{"id":9986,"date":"2020-11-16T16:58:18","date_gmt":"2020-11-16T15:58:18","guid":{"rendered":"https:\/\/www.adoneconseil.fr\/en\/?p=9986"},"modified":"2026-01-16T09:48:39","modified_gmt":"2026-01-16T08:48:39","slug":"clienteling-the-ultimate-customer-knowledge","status":"publish","type":"news","link":"https:\/\/www.adoneconseil.fr\/en\/news\/clienteling-the-ultimate-customer-knowledge\/","title":{"rendered":"CLIENTELING : the ultimate customer knowledge"},"content":{"rendered":"<div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Clienteling is a long-standing practice born of local shops, where a notebook was filled with information gleaned from customers made it possible to make all the difference when making a purchase. Today, Clienteling is the ultimate brick of an omnichannel strategy.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>But if the concept of &#8220;one to one&#8221; is well known, its application is enriched according to customer requirements and raises the following issue: what technical and business leverages should be activated to capitalize on 360\u00b0 customer knowledge?<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\">\n<h4 class=\"wp-block-heading\">Clienteling, think business before tools<\/h4>\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Clienteling aims to improve the customer experience not by multiplying gadget tools in the store, but rather by offering a high value-added relationship, fueled by customers and their data.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\">\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p>Personalization of interactions with the customer is the end as well as the means, and must be the result of a reflection at the initiative of the business:<\/p> <ul>\n<li>What customer information should be captured and when?<\/li>\n<li>How to use it?<\/li>\n<li>How to bring it down and get salespeople and customers on board?<\/li>\n<\/ul><\/td><td><img decoding=\"async\" width=\"400\" height=\"267\" src=\"https:\/\/www.adoneconseil.fr\/en\/wp-content\/uploads\/sites\/2\/2020\/11\/Paiement-telephone-magasin.jpg\" alt=\"\"><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>After having identified the target business vision, tools that can support this vision can be determined, because Clienteling is above all a marketing strategy with multiple operational variations. From the integration of appointment scheduling modules to the integration of flying checkouts or personalized shopping, the brands then use different levers to get to know the customer better.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Aligning marketing and technical issues is a real challenge because of the evolution of customer uses. In order to integrate increasingly qualified data, the Clienteling strategy must be thought in terms of short, medium and long-term deployment, supported by a scalable by design system.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\">\n<h4 class=\"wp-block-heading\">Clienteling &amp; Machine Learning, the ideal couple<\/h4>\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Because there are no limits to customer knowledge (well, yes, hello RGPD), knowledge at instant T is not enough.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\">\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><img decoding=\"async\" width=\"1200\" height=\"851\" src=\"https:\/\/www.adoneconseil.fr\/wp-content\/uploads\/2019\/09\/Machine-learning-digital-clienteling.jpg\" alt=\"\"><\/td><td>One example is Burberry, which encourages customers to share their data with rewards through its loyalty program and now has a customer base of 12 million. By encouraging customers to provide data through its loyalty program, Burberry is providing itself with a quality customer reference base that is ready to be used. By reconciling online and offline data, the brand can be proactive and offers high value-added services throughout the customer journey.<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Because beyond the &#8220;simple&#8221; product recommendations pushed on the sales host&#8217;s shelves, a Clienteling strategy backed by a Machine Learning solution makes it possible to completely rethink the omnichannel. By combining first, second and third-party data within an optimized DMP, brands can combine ultra-personalized recommendation engines, geofencing, online marketing and adapt additional products and services accordingly. This is a technical lever that is becoming more and more essential, if there is a strong synergy with the business.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\">\n<h4 class=\"wp-block-heading\">Monitoring your Clienteling strategy, or how to reinvent classic Marketing KPIs<\/h4>\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\">\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>Calculating the return on business investment of the Clienteling strategy is a real challenge: how do I know if my Clienteling strategy is working? How can I isolate customer contact points in an omnichannel configuration?<br>Driven by the business, Machine Learning answers these questions by promoting the emergence of KPIs representing the online\/offline complementarity to follow customers throughout their journey.<\/td><td><img decoding=\"async\" width=\"1200\" height=\"800\" src=\"https:\/\/www.adoneconseil.fr\/wp-content\/uploads\/2019\/09\/Homme-affaires-ordinateur.jpg\" alt=\"\"><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Revenue trends can now be cross-referenced with conversion metrics, in-store customer retention, historical customer satisfaction&#8230; and feed into multi-level dashboards.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Burberry&#8217;s combination of in-store customer counting beacon and mobile campaigns monitoring has resulted in an 85% collection rate of customer data in PoS and a 50% improvement in its loyalty rate. This is a strong illustration of the growing impact of Machine Learning on the omnichannel performance of retailers. This trend is also confirmed by a survey by Statista (&#8216;AI &amp; Machine Learning use cases in the retail industry worldwide as of 2019&#8217;), according to which almost half of retailers have planned or already implemented a multi-channel strategy based on AI.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p>Finally, the scope of forecasting technology goes beyond marketing. Let&#8217;s mention Etam, which articulates its entire production chain around the Machine Learning to rationalize the financial and ecological costs related to unsold products. Or how the complementarity of IA and business lines allows to capitalize on product and customer data to optimize all operational layers.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 px-2\">\n\n<\/div><\/div><\/div><div class=\"container-xxl\"><div class=\"row\"><div class=\"col-12 py-1 px-2\"><div class=\"wp-block-paragraph\">\n<p><strong>You have a project?<\/strong><\/p>\n<\/div><\/div><\/div><\/div>","protected":false},"author":4,"featured_media":5579,"template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[167,170],"tags":[169],"subject":[204],"class_list":["post-9986","news","type-news","status-publish","has-post-thumbnail","hentry","tag-customer-experience-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>CLIENTELING : the ultimate customer knowledge - Adone Conseil<\/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.adoneconseil.fr\/en\/news\/clienteling-the-ultimate-customer-knowledge\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CLIENTELING : the ultimate customer knowledge - Adone Conseil\" \/>\n<meta property=\"og:description\" content=\"Clienteling is a long-standing practice born of local shops, where a notebook was filled with information gleaned from customers made it possible to make all the difference when making a purchase. 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