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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">managementscience</journal-id><journal-title-group><journal-title xml:lang="ru">Управленческие науки / Management Sciences</journal-title><trans-title-group xml:lang="en"><trans-title>Management Sciences</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2304-022X</issn><issn pub-type="epub">2618-9941</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2304-022X-2024-14-4-138-150</article-id><article-id custom-type="elpub" pub-id-type="custom">managementscience-601</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>УПРАВЛЕНИЕ МАРКЕТИНГОМ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MARKETING MANAGEMENT</subject></subj-group></article-categories><title-group><article-title>Гиперлокальный маркетинг: понятие, состояние, направления развития.</article-title><trans-title-group xml:lang="en"><trans-title>Hyperlocal marketing: conceptual representation status, technological foundations and directions of development.</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-3879-9416</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Грива</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Griva</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Егор Владимирович Грива — аспирант, ассистент кафедры автоматизации обработки информации</p></bio><bio xml:lang="en"><p>Egor V. Griva — Postgraduate student, Assistant of the Department of Automation of Information Processing,</p></bio><email xlink:type="simple">egor.v.griva@tusur.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9236-3639</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сидоров</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Sidorov</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Анатолий Анатольевич Сидоров — кандидат экономических наук, доцент, заведующий кафедрой автоматизации обработки информации</p></bio><bio xml:lang="en"><p>Anatoly A. Sidorov — Cand. Sci. (Econ.), Assoc. Prof., Head of the Department of Information Processing Automation</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Томский государственный университет систем управления и радиоэлектроники (ТУСУР)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Tomsk State University of Control Systems and Radioelectronics (TUSUR)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>10</day><month>01</month><year>2025</year></pub-date><volume>14</volume><issue>4</issue><fpage>138</fpage><lpage>150</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Грива Е.В., Сидоров А.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Грива Е.В., Сидоров А.А.</copyright-holder><copyright-holder xml:lang="en">Griva E.V., Sidorov A.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://managementscience.fa.ru/jour/article/view/601">https://managementscience.fa.ru/jour/article/view/601</self-uri><abstract><p>Гиперлокальный маркетинг представляет собой современный формат взаимодействия с клиентами в офлайн  сегменте розничной торговли и сферы услуг, направленный на увеличение продаж путем оптимизации стратегий  продвижения той или иной продукции. В условиях насыщенности рынка традиционные методы маркетинга становятся менее эффективными, поэтому использование новых подходов позволяет компаниям точечно привлекать клиентов, адаптировать свои предложения к конкретным локациям и потребностям аудитории. За последние десять лет в России наблюдается повышенный интерес к гиперлокальному маркетингу как инструменту развития бизнеса, и при этом он практически всецело выражается исключительно в практической плоскости. Его какого-либо научного осознания пока не зафиксировано. Целью настоящего исследования является систематизация существующих концепций и технологий в области гиперлокального маркетинга для выявления его текущего состояния и перспектив развития. В рамках обозначенного вектора рассматриваются технологические предпосылки данного инструмента обеспечения базового процесса в области офлайн ритейла, а также формируется эмпирическая база для индуктивно-дедуктивного анализа предметного поля для формирования паттернов управления потребительским поведением и оптимизации маркетинговой политики бизнес-агентов. В ходе работы было обнаружено, что гиперлокальный маркетинг в розничной торговле в значительной степени зависит от развития интернета вещей (IoT). Использование таких технологий позволяет улучшить взаимодействие с клиентами, повысить уровень сервиса и предсказать поведенческие модели потребителей. На базе рассмотренных инструментально-технологических решений компании имеют возможность создавать персонализированные маркетинговые стратегии и оптимизировать бизнес-процессы для максимизации прибыли.</p></abstract><trans-abstract xml:lang="en"><p>Hyperlocal marketing is a modern format of interacting with customers in the offline segment of retail and services, aimed at increasing sales by optimising strategies for promoting specific products. In conditions of market saturation, traditional marketing methods become less effective, so the use of new approaches allows companies to attract customers on a point-to-point basis and adapt their offers to specific locations and audience needs. Over the past decade, interest in hyperlocal marketing as a business development tool has grown in Russia, and at the same time it has become almost entirely expressed exclusively in practical terms. Its scientific implementation has not yet been recorded. The purpose of this study is to systematise the existing concepts and technologies in the field of hyperlocal marketing in order to identify its current state and prospects for development. Within the framework of the defined vector, both the technological prerequisites and requirements of this tool for ensuring the basic process in the field of offline retailing are considered, and an empirical basis for the inductive-deductive analysis of the subject field for the formation of patterns of consumer behaviour management and optimisation of the marketing policy of business agents is formed. In the course of the work, it was found that hyperlocal marketing in retail is highly dependent on the development of the Internet of Things (IoT). The use of such technologies can improve customer interaction, increase service levels and predict consumer behaviour patterns. Based on the considered instrumental and technological solutions discussed above, companies are able to create personalised marketing strategies and optimise business processes to maximise profits.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>гиперлокальный маркетинг</kwd><kwd>Wi-Fi-радар</kwd><kwd>ритейл</kwd><kwd>гиперлокальный таргетинг</kwd><kwd>анализ данных</kwd><kwd>Wi-Fi-маркетинг</kwd></kwd-group><kwd-group xml:lang="en"><kwd>hyperlocal marketing</kwd><kwd>Wi-Fi radar</kwd><kwd>retail</kwd><kwd>hyperlocal targeting</kwd><kwd>data analysis</kwd><kwd>Wi-Fi marketing</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена в рамках государственного задания Минобрнауки России; проект FEWM -2023-0013.</funding-statement><funding-statement xml:lang="en">This research was funded by the Ministry of Science and Higher Education of the Russian Federation; project FEWM-2023-0013.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Narayanan V., Rehman R., Devassy A., Rama S., Ahluwalia P., Ramachandran A. 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