The changes that have occurred in the business landscape due to COVID-19 present marketologists and entrepreneurs with new problems. The forced trend of a sharp increase in online interaction with consumers should be used. Such global shifts give rise to innovative tools for evaluating commercial results and transform old techniques to correspond to the new reality of the market. This is the basic condition for a business to sustain in any industry. This paper focuses on developing a theoretical description of the multi-stage interaction with the customer base. In order to solve this problem, a mathematical model was developed at the base of which is a digital information interaction, starting with identifying the target audience and finishing with a completed commercial transaction. Unlike the classical sales funnel, the algorithms presented allow a multi-dimensional conversion funnel to be used for more than just evaluating the results of business for the accounting period. Thanks to a stream of arguments for the model in real time, it is becoming possible to optimize the commercial process by moving to the concept of leading economic indicators.
CITATION STYLE
Fedotov, A. A., Sergeev, S. M., Kravets, O. J., Borisoglebskaya, L. N., & Nique, E. N. (2020). Improving the software engineering algorithm for business. In Journal of Physics: Conference Series (Vol. 1679). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1679/2/022090
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