UberRetail Releases Insights Report on How Mobile Data Improves Sales Forecasting Intelligence

December 8, 2016 – Press Release UberRetail, a location-based analysis platform that transforms first-party data into more actionable business intelligence, today released an insights report on how businesses can improve their trade area modeling by leveraging consumer location data and visitation habits. This level of accurate mobile location data helps retailers, restaurants, and realtors make better decisions about future sites, analyze competitors, conduct cannibalization forecasts, and improve marketing.

One of the most important factors in business success – or failure – is location. The “Mobile Data: The Next Generation of Trade Area Modeling” report details how mobile location data is revolutionizing more antiquated and often flawed methods of trade area modeling with a far more reliable, data-driven understanding of how, why, and when consumers move toward purchase.

“In the past, a retailers’ ability to model trade areas and estimate the effects of competition were limited to using radial and drive-time methods or using expensive customer data from intercept surveys and loyalty programs,” said Eric Aledort, chief business development officer, UberRetail. “But mobile location data provides empirical data for determining true trade areas and enables a new and improved approach to analyzing real-world consumer behavior for more informed decision making and marketing strategy.”

Among the many insights provided in the “Mobile Data: The Next Generation of Trade Area Modeling” report is how mobile data can provide a more accurate approach to understanding real-time shopping patterns as a standalone modeling tactic or a supplement to other datasets. In addition, businesses can calculate trade areas before and after an event, such as the opening of a competing store. They can also use mobile data to analyze cross-shopping behavior to see what percentage of customers shop at competitive locations, or to design conquesting campaigns in which they serve mobile ads specifically to their competitors’ customers, further drawing on mobile data’s unique applications.

For more information or to request a copy of the UberRetail mobile data report, please contact Gabriel del Rio, ubermedia(at)radixcollective.com

To view the original press release, please visit PRWeb

UberMedia CEO Gladys Kong Honored By Mobile Women to Watch 2017

November, 29, 2016 – Press Release UberMedia, a trusted mobile authority that transforms behavioral data into actionable consumer insights, today announced that Gladys Kong, CEO of UberMedia was chosen among her peers for the Mobile Women to Watch 2017 list, honoring 25 smart executives who are set to make a difference next year in mobile advertising, marketing, and media.

Celebrating its eighth year, this roster of Mobile Women to Watch highlights honorees from brands, retailers, agencies, publishers, platforms, and market researchers. The 25 women were selected from a multitude of reader submissions as well as Mobile Marketer newsroom nominations.

“A key characteristic of a Mobile Women to Watch honoree is her willingness to push the envelope,” said Mickey Alam Khan, editor in chief of Mobile Marketer, New York. “Gladys is on course to reshape the discussion on mobile within her organization, understanding the amplifying powers of a medium that has upended business as you know it. She joins a highly talented roster of Mobile Women to Watch honorees who are set to make a difference in 2017 in a mobile-driven world.”

A longtime expert in mobile technology and data solutions, Kong’s leadership and dedication to innovating and developing new ideas has directly contributed to UberMedia being named one of the best entrepreneurial companies in America by Entrepreneur Magazine and an Ad Age’s Best Places to Work 2016. Kong was also personally recognized as a bronze winner in the Woman of the Year, Technology category for the 13th annual Stevie® Awards.

To view Mobile Marketer’s list of Mobile Women to Watch 2017, please visit http://www.mobilemarketer.com.

Ad Age Best Places to Work 2016

November 15, 2016 – Press Release The 2016 Best Places to Work list is a joint effort of Advertising Age and Best Companies Group. The latter is dedicated to establishing programs to identify and recognize workplaces that nurture a superior level of employee satisfaction and engagement. Companies from across the United States participated in the two-part survey process to determine Ad Age’s Best Places to Work.

To continue reading and to learn more about UberMedia’s ranking in Ad Age Best Places to Work, please visit Ad Age.

