Thasos Group Launches Enhanced Versions of Its Market-Leading Foot Traffic Products

Thasos Group Launches Enhanced Versions of Its Market-Leading Foot Traffic Products

Updates to ConsumerStreams and MallStreams Bring New Level of Analysis and Transparency To Retail Company Fundamentals

Thasos Group, an alternative data intelligence firm that transforms location information from mobile phones worldwide into real-time, objective and actionable insights, announced the launch of the newest versions of its real-time foot traffic products, ConsumerStreams and MallStreams.

The enhanced ConsumerStreams and MallStreams products tap the most powerful source of real-time data available today for measuring and forecasting economic activity across business sectors: geolocation information from over five billion phones worldwide. These products provide investors and companies themselves with unprecedented levels of insight into fundamental performance metrics.

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ConsumerStreams provides subscribers with daily customer visitation information for retailers, restaurants, hotels, theme parks and other consumer-facing companies, while MallStreams focuses on data tied to mall REITs, including segmentation by individual mall, anchors, mall type, individual stores and restaurants, and many other features.

In addition to enhanced signal stability and measurement accuracy, the new version of ConsumerStreams offers independent bundles of tickers, grouped by the Global Industry Classification Standard (GICS), at friendlier entry-level prices compared to prior offerings. Today’s offering includes the four most frequently demanded GICS categories: restaurants, department stores, food retail or grocery stores, and several closely-related categories grouped under big-box retail. Additional GICS categories will be added to ConsumerStreams in the future.

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As with previous versions of ConsumerStreams, subscribers can analyze companies, brands and subsidiaries at various levels of granularity, ranging from daily to quarterly, and state-by-state to nation-wide. Building on seven years of experience using mobile phone location data to measure changes in visitation over time, today’s ConsumerStreams offers a mean absolute error on reported same-store sales growth across 129 companies of just 3.4%, compared to 4.6% in the prior version.

While MallStreams has always provided subscribers with detailed data on customer visitation to individual mall properties, the new enhancements allow subscribers to segment visitation by helpful customer features and accurately measure how those features change over time. Today’s MallStreams supports the following measurements:

Demography – Census Block Group information including average income level and distance driven to a property;
Affinity – Cross-shopping patterns that describe what other retailers a customer regularly visits; and
Loyalty – Details on same-store visitation frequency.

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“The exciting updates to ConsumerStreams and MallStreams represent an important step in making brand new – yet fundamental – data available to global investors as well as decision-makers at the world’s top retail companies,” said Greg Skibiski, Thasos Group Founder and CEO. “Thasos clients don’t need to have a team of data scientists on staff to make use of alternative data. With our new ConsumerStreams subproducts they can purchase only the data they will use for their chosen business or investment strategy, and our MallStreams enhancements mean that they are getting even more granular detail on how a company is performing.”

Thasos uses the latest advances in artificial intelligence, distributed computing and privacy technology to turn billions of daily location events into highly accessible information that can be easily consumed, understood and acted upon by investors and business managers.

Thasos’ intelligence is derived from volunteered mobile phone location data that has been anonymized, aggregated and thoroughly vetted to ensure compliance with the highest legal, quality and ethical standards. The company’s products have been used for the past four years by many of the industry’s leading hedge funds whose data scientists, and legal and compliance teams, operate in an extremely demanding and highly regulated environment for information.

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