Looking Glass brings online personalization into the retail store.

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2 Looking Glass brings online personalization into the retail store. Looking Glass is an in-store intelligent digital ad platform that delivers personalized ads which increase conversions and provide a critical source of real-time behavioral insights about anonymous customers, through a combination of visual recognition, cognitive computing and dynamic publishing.

3 HOW CAN I KNOW MY IN-STORE CUSTOMER AS WELL AS I KNOW THEM ONLINE? Online retailers and advertisers have been perfecting the art of recognizing people online and serving them highly relevant content in the forms of display ads, search results and personalized web experiences. People get what they are most interested in online, but when they get to the retail store, it s typically one size fits all. Looking Glass changes that by bringing the expertise of digital personalization into the store. Using a network of cameras, Looking Glass captures the most essential information about a customer, like age, gender, dwell time and traffic patterns. These patterns are analyzed and matched against personas and customer journeys. And then in real-time, personalized ads are served up using in-store digital displays located at strategic points throughout the store, including POS. Looking Glass does not require beacon technology, hyper-localized GPS or any other systems that violate customer privacy. In fact, Looking Glass is designed to be 100% GDPR compliant. CAN I LEARN ABOUT MY ANONYMOUS CUSTOMERS USING LOOKING GLASS? While Looking Glass does not save any individual data, it compiles a constant stream of metadata including aggregate demographics, traffic patterns and in-store behavior across the store, including at check out. The metadata is uploaded in real-time from multiple locations into a NoSQL database. The data is then tagged with external data points such as date, time and location and is in turn compiled and harmonized with 1st party structured customer data, 2nd party unstructured social data and 3rd party appended data. The curated data sets provide a rich source for analysis and pattern recognition using semantics, artificial intelligence and machine learning which generate insights which can inform content design and production and produce conditions under which the most relevant content is presented to the right audience at the right time, increasing conversions. IS LOOKING GLASS LIMITED TO IN-STORE DISPLAYS? While Looking Glass was originally built for bringing online personalization into the brick and mortar world, it is architected to be used to publish personalized content across any combination of channels and devices leveraging the best in content management (CMS) publishing technology. By combining digital asset management capabilities to store and manage content with a decoupled CMS architecture, Looking Glass is able to publish multiple versions of content based on rules or algorithms, to distinct individuals or segments and be simultaneously presented on combinations of channels including in-store digital display, mobile web and apps, IoT devices, all in addition to traditional websites, s and display ads.

4 In-store display ads personalized in Real-Time Match live customer attributes like age, gender and dwell-time to persona-based segments and display CMS driven personalized ads in real-time, increasing product awareness, demand and sales. Anonymous customer insight collection Achieve a 360º view of your customer by collecting in-store data and melding it with 1 st party customer data, 2 nd party virtual ethnography research and 3 rd party appended demographic data in a single NoSQL database. Connect in-store browsing behavior with POS purchase data Match how people behave when they are shopping in the store with what and when they make purchases, comparing time spent in departments with actual buying behavior. All without leveraging credit card or other privacy protected customer data. Connect inventory, pricing and customer behavior Leverage real-time in-store customer behavior to help optimize inventory and pricing management, including enabling the ability to conduct real-time spot promotions via in-store digital displays based on actual traffic patterns. Maximize staffing resources where and when you need them A GLOBAL RETAILER SAW A PERCENT INCREASE IN SALES within six weeks of introducing Looking Glass into their store. Utilize measurable traffic patterns to optimize staffing, providing additional staff during periods with consistent lines, while minimizing staffing when fewer people are in the store, all managed through data-driven metrics.

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6 Tahzoo s Looking Glass? How does it work? Looking Glass collects data and creates anonymous profiles in real-time for targeted segments Looking Glass algorithms capture anonymous demographics, sentiment and viewer activities Looking Glass software matches individual data to customer segments The platform selects the most compelling content/campaign for the viewer It displays the most contextually appropriate content. (ad, image, video ) Contextually appropriate content increases sales and brand affinity Looking Glass appends the anonymous data to existing profiles, incorporating data from disparate sources such as POS, retail, operational data (traffic patterns) and CRM records. Looking Glass data is available for analysis, modeling and reporting using universal BI tools Need more reasons why Looking Glass will transform your customers in-store and online experience? According to McKinsey & Co., great customer insight analysis can increase sales by 43% 62% of consumers have chosen, recommended, or paid more for a brand that provides a personalized service or experience (Forrester) Millennial consumers will be 50% of the U.S. workforce in 2020 spending nearly 1.6X more due to their use of digital (U.S. Bureau of Labor Statistics Employment Projections)

7 Thank you. For more information please contact: Chris Baribeau Chief Client and Revenue Officer PHONE MOBILE th St. NW, Washington, DC tahzoo.com