UberMedia CEO Gladys Kong Named a Finalist in the 13th Annual Stevie® Awards For Women In Business

October 8, 2016 – Press Release UberMedia, a trusted mobile authority that transforms behavioral data into actionable consumer insights, today announced that Gladys Kong, CEO of UberMedia, was named a Finalist in the Woman of the Year, Technology category for the 13th annual Stevie® Awards.

The Stevie Awards for Women in Business honor women executives, entrepreneurs, employees, and the companies they run – worldwide. The Stevie Awards have been hailed as the world’s premier business awards. Finalists were chosen by more than 110 business professionals worldwide during preliminary judging.

Gold, Silver, and Bronze Stevie Award winners will be announced during a gala event at the Marriott Marquis Hotel in New York on Friday, November 18. Nominated women executives and entrepreneurs from the U.S. and several other countries are expected to attend. The event will be broadcast on Livestream and the pre-show from the red carpet will be streamed on the Stevie Awards’ Facebook feed.

“We are very excited that Gladys is recognized among a handful of inspirational women in business,” said Kerry Pearce, SVP of Product and Engineering for UberMedia. “Her ability to spearhead a quickly evolving market inspires the future of our industry. Our team is looking forward to celebrating the many successful women, across all backgrounds and industries, that have made incredible contributions to business in general.”

Due to her leadership role in the success of UberMedia as one of the leading mobile
location data experts, Gladys was named one of Business Insider’s “30 Most Powerful Women in Mobile Advertising,” recognizing the top female executives who are making a difference in the mobile advertising space.

“In the 13th year of the Stevie Awards for Women in Business, the judges were very impressed with the quality of each nomination that qualified as a Stevie Finalist. The competition has grown each year because there are so many high-achieving women all over the world, who serve as an inspiration to those who would like to start, grow or lead a business,” said Michael Gallagher, founder and president of the Stevie Awards. “We’re looking forward to recognizing these outstanding women in New York on November 18.”

Members of five final judging committees will determine the Gold, Silver, and Bronze Stevie Award placements from among the Finalists during final judging October 17-26.

Details about the Stevie Awards for Women in Business and the list of Finalists in all categories are available at http://www.StevieAwards.com/Women.

UberMedia Announced as Finalist for 2016 MMA Smarties Awards for Location-Based Services

September 22, 2016 – Press Release – UberMedia, a trusted mobile authority that transforms behavioral data into actionable consumer insights, today announced that it has been named a finalist for the MMA Smarties Awards, the world’s only global marketing awards program honoring innovation, creativity, and success.

UberMedia is among four other finalists in the Location-Based category, named for its innovative work using mobile location history, app usage signals, and interest cues to drive consumer foot traffic to specific retail locations.

Finalists and winners will be honored at the annual Global Smarties Celebration of Talent on September 26 in New York City during Advertising Week.


UberMedia Launches ‘Optimal GeoSpace’ Technology to Help Retailers Better Understand and Target Customers

July 13, 2016 – PRWeb  In time for holiday media planning, new targeting and measurement product analyzes mobile location data to identify the consumer journey and optimal retail shopping areas.

UberMedia, a trusted mobile authority that transforms behavioral data into actionable consumer insights, today launched Optimal GeoSpace, a patent-pending mobile location technology that dynamically renders a customized virtual fence around individual retail shopping areas, enabling retail marketers to fully capitalize on the actual footprint of a customer to their location (or a competitor’s location).

Traditional geo-fences poorly serve most advertising targeting solutions because they are a “one size fits all” approach. They often misrepresent or overextend the parameters of specific shopping areas, sometimes by as much as several miles, increasing the chances that an advertiser is serving ads to consumers not specific to their location. Whereas Optimal GeoSpace can create a flexible fence tailored to each unique location based on specific shopping patterns using UberMedia’s analysis of billions of high-quality location data points over a period of time as set by the advertiser.

