Plan Optimization For The Product Operation Of Intelligent Health Insurance For A Company,Based On "4E Theory"

In recent years,people have paid more attention on health.Peoples' dependence on smart phones has also gradually increased.All kinds of fitness APP emerged as this moment.Insurance companies also provided intelligent health insurance based on users' movement data.Among them,A company's intelligent health insurance was launched the earliest time.But there are some problems in its product operation.Based on this,this thesis mainly studies the optimization of A company's intelligent health insurance product operation scheme based on the "4E theory".Firstly,this paper analyzes the background of A company's intelligent health insurance product operation and theoretical evolution with concrete content of the “4E theory”.Then,the paper analyzes the problems existing in the operation of intelligent health insurance products of A company in detail,all based on the “4E theory”.Based on the practical experience of the health insurance products operation of some major insurance companies,this paper puts forward the optimization of the intelligent health insurance products operation plan for A company based on the “4E theory”.This program is optimized around the plan optimization conditions,the specific aspects and contents of program optimization,and the core point of program optimization.Under the guidance of “4E theory”,this program use(Experience)to optimize customers' personalized experience.Then,use(Evaluation)to program high amount insured health insurance with exercise management.Next,use(Environment)to enhance cooperation with APP suppliers and wearable device industries.Finally,use(Engagement)to improve User viscosity and relationships.The core of program optimization is to incent customers experience with technology devices.Finally,the paper analyzes the feasibility of the implementation,such as the accuracy of exercise data collecting and gives specific countermeasures for A company.