offers to save money while they shop or dine out. The new Mobile Attribution tool uses a combination of anonymized consumer data that includes first-party data, geo-fencing and latitude-longitude data, along with smart proximity detection. Store visits are based on aggregated, anonymized data from a sample set of users who have turned on location services on their smartphone, and that data is then extrapolated to represent a cross-section of representative consumers throughout the country.
Jody Goehring (picture), VP of Product, comments: 'RetailMeNot is leveraging location to understand consumer shopping behavior and the impact of digital content on physical retailing. With the majority of our users opted-in, we now have a more complete picture of the consumer shopping journey and are able to offer more relevant content to consumers within that journey'.
Web site: www.retailmenot.com .
All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
Register (free) for Daily Research News
REGISTER FOR NEWS EMAILS
To receive (free) news headlines by email, please register online