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美国马凯特大学论文代写:客户忠诚度

为此,企业在挖掘客户数据方面不断努力,以发掘客户的洞察力,并增加它们对企业的忠诚度。通过数据分析进行数据挖掘有助于公司了解客户的满意程度和客户对产品的忠诚度。因此,实施顾客忠诚计划可以为企业采取必要的改进措施。然而,这样的客户忠诚度计划纳入几乎所有公司提供的折扣、赠券、奖励等,创造独特的客户体验,企业必须出汗多提供个性化的客户体验是独特和攫取更多的顾客吸引到公司(Larose,D,T,2014)的客户。个人的需要是重要的焦点,这有助于更多的忠诚客户。因此,产品或服务的定制是促进顾客忠诚的一个广泛使用的要素。为了增加客户忠诚度并达到其目标,公司使用数据分析工具,确定客户对公司的关键领域。
然而,客户忠诚度的提升问题,公司仍然是一个艰难的情况下。顾客忠诚只不过是第一次顾客转变为重复的顾客,然后使他们成为品牌代言人。这个过程不是一件容易的事,由于在商业市场的众多竞争对手。然而,公司的政策和战略可以在数据分析工具的帮助下制定和实施。从该行业的其他公司中可以明显看出,新客户是一项昂贵的业务,因为它比保留现有客户成本高五倍。广泛的宣传和营销技巧随着主管业务策略和业务活动的执行可能需要获得新的客户(洪堡,C,Müller,M.,& klarmann,M,2011)。当一个公司的销售额对现有客户是60%至70%,相同的新客户可以只有5%至20%。同时,从现有客户的盈利能力可以高于新客户。当客户流失减少时,零售业的利润率可以提高到125%左右。

美国马凯特大学论文代写:客户忠诚度

For this purpose, the firms are of continuous effort in the mining of customer data so as to explore the customer insights and to increase loyalty among them towards the firm. Data mining through data analytics helps the company to know to what extend the customer is satisfied and customer loyalty is there for its products. Accordingly, necessary improvement measures can be adopted by firms by implementing customer loyalty programs. However, such customer loyalty programs are incorporated in almost all the firms like provision of discount, gift coupons, rewards etc. To create a unique customer experience, the firms have to sweat more on providing personalized customer experience which is unique and grab more customer attraction to the company (Larose, D. T, 2014).Individual needs of the customers are vital focus as it can contribute to more customer loyalty. Customization of products or services is hence one of the widely used element in promoting customer loyalty. In order to increase the customer loyalty and to meet its objectives, firm uses data analytical tools that identifies the key areas of customer loyalty to the company.
However, the issue of enhancing of customer loyalty is still a tough scenario for firms. Customer loyalty is nothing but the conversion of the first time customer to repeated customers and then to make them brand advocate. This process is not an easy task due to the numerous competitors in the business market. However, the company policies and strategies can be framed and made effective with the help of data analytics tools. It is evident from other companies in the industry that getting new customers is a costly affair as it cost five times more to the company than retaining the existing customers. Extensive promotional and marketing techniques along with competent business strategies and well execution of the business activities may be need to get new customers (Homburg, C., Müller, M., & Klarmann, M, 2011). When sales volume of a company to the existing customers is 60% to 70%, the same for new customers can be just 5% to 20%. Also, the profitability from the existing customers can be more than that of from new customers. When customer churn is reduced, the profitability can be increased to around 125% as per the general trend in the retail industry.