By analyzing mobile data points with a real-time algorithm, Optimal GeoSpace accounts for real-world behavior and location cues over time or within a period of interest, such as Black Friday or holiday shopping, identifying a retailer’s most optimal trade area so they can calibrate media plans and more accurately and effectively target active consumers.

“Imagine you’re a brand manager for a national retail chain having to manually customize 2,000 locations with the limitations of traditional geo-fencing technology,” said Michael Hayes, Chief Revenue and Marketing Officer of UberMedia. “To be the most effective, each location needs its own settings since every market presents different consumer challenges, which is why Optimal GeoSpace technology, combined with our expansive mobile data, takes the headache out of this process. Our technology can identify specific optimal shopping parameters and can update and dynamically set a flexible fence at scale to create an accurate picture of the customer’s actual journey to a specific location, freeing up the time to focus on other campaign elements.”

Optimal GeoSpace’s evening/daytime location analysis can also provide anonymous information about where visitors likely live and/or work, and path-to-purchase data evaluates where store visitors were in the hours prior to arriving at a location. This insight reveals the most traveled corridors via interstates, residential routes, or public transportation.

“While standard geo-fencing can misidentify audiences, Optimal GeoSpace gives retail marketers a much more accurate targeting tool for identifying the true footprint of their consumers,” said Hayes. “Performance for many retail advertisers might be thought of nationally, and yet it’s a street fight at the local level. Whether advertisers need more foot traffic, more market share, or increased sales, we are providing a better, more precise way of targeting to reach their goals.”

Optimal GeoSpace was developed out of our UberMedia Retail division, which uses this technology as a new way for retailers, real estate brokers, and real estate developers to identify competitive trade areas, analyze potential new sites, and view the actual footprint of a customer to their desired location so they can more accurately and effectively allocate investment dollars.


UberMedia Releases Cross-Media Measurement Product That Tracks Ad Campaigns to Real-World Location Visits

May 20, 2016 – PRWeb – UberMedia, a cross-screen mobile insights, advertising, and measurement platform, today launched a mobile attribution measurement product that enables marketers to accurately assess how well their cross-channel media investments are driving real-world foot traffic.

Cross-Media Location Visit Measurement (xLVR) is the first measurement product to link cross-channel digital advertising to large-scale mobile behavioral data and real-world locations with pinpoint accuracy. For the first time, marketers will gain valuable insights into which media partners are driving incremental retail foot traffic, cross-shopping analysis, insight into the shopper path-to-purchase, as well as transparency into their location return on investment and market share gains and losses.

While existing media metrics recognize passive media indicators such as ad delivery, visibility, awareness, and ad recall, UberMedia’s xLVR uses mobile behavioral data to accurately measure which digital media channels (desktop display ads, video, mobile, social, search, etc.) and specific publishers are providing marketers with the most incremental lift to their retail locations, with actionable insights into consumer shopping habits.

“While mobile marketing continues a path toward explosive growth, investing against specific real-world business objectives remains a driving challenge for many marketers,” said Michael Hayes, CRO and CMO of UberMedia. “xLVR is truly a game changer. Instead of measuring media outcomes like ad impressions, clicks, or rating points, savvy marketers can now measure cross-channel business outcomes and optimize their digital media mix to retail foot traffic.”

While marketers will always rely on generic indicators to understand a baseline of delivery and success, many still struggle to figure out the ROI of their media spend. They understand brand awareness and brand affinity but often have no visibility into what actions are driving actual sales. UberMedia’s geo-location data paired with multiple-device-identification and campaign analysis is finally making that insight available, with foot traffic as the direct correlation to ROI.

“Mobile location data is the connective tissue to understanding the link between advertising and real-world business outcomes,” said Hayes. “Location visits will be the next big KPI, and xLVR allows marketers to track across their entire media spend as the true indicator of their location return on investment.”

