Optimization of customer loyalty evaluation algorithm for retail compan
Authors
Vadim Sergeevich Tynchenko, Vladislav Viktorovich Kukartsev, Andrei Anatolievich Boyko, Yuriy Vitalievich Danilchenko, Nataiya Vladimirovna Fedorova
Corresponding Author
Vadim Sergeevich Tynchenko
Available Online August 2018.
- 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/).
Cite this article
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 -