{"id":52327,"date":"2017-09-19T18:07:54","date_gmt":"2017-09-19T22:07:54","guid":{"rendered":"http:\/\/network.napco.com\/total-retail\/?post_type=webinar&#038;p=52327"},"modified":"2018-05-02T12:52:35","modified_gmt":"2018-05-02T16:52:35","slug":"tips-generate-big-sales-numbers-big-data","status":"publish","type":"webinar","link":"https:\/\/www.mytotalretail.com\/webinar\/tips-generate-big-sales-numbers-big-data\/","title":{"rendered":"Free Webinar: Tips to Generate Big Sales Numbers With Big Data"},"content":{"rendered":"<p>Consumers expect shopping experiences to be personalized to their individual needs and preferences every time they interact with a brand. Seventy-three percent of consumers said they prefer to buy from retailers that use personal information to make their shopping experiences more relevant, yet only 3 percent of brick-and-mortar retailers are able to identify their customers. Fueling personalization efforts is data, a resource that most retailers have in abundance. However, having data and knowing what do with it are two different matters.<\/p>\n<p>Brick-and-mortar retailers must use data to one, identify their customers and, two, provide them with timely, relevant messaging while they&#8217;re in-store. If they do, their sales will increase. With brick-and-mortar retailers struggling with increased online competition, every point of differentiation helps. Data makes that possible. This interactive webinar will address the following:<\/p>\n<ul>\n<li>how to leverage data, including location, to drive in-store sales;<\/li>\n<li>how location data can be used to better link online and offline shopping experiences;<\/li>\n<li>why creating a unique, personalized in-store shopping experience has become priority No. 1 for omnichannel retailers; and<\/li>\n<li>real-world examples of retailers using big data to drive in-store sales.<\/li>\n<\/ul>\n<p>Sponsored by Pitney Bowes<\/p>\n<p>See below to view this free webinar today!<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Consumers expect shopping experiences to be personalized to their individual needs and preferences every time they interact with a brand. Seventy-three percent of consumers said they prefer to buy from retailers that use personal information to make their shopping experiences more relevant, yet only 3 percent of brick-and-mortar retailers are able to identify their customers. Fueling personalization efforts is data, a resource that most retailers have in abundance. However, having data and knowing what do with it are two different matters.<\/p>\n","protected":false},"author":421,"featured_media":52476,"comment_status":"open","ping_status":"closed","template":"","coauthors":[105068],"class_list":["post-52327","webinar","type-webinar","status-publish","has-post-thumbnail","hentry","category-analytics","category-behavioral-retargeting","category-customer-acquisition","category-customer-data","category-database-marketing","category-e-commerce","category-geo-location","category-in-store-technology","category-marketing","category-mobile-commerce","category-mobile-marketing","category-omnichannel","category-personalization","category-retail-stores","category-technology","category-user-experience","editorial_type-webinars"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Free Webinar: Tips to Generate Big Sales Numbers With Big Data - Total Retail<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mytotalretail.com\/webinar\/tips-generate-big-sales-numbers-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tips to Generate Big Sales Numbers With Big Data\" \/>\n<meta property=\"og:description\" content=\"Consumers expect shopping experiences to be personalized to their individual needs and preferences every time they interact with a brand. Seventy-three percent of consumers said they prefer to buy from retailers that use personal information to make their shopping experiences more relevant, yet only 3 percent of brick-and-mortar retailers are able to identify their customers. Fueling personalization efforts is data, a resource that most retailers have in abundance. 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