Research On The Application Of Big Data In S Telemarketing Life Insurance Companies

With the rapid popularization of electronic communication devices,people's lives are increasingly dependent on mobile communication devices.The traditional form of insurance products that rely on agent marketing is difficult to match with people's modern lifestyles.In recent years,telephone sales insurance has met the consumer's desire for convenience and efficiency,and can effectively reduce the cost of agents.However,there is a big gap between the actual development speed and the expected speed of telemarketing in China.The low list production capacity in telemarketing insurance is a common problem encountered by insurance companies.The reason for this is the lack of careful analysis and summary of customer data.As insurance companies generate a large amount of business data during the sales process of insurance products,the application of big data processing technology can deepen the company's business data to enhance the sales success rate of insurance products.As a new insurance sales method,insurance telephone marketing methods generate more valuable data resources in the process of electric sales.The company can judge the value of data according to factors such as gender,age,education,purchasing power,and purchase history.Improve the list of electricity sales capacity.S insurance company is a company that has entered the sales channel of the insurance industry earlier.Therefore,this article takes the life insurance sales channel of the S insurance company as an example.Through the analysis of the operating conditions of the S insurance company's life insurance and sales channels,the company found its problems and used the company.Based on a large number of electric customer data,a big data processing method was applied and subdivision of life insurance electric customers was implemented to achieve the customer's preferred purpose.The conclusion of this paper is that the contact rate can be increased by requesting the agent to dial the number of times,and the proportion of the invalid list can be reduced through technical means.With the agent sales ability almost the same,the data can be used to improve the contact success of the list.rate.The grade of seats can be divided according to the rank of seats.The classification of the list is that the category A list includes the insurance customers,motor insurance sales customers,auto insurance non-electric sales customers,life insurance,electric insurance accepts uninsured customers,etc.B-category list includes warm-list,car owner warm-up list etc.The list of category C includes the second list of the warm list and the second use of sales etc.The D-list contains a list of purchasing power and so on.The seats start from the best quality listaccording to rank.Through customer segmentation,the company will seek out the best combination of lists,agents and customers to increase the efficiency of agent dialing and reduce the cost of sales.This will increase the list capacity and sales performance,and increase the overall premium scale of the company's sales channel.On this basis,it also hopes to provide practical reference for other life insurance companies.