Optimization of customer loyalty evaluation algorithm for retail compan

DOI

10.2991/icemw-18.2018.33How to use a DOI?

Keywords

Bayes formula; customer loyalty; "Behavioral" loyalty; "Perceived" loyalty; evaluation of loyalty

Abstract

The problem of quantitative estimation of "behavioral" and "perceived" loyalty of clients is considered. The theme of the paper is to study the algorithm for filling segments, based on the Bayes formula. The methods of probability theory, mathematical statistics, cognitive modeling, regression analysis are used. The article proposes the concept of determining the quantitative evaluation of loyalty, combining "behavioral" and "perceived". The findings and results of the study are aimed at the use in retail companies, regardless of their size, specialization and the volume of the client base. In addition, the developed methods can be modified and used for analysis in other areas of business.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Vadim Sergeevich Tynchenko
AU  - Vladislav Viktorovich Kukartsev
AU  - Andrei Anatolievich Boyko
AU  - Yuriy Vitalievich Danilchenko
AU  - Nataiya Vladimirovna Fedorova
PY  - 2018/08
DA  - 2018/08
TI  - Optimization of customer loyalty evaluation algorithm for retail compan
BT  - Proceedings of the International conference "Economy in the modern world" (ICEMW 2018)
PB  - Atlantis Press
SP  - 177
EP  - 182
SN  - 2352-5428
UR  - https://doi.org/10.2991/icemw-18.2018.33
DO  - 10.2991/icemw-18.2018.33
ID  - Tynchenko2018/08
ER  -