This paper covers acquisition cost control optimization in the insurance sector through managerial tools that include optimization models applied method, and analysis within the insurance companies to achieve higher efficiency. The model development with presented costs volume and supposed market volume in each product branch is needed to optimize acquisition costs in insurance companies. The model has been simplified due to the presence of big data in each product branch. Our study is based on classic works and textbooks on optimization and non-linear programming. The results of digital computer calculations for two types of insurance activity are present here. The applied software tool for the acquisition costs allocation is also considered.