Telecommunications customer churn

Owing to the rivalry and rapid growth of communication network, a large amount of data is accessible to customers. The elementary source of profit is through effectual marketing of services to the customers. The role of a customer churn in assessment of potential elements that may influence satisfaction rates is crucially significant (Xia and Jin, 2008). Customer churn clearly evaluate a business’ or a company’s ventures’ potential areas for effective enhancement or improvisation. Customer churn data set evaluates the individuals who left the previous months to make inferences as to why the customers are leaving besides assessing the means to improve customer services (Xia and Jin, 2008). Each customer’s service of the telecommunication company helps to gather the loopholes of the churn as the firm directly contacts its clients. It ensures that communication between the company and the clients is effective, therefore, the feedback received will assist the telecommunication corporation to enhance or improve its operational undertakings (Xia and Jin, 2008).

The information in the customer’s account will offer an effectual platform for the corporation to reflect on and analyse its churn (Huang, Kechadi, and Buckley, 2012).  The customer’s information demonstrates the length of an individual’s utilisation of the company’s services, for example, billing payment approaches, and other shareholding capacities of the telecommunication company. It will be possible to use the customer account data to preview the status of the customer, consequently, the analysis of the data will be more useful in retention of existing and newly found customers. Besides, the customer account information will similarly help the company to identify the demographic characteristics of the clients to draw conclusions on user termination with the telecommunication corporation. The demographics of the client may include but not limited to age, marital status, and gender. The highlighted descriptions will enable the firm to conduct an effectual and productive assessment of the customer churn. Therefore, the deductions made on the termination of customer service contract with the telecommunication company will enable the organisation to evaluate a rational and an appropriate solution (Huang, Kechadi, and Buckley, 2012).

The tools for categorisation of the variables such as customer unique identification number and costs pr month will facilitate the identification of the customer churn tendencies via logistic regression besides other statistical techniques of analysis. Moreover, customer churns will likewise be useful in helping the firm to pinpoint areas of innovation to found effectual client-to-company interfaces and collaborations. These models allow the company to attain considerable transparency and accountability levels with its customers to preclude unnecessary terminations owing to deprived performance. The frameworks will help to isolate the underlying factors that result in customer churns for the telecommunication organisation to vastly improvised solutions to guarantee its impending performance.