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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Journal of Applied Research</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Journal of Applied Research</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Журнал прикладных исследований</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2712-7516</issn>
   <issn publication-format="online">2949-1878</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">111674</article-id>
   <article-id pub-id-type="doi">10.26118/9234.2025.47.56.009</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ПЕДАГОГИКА. ПЕДАГОГИЧЕСКИЕ НАУКИ.</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>PEDAGOGY. PEDAGOGICAL SCIENCES.</subject>
    </subj-group>
    <subj-group>
     <subject>ПЕДАГОГИКА. ПЕДАГОГИЧЕСКИЕ НАУКИ.</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Methods of corporate customers' segmentation and their impact on the product portfolio structure</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Методы сегментирования корпоративных клиентов и их влияние на структуру продуктового портфеля</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Волков</surname>
       <given-names>Игорь Юрьевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Volkov</surname>
       <given-names>Igor Yurievich</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Московская международная академия</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Moscow International Academy</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-01-23T17:25:13+03:00">
    <day>23</day>
    <month>01</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-23T17:25:13+03:00">
    <day>23</day>
    <month>01</month>
    <year>2026</year>
   </pub-date>
   <elocation-id>75-82</elocation-id>
   <history>
    <date date-type="received" iso-8601-date="2026-01-06T00:00:00+03:00">
     <day>06</day>
     <month>01</month>
     <year>2026</year>
    </date>
   </history>
   <self-uri xlink:href="https://zhpi.ru/en/nauka/article/111674/view">https://zhpi.ru/en/nauka/article/111674/view</self-uri>
   <abstract xml:lang="ru">
    <p>В статье систематизированы подходы к сегментированию корпоративных клиентов банков и показано, как выбор методологии сегментации определяет архитектуру продуктового портфеля. На основе сопоставления поведенческих, ценностно ориентированных, риск ориентированных и жизненно цикловых подходов обоснована необходимость многоуровневой модели сегментации, объединяющей количественные и качественные признаки. Продемонстрировано, что согласованность сегментов, метрик стоимости клиента и регуляторных ограничений напрямую влияет на маржинальность, капиталоёмкость и устойчивость портфеля. Предложены практические рекомендации по проектированию продуктовых линеек, тарифов и механизмов кросс продаж с учётом гетерогенности корпоративного спроса. Эмпирическая аргументация опирается на российские и зарубежные исследования, нормативные материалы и открытые источники. Практическая значимость заключается в конкретных шагах по проектированию продуктовых пакетов и канальной стратегии для различных когорт корпоративных клиентов</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article systematizes approaches to the segmentation of corporate clients of banks and shows how the choice of segmentation methodology determines the architecture of the product portfolio. Based on the comparison of behavioral, value-oriented, risk-oriented, and life-cycle approaches, the necessity of a multi-level segmentation model that combines quantitative and qualitative features is substantiated. It is demonstrated that the consistency of segments, customer value metrics, and regulatory restrictions directly affects the profitability, capital intensity, and sustainability of the portfolio. Practical recommendations are provided for designing product lines, tariffs, and cross-selling mechanisms, taking into account the heterogeneity of corporate demand. Empirical reasoning is based on Russian and foreign research, regulatory materials, and open sources. The practical significance lies in specific steps for designing product packages and channel strategies for various cohorts of corporate clients.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>саморегулирование</kwd>
    <kwd>охранная отрасль</kwd>
    <kwd>издержки</kwd>
    <kwd>выгоды</kwd>
    <kwd>стимулы</kwd>
    <kwd>стандарты</kwd>
    <kwd>репутация</kwd>
    <kwd>цифровая трансформация</kwd>
    <kwd>государственно-частное партнерство</kwd>
    <kwd>экономика институтов</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>self-regulation</kwd>
    <kwd>security industry</kwd>
    <kwd>costs</kwd>
    <kwd>benefits</kwd>
    <kwd>incentives</kwd>
    <kwd>standards</kwd>
    <kwd>reputation</kwd>
    <kwd>digital transformation</kwd>
    <kwd>public-private partnerships</kwd>
    <kwd>and institutional economics</kwd>
   </kwd-group>
  </article-meta>
 </front>
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  <p></p>
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