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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">MOSCOW ECONOMIC JOURNAL</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">MOSCOW ECONOMIC JOURNAL</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Московский экономический журнал</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2413-046X</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">74297</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Маркетинг</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject></subject>
    </subj-group>
    <subj-group>
     <subject>Маркетинг</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">КЛАСТЕРИЗАЦИЯ КЛИЕНТСКОЙ БАЗЫ УЧАСТНИКОВ ПРОГРАММЫ ЛОЯЛЬНОСТИ</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>КЛАСТЕРИЗАЦИЯ КЛИЕНТСКОЙ БАЗЫ УЧАСТНИКОВ ПРОГРАММЫ ЛОЯЛЬНОСТИ</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Белоцерковская</surname>
       <given-names>Майя Григорьевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Belocerkovskaya</surname>
       <given-names>Mayya Grigor'evna</given-names>
      </name>
     </name-alternatives>
     <email>b-maiya@mail.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Национальный исследовательский университет ядерный МИФИ</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Национальный исследовательский университет ядерный МИФИ</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2017-06-25T14:01:20+03:00">
    <day>25</day>
    <month>06</month>
    <year>2017</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2017-06-25T14:01:20+03:00">
    <day>25</day>
    <month>06</month>
    <year>2017</year>
   </pub-date>
   <volume>2</volume>
   <issue>2</issue>
   <fpage>78</fpage>
   <lpage>78</lpage>
   <history>
    <date date-type="received" iso-8601-date="2017-06-07T14:01:20+03:00">
     <day>07</day>
     <month>06</month>
     <year>2017</year>
    </date>
    <date date-type="accepted" iso-8601-date="2017-06-15T14:01:20+03:00">
     <day>15</day>
     <month>06</month>
     <year>2017</year>
    </date>
   </history>
   <self-uri xlink:href="https://ecience.ru/en/nauka/article/74297/view">https://ecience.ru/en/nauka/article/74297/view</self-uri>
   <abstract xml:lang="ru">
    <p>Одним из подходов к оптимизации управления клиентской базой компании является кластеризация клиентов на основе показателей их покупательской активности и социально-демографических характеристиках. В данной статье рассмотрены возможные типы покупательского поведения участников программы лояльности розничной сети АЗС.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>One of the approaches to optimizing the management of the client base of the company is the clustering of customers based on the indicators of their purchasing activity and socio-demographic characteristics. In this article, the existing types of purchasing behavior of participants in the loyalty program of the retail network of gas-stations are examined.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>кластерный анализ</kwd>
    <kwd>клиентская база</kwd>
    <kwd>программа лояльности</kwd>
    <kwd>оценка эффективности</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>cluster analysis</kwd>
    <kwd>customer base</kwd>
    <kwd>loyalty program</kwd>
    <kwd>performance evaluation</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p>One of the approaches to optimizing the management of the client base of the company is the clustering of customers based on the indicators of their purchasing activity and socio-demographic characteristics. In this article, the existing types of purchasing behavior of participants in the loyalty program of the retail network of gas-stations are examined.</p>
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