In order to map cross-channel ad delivery to location visits, UberMedia has pioneered several patent-pending technology and data methodologies. The fully integrated platform uses sophisticated data science and multi-level machine learning to analyze billions of location and behavioral data points per day with three-feet of pinpoint accuracy to understand consumer intention.

UberMedia’s location attribution measurement reporting technology, the supporting infrastructure for xLVR, is currently being used by some of today’s top advertisers in the retail, automotive, travel, and various other nationwide brands looking to optimize campaigns toward physical location visits.


UberMedia Retail to Unveil New Tech at ICSC Las Vegas

May 17, 2016 – PRWeb – Leading mobile advertising and measurement platform analyzes mobile device GPS and behavioral data to optimize retail site selection.

UberMedia Retail, the leading mobile data solution for location decisions, developed by UberMedia, a cross-screen mobile ad tech platform, will be showcasing its trade area analysis technology at RECon.

The UberMedia Retail booth will be in the North Hall, Number N1641.

UberMedia Retail is dramatically changing the way retailers are considering their trade areas by analyzing sophisticated mobile data to create an accurate picture of the customer’s actual path to a specific location. Using valid data from consumer smartphones, UberMedia Retail is able to pinpoint the best locations for retailers to consider for maximum foot traffic.

Retailers, real estate developers, and investors can use UberMedia Retail mobile location data to create trade areas, analyze potential new sites, and view the customer behavior patterns of competitors.

Team members will be on hand at RECon in the North Hall, Number N1641, to discuss Insights solutions, including:

  • UberMedia Insights PULSE: Real-world measurement with mobile data
  • PULSE is a GIS-ready data set that lets you analyze real-world spatial trends based on mobile phone usage.
  • UberMedia Insights API: Full access to Uber Insights Composite Data Sets

Insights data is organized into four structured data sets designed to provide meaningful analysis at scale, while also allowing for granularity.

  • UberMedia RealSite Trade Areas: Precise trade areas for malls & shopping centers
  • Strategic alliance with the Directory of Major Malls and B.I. Spatial to deliver a more accurate understanding of retail trade areas for malls and shopping centers.
  • UberMedia Insights PREMISE: Precise boundary files for retail chains
  • Insights data is classified using a large, highly accurate collection of shape files that are hand drawn and verified using satellite imagery, street view, and owner verification.

Will you be attending RECon this year? If you would like to set up a one-on-one meeting with us to discuss how our revolutionary dataset allows you to analyze real-world spatial trends based on mobile phone usage, please contact Doug Shaddle, (619) 405-3684 or dshaddle(at)ubermedia(dot)com.


UberMedia Integrates with NationBuilder to Help Political Campaigns More Precisely Target Modern Voters

May 3, 2016 – PRWeb – UberMedia and NationBuilder Integration Provide Political Parties with Direct Marketing Access to the Mobile Devices of Qualified Voters and Constituents

UberMedia, a mobile insights, advertising, and measurement platform, has integrated with NationBuilder, the world’s first software platform for political leaders, to help campaign customers target, reach, and influence voters directly on their mobile phones and devices.

By mapping UberMedia’s substantial location data to corresponding mobile devices and existing voter registrations, political campaigns, organizations, and leaders can access a totally qualified advertising channel. The integration provides a hyper-targeted, unmatched approach and allows campaigns to maximize their reach while exponentially improving their campaign’s efficiency. UberMedia has invested in encompassing all 435 Congressional Districts within proprietary polygons and has identified key battleground districts that will require aggressive marketing as the election season progresses.

“Political campaigns have wasted millions in inefficient advertising that simply hopes to capture would-be constituents,” said Gladys Kong, CEO of UberMedia. “Our integration with NationBuilder provides clients with validated audiences that are most likely to respond to targeted, mobile advertising.”

With the UberMedia integration, NationBuilder campaigns can now directly reach voters with ads that speak specifically to their interests and recorded preferences. If a NationBuilder customer is developing a political campaign for a Republican running for Congress, that customer now has access to an even greater universe of political capital, including an ability to target potential voters on the device they use more frequently than any other.

