英国剑桥大学毕业论文辅导：客户忠诚度
英国剑桥大学毕业论文辅导：客户忠诚度
为此，公司不断努力挖掘客户数据，以便探索客户见解并提高他们对公司的忠诚度。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以及客户对其产品的忠诚度。因此，企业可以通过实施客户忠诚度计划来采取必要的改进措施。然而，这样的客户忠诚度计划几乎包含在所有公司中，如提供折扣，礼品券，奖励等。为了创造独特的客户体验，公司必须更多地提供个性化的客户体验，这是独一无二的，并吸引更多的客户吸引力到公司（Larose，D.T，2014）。客户的个性化需求是至关重要的，因为它可以提高客户忠诚度。因此，产品或服务的定制是促进客户忠诚度的广泛使用的元素之一。为了提高客户忠诚度并实现其目标，公司使用数据分析工具来确定客户对公司忠诚度的关键领域。
然而，提升客户忠诚度的问题对于公司来说仍然是一个艰难的情况。客户忠诚度只不过是第一次将客户转变为重复客户，然后使其成为品牌拥护者。由于商业市场中众多竞争者，这一过程并非易事。但是，借助数据分析工具，可以制定公司的政策和战略并使其有效。从业内其他公司可以明显看出，获得新客户是一件昂贵的事情，因为公司的成本是保留现有客户的五倍。获得新客户可能需要广泛的促销和营销技术以及有竞争力的商业策略和良好的业务活动。当公司对现有客户的销售量为60％至70％时，新客户的销售量仅为5％至20％。此外，现有客户的盈利能力可能高于新客户的盈利能力。当客户流失减少时，根据零售业的总体趋势，盈利能力可以增加到125％左右。
英国剑桥大学毕业论文辅导：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.
