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Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Роль данных CRM в повышении эффективности маркетинговых кампаний для крупных шоу

The role of CRM data in improving the effectiveness of marketing campaigns for large shows

Роль данных CRM в повышении эффективности маркетинговых кампаний для крупных шоу

Abstract

The article examines the role of CRM data in improving the effectiveness of marketing campaigns of major shows. The main focus is on analyzing the methods of using CRM systems to personalize offers, segment the audience, and automate marketing. The article examines both the theoretical foundations of CRM application in the field of large-scale shows, as well as the practical use of these technologies to increase sales, customer loyalty and audience engagement. The study includes examples of successful cases from different areas of show business, demonstrating the real results of using CRM systems. The article also highlights the problems and challenges faced by organizations when implementing CRM, as well as provides recommendations for improving the efficiency of using these systems.

В статье рассматривается роль данных CRM в повышении эффективности маркетинговых кампаний крупных шоу. Основное внимание уделено анализу методов применения CRM-систем для персонализации предложений, сегментации аудитории и автоматизации маркетинга. Рассматриваются как теоретические основы применения CRM в сфере крупных шоу, так и практическое использование этих технологий для повышения продаж, лояльности клиентов и вовлеченности аудитории. Исследование включает примеры успешных кейсов из разных областей шоу-бизнеса, демонстрирующие реальные результаты применения CRM-систем. В статье также выделяются проблемы и вызовы, с которыми сталкиваются организации при внедрении CRM, а также даны рекомендации для повышения эффективности использования этих систем.

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Keywords

большие шоу, CRM-системы, персонализация, эффективность, автоматизация маркетинга, кейс-исследования, защита данных, маркетинговые кампании, сегментация аудитории

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green