Since the last political cycle, and even more so since the 2012 Presidential election, consumer habits have shifted significantly toward mobile engagement. Consumers now spend an average of three hours daily with their phones and 80%+ of that time is committed to in-app interactions. UberMedia’s integration with NationBuilder targets exactly those mobile-friendly consumers with new innovations unavailable to previous electoral campaigns, providing customers with unparalleled reach and direct access to the constituents they hope to engage.

UberMedia with Directory of Major Malls, and B.I. Spatial Announce Strategic Alliance to Deliver Trade Area Analysis for Shopping Centers Using Mobile GPS Data

January 11, 2016 – Business Wire – UberMedia, developer of UberRetail, the leading mobile data platform for location decisions; Directory of Major Malls (DMM), the industry source for comprehensive retail data and listings for more than 7,200 shopping centers in the US; and B. I. Spatial, a geospatial business intelligence consultancy, announced today a strategic alliance to deliver trade analysis for shopping centers and malls that provide a more accurate understanding of retail trade areas using the precision of mobile device GPS data.

“This is a true strategic effort where UberRetail, DMM and B.I. Spatial have contributed in developing a truly unique product for retailers and businesses to analyze malls and shopping centers,” said Eric Aledort, chief business development officer at UberMedia. “Using accurate data from consumers’ smartphones, we’re able to pinpoint the best locations for retailers to consider for maximum foot traffic. We’re thrilled to work with these innovative companies to capture shopper data and assist retailers in making better, more informed decisions regarding space.”

Finding the right retail space that connects with a store’s customers is essential for success. What retailers look for is the right data and technology to make the most informed decisions to invest in a site. This alliance will provide a quick and more relevant set of data and tools utilizing proprietary algorithms to be employed against billions of points of data without the intrusion or cost of customer intercept studies.

How it Works

UberRetail analyzes GPS data from mobile devices that are captured within DMM shopping center locations, accurate to within three meters. This provides a better view of a mall’s trade area, which can often be missed by traditional methods such as rings or drive times. Using UberRetail’s data, B. I. Spatial’s methodologies produce the likely home locations for the mall or shopping centers’ visitors from which the trade areas are derived.

“In the absence of customer location data, UberRetail’s ability to use GPS location data from mobile devices provides us with the most accurate alternative,” said Andy Moncla, chief operating officer at B. I. Spatial. “When compared to customers from loyalty programs and credit card-based databases, the results are remarkably similar. So, we can now determine the actual trade areas for retailers without having to bother the customer. Before we partnered with UberRetail, we considered other partners but our need for the GPS precision and the ability to locate actual customers, not their cars, could only be satisfied by this solution.”

The location data can be provided in a variety of common formats and are accessible in many widely used programs, including Tableau, Alteryx, ArcGIS and Google Earth. Trade areas are commonly used in conjunction with demographic and psychographic data to develop trade area profiles, retail sales forecasting, real estate strategy development, and to enhance retailers’ local marketing campaigns.

“The immense value of using the device related data UberRetail provides is that it allows us to observe actual consumer behavior,” said Tama Shor, president and CEO of DMM. “Essentially, the product acts as a proactive and predictive driver of deeper, more precise insight than traditional ring and drive time-based trade areas. The focus on ‘REALITY vs RINGS’ removes the known inaccuracies in antiquated real estate location decision models and replaces it with fact based identification of true consumer activity. Our retail clients now have a method to identify new sites and analyze both their current locations as well as those of competitors or complementary retailers. Additionally, there is potential to better inform marketing groups for more precise and targeted advertising opportunities for digital and mobile ads, search advertising, billboards, and direct mail campaigns.”

Mall and shopping center trade area location analysis can be requested from UberMedia, DMM, B.I. Spatial, and other authorized resellers.