Irving, Texas (PRWEB) May 14, 2015
Tango Analytics, a leading provider of Intelligent Store Lifecycle Management solutions, and UberMedia, a leading independent developer of mobile applications and mobile advertising solutions, today announced that they have entered into a partnership. When integrated with Tango Analytics’ solution, UberMedia’s mobile data points under its UberRetail brand, provide retailers with actionable customer information to align their real estate strategies with changing customer dynamics.
Utilizing information from mobile data points across the United States, UberRetail provides a high level of precision, providing information about customer locations to within a three meter degree of accuracy compared to the 250 meters most commonly associated with other data sources. UberRetail’s ability to analyze mobile data points in relation to stores gives retailers the customer and competitive data they require and eliminates the often burdensome effort and cost associated with customer surveying.
“We see this partnership with Tango Analytics as a huge step forward for retailers in the area of customer and location analytics,” says Gladys Kong, President and CTO, UberMedia. “Combining our raw mobile data points with Tango Analytics’ sophisticated predictive analytics capabilities, retailers are able to tell where their customer frequented immediately before or after a visit to a particular store location.”
Tango Analytics Intelligent Store Lifecycle Management solution is unique in that it integrates a robust, online retail GIS platform and predictive analytics throughout the entire real estate and store development process. Integrating UberMedia’s data with Tango Analytics makes an intelligent solution even smarter. “Having worked in the area of retail real estate predictive analytics for over 30 years, I can honestly say that the combining of UberRetail and Tango Analytics is a true game changer in the area of customer analytics,” says Mark Zymontowicz, Senior Vice President, Tango Analytics. ´”The information and insight resulting from this partnership will become the foundation of a retailer’s customer database and will provide the most accurate trade areas for store locations.”
“Tango Analytics’ partnership with Uber Media is another example of how Tango Analytics is transforming the Customer and Location Analytics arena,” says Pranav Tyagi, Chief Executive Officer, Tango Analytics. “Our ability to provide retailers and restaurant companies with this previously unobtainable set of highly accurate and real-time customer data will transform their location intelligence and enable them to make smarter decisions about their stores.”
About Tango Analytics:
Tango Analytics’ cloud-based Software-as-a-Service (SaaS) solution, Intelligent Store Lifecycle Management, brings together customer and location predictive analytics with purpose-built GIS and store development execution to bridge the gap between thinking, knowing and acting. Simply put, it helps some of the world’s largest and well-known retailers and restaurant companies see and analyze all of the available opportunities, pick the right sites and open them faster. Tango Analytics has worked with over 500 retailers, and brings that knowledge and best practices to Intelligent SLM. Tango’s solution is currently used by over 40 large global retail brands in 16 countries. For more information, visit tangoanalytics.com.
About Uber Media:
UberMedia is a cross-screen mobile advertising platform that leverages social signals, location history and purchase data to identify the heart of consumer decision-making. UberMedia was ranked #16 in The Wall Street Journal's Top 50 Start-ups and was listed as one of Fast Company's “50 Most Innovative Companies.” UberMedia has delivered dynamic advertising solutions for many Fortune 500 companies including the top retail, automotive, entertainment, consumer packaged goods, and telecom advertisers. UberMedia is a network company of Idealab, a creator and operator of technology businesses. Visit ubermedia.com for more information.