{"id":23004,"date":"2022-11-18T13:33:08","date_gmt":"2022-11-18T13:33:08","guid":{"rendered":"https:\/\/refive.wpengine.com\/?page_id=23004"},"modified":"2024-06-11T10:09:43","modified_gmt":"2024-06-11T10:09:43","slug":"analytics","status":"publish","type":"page","link":"https:\/\/www.refive.io\/en\/analytics\/","title":{"rendered":"Analytics"},"content":{"rendered":"\t\t
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Enhance your store analytics with customer data<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Connect purchase data to customer profiles at the store level and gain new insights to optimise your inventory, offers, marketing campaigns and overall performance.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tBook a demo<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"Logos<\/figure><\/div>
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How it works<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Customer-centric store analytics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tWe are integrated at the POS – every store transaction runs through refive\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Every in-store customer is identified and matched with purchase data<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\tThis combined data allows us to create a \u201cstore profile\u201d – helping you understand store performance as a whole as well as in the context of customer segments and individual shoppers\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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How it works<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Use store-level insights to grow sales<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"customer<\/figure>

Find out if your in-store customers are new or returning shoppers to optimise layouts and offers accordingly<\/h3><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"store<\/figure>

Monitor the loyalty of a specific store\u2019s customers<\/h3><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Discover how customer satisfaction in the store varies throughout the day<\/h3><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Understand the baskets of store customers right down to micro-segments<\/h3><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Identify how price-sensitive customers of this store are and use that to inform local pricing strategy<\/h3><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Determine which products do well with which customers in which stores and use that insight to inform merchandising decisions<\/h3><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Why refive?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A new perspective on store performance<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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View your stores through the customer lens<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Most store analytics focus on the shopping basket or footfall. On the other hand, marketing analytics is centered on the customers – their characteristics and preferences. refive brings together customer data and POS data and thus allows for a whole new way of analysing store performance in the context of the customers shopping in that store. You can gain new insights on popular products, customer feedback, purchase behaviour, discount usage by customer segment and by store.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Democratise store insights<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Store insights are often locked away in ERP \/ BI systems that aren\u2019t accessible<\/a> to marketing teams and store members. The refive merchant dashboard empowers teams to find and utilise store and customer data to improve store performance, improve customer experience and grow sales.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Get to know and delight your customers<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Generate e-commerce level insights into in-store customer behaviour, increase engagement and customer retention via smart digital receipts<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tBook a demo<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Enhance your store analytics with customer data Connect purchase data to customer profiles at the store level and gain new insights to optimise your inventory, offers, marketing campaigns and overall performance. Book a demo How it works Customer-centric store analytics We are integrated at the POS – every store transaction runs through refive Every in-store […]<\/p>\n","protected":false},"author":11,"featured_media":23009,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-23004","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nStore analytics powered by customer data<\/title>\n<meta name=\"description\" content=\"Unlock store analytics connecting purchase and customer data at the store level to gain insights to optimise your inventory, offers and more\" \/>\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.refive.io\/en\/analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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