ºÝºÝߣshows by User: ryanrothe / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ryanrothe / Thu, 18 Jul 2013 15:56:36 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ryanrothe The Mobile Effect-Measuring New Shopping Behaviors & Attitudes /slideshow/the-mobile-effect-finalryan-rotheresearch-now/24399943 themobileeffect-final-ryanrothe-researchnow-130718155636-phpapp01
This presentation will explore findings from a study combining both mobile exit surveys and passive behavioral data collected on a group of shoppers’ phones while they were in store. By connecting attitudinal, demographic, passive behavioral, and survey data streams, we can glean who is doing what while they’re shopping—and even why they’re doing it. • Insights into how in-store usage (and non-usage) breaks out by demographics, trip mission and channel • What kind of apps are used in store and what kind of websites are visited • An understanding of top phone-based activities conducted in store ]]>

This presentation will explore findings from a study combining both mobile exit surveys and passive behavioral data collected on a group of shoppers’ phones while they were in store. By connecting attitudinal, demographic, passive behavioral, and survey data streams, we can glean who is doing what while they’re shopping—and even why they’re doing it. • Insights into how in-store usage (and non-usage) breaks out by demographics, trip mission and channel • What kind of apps are used in store and what kind of websites are visited • An understanding of top phone-based activities conducted in store ]]>
Thu, 18 Jul 2013 15:56:36 GMT /slideshow/the-mobile-effect-finalryan-rotheresearch-now/24399943 ryanrothe@slideshare.net(ryanrothe) The Mobile Effect-Measuring New Shopping Behaviors & Attitudes ryanrothe This presentation will explore findings from a study combining both mobile exit surveys and passive behavioral data collected on a group of shoppers’ phones while they were in store. By connecting attitudinal, demographic, passive behavioral, and survey data streams, we can glean who is doing what while they’re shopping—and even why they’re doing it. • Insights into how in-store usage (and non-usage) breaks out by demographics, trip mission and channel • What kind of apps are used in store and what kind of websites are visited • An understanding of top phone-based activities conducted in store <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/themobileeffect-final-ryanrothe-researchnow-130718155636-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation will explore findings from a study combining both mobile exit surveys and passive behavioral data collected on a group of shoppers’ phones while they were in store. By connecting attitudinal, demographic, passive behavioral, and survey data streams, we can glean who is doing what while they’re shopping—and even why they’re doing it. • Insights into how in-store usage (and non-usage) breaks out by demographics, trip mission and channel • What kind of apps are used in store and what kind of websites are visited • An understanding of top phone-based activities conducted in store
The Mobile Effect-Measuring New Shopping Behaviors & Attitudes from Ryan Rothe
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https://cdn.slidesharecdn.com/profile-photo-ryanrothe-48x48.jpg?cb=1523478731 Qualtrics is a rapidly growing software-as-a-service company and the provider of the world's leading insight platform. Over 6,000 enterprises worldwide, including half of the Fortune 100 and 99 of the top 100 business schools rely on Qualtrics technology. Our solutions make it fast and easy to capture customer, employee, and market insights in one place. These insights help our clients make informed, data-driven business decisions. Global enterprises, academic institutions, and government agencies use Qualtrics to collect, analyze, and act on voice of the customer, customer satisfaction, employee engagement, 360-degree reviews, brand, market, product concept, and employee feedback. To le...