{"id":4140,"date":"2026-07-22T11:22:24","date_gmt":"2026-07-22T05:52:24","guid":{"rendered":"https:\/\/journal.ipem.edu.in\/management\/?page_id=4140"},"modified":"2026-07-29T14:12:41","modified_gmt":"2026-07-29T08:42:41","slug":"exploring-the-power-of-ai-driven-marketing-ecosystem-for-business-growth","status":"publish","type":"page","link":"https:\/\/journal.ipem.edu.in\/management\/exploring-the-power-of-ai-driven-marketing-ecosystem-for-business-growth\/","title":{"rendered":"Exploring the Power of AI-Driven Marketing Ecosystem for Business Growth"},"content":{"rendered":"\t\t
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Exploring the Power of AI-Driven Marketing Ecosystem for Business Growth<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t Namrata Srivastava, Dr. Himanshu Gupta , Dr. Megha Bhatia<\/em><\/a>,\r\n\r\n\r\n\r\n\r\n

Vol 20 , Issue 1 , July 2026<\/a> | <\/span>Pages: 62-71\r\n <\/p>\r\n \r\n \r\n\t

DOI: 10.61691\/IPEM_Mgmt.20.2026.62-71 <\/a><\/p>\r\n\r\n

Published Online: July, 2026<\/span><\/p>\r\n

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    Author Details<\/b><\/p>

    1. Namrata Srivastava
      Assistant Professor, School of Business Management, IFTM University, Moradabad
      Email ID: namrata.srivastava@iftmuniversity.ac.in<\/p><\/li>

    2. Dr. Himanshu Gupta
      Professor, School of Business Management, IFTM University, Moradabad
      Email ID: himanshugupta@iftmuniversity.ac.in<\/p><\/li>

    3. Dr. Megha Bhatia
      Assistant Professor, Department of Management Studies, School of Business Management, IFTM University, Moradabad
      Email ID: megha_bhatia@iftmuniversity.ac.in<\/p><\/li><\/ol><\/div><\/div> <\/div>\n\t\t \n

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      Purpose<\/strong> \u2013 This study aims to examine how Artificial Intelligence (AI)-driven marketing ecosystems enhance marketing performance, customer engagement, and business growth in the evolving digital business environment. It investigates how advanced analytics, automation, and data-driven decision-making collectively operate as an integrated system to improve marketing effectiveness and drive sustainable growth.<\/p>

      Design\/methodology\/approach<\/strong> \u2013 The research adopts a quantitative design based on primary data collected from 90 marketing professionals working in organizations that have implemented AI-enabled marketing tools. Data were gathered using a structured questionnaire and analysed through descriptive statistics, correlation, and regression analysis to evaluate the relationships among AI adoption, marketing performance, customer engagement, and business growth.<\/p>

      Findings<\/strong> \u2013 Results reveal that the adoption of AI-driven marketing ecosystems has a significant positive impact on marketing performance, particularly in enhancing targeting precision, campaign effectiveness, and operational efficiency. Furthermore, AI integration strengthens customer engagement through personalised and timely marketing interactions. Enhanced marketing performance, in turn, drives business growth, as reflected in improved customer retention, revenue expansion, and stronger competitive positioning. Additionally, organisational and technological readiness, such as leadership support, employee capability development, and robust data infrastructure, was found to reinforce the relationship between AI adoption and business growth.<\/p>

      Limitations<\/strong> \u2013 The study\u2019s findings are based on self-reported data and a cross-sectional research design, which may limit causal generalization. Future research could incorporate longitudinal studies and industry-specific analyses to validate and extend these results.<\/p>

      Social Implications<\/strong> \u2013 The outcomes emphasize AI\u2019s potential to foster ethical marketing practices, enhance transparency, and build customer trust through the responsible use of data and automation. Such developments contribute to sustainable, consumer-centric, and inclusive marketing practices in the digital era.<\/p>

      Future Research<\/strong> \u2013 Future investigations should explore integrating AI with emerging technologies such as the Internet of Things (IoT) and Extended Reality (XR) to advance next-generation marketing ecosystems. Comparative cross-industry and cross-cultural analyses could provide deeper insights into AI\u2019s strategic role in marketing transformation.<\/p>

      Keywords<\/strong>: Artificial intelligence (AI), Customer engagement, Predictive analytics, Machine learning, Marketing automation, Ethical AI<\/p>

      JEL Classification<\/strong>: O33, M31, C53, C45<\/p> <\/div>\n\t\t \n

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      Alea IT Solutions. (2025). AI integration in business marketing strategies: A roadmap for digital transformation. Alea Research Insights.<\/p>

      Baines, P., Fill, C., Rosengren, S., & Antonetti, P. (2023). Marketing (7th ed.). Oxford University Press.<\/p>

      BainesDev. (2025). The rise of AI and automation in digital marketing. Retrieved from https:\/\/www.bairesdev.com\/<\/p>

      Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2023). Examining the role of artificial intelligence capabilities in marketing performance and business innovation. Journal of Business Research, 157, 113600. https:\/\/doi.org\/10.1016\/j.jbusres.2022.113600<\/p>

      Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24\u201342. https:\/\/doi.org\/10.1007\/s11747-019-00696-0<\/p>

      Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30\u201350. https:\/\/doi.org\/10.1007\/s11747-020-00749-9<\/p>

      Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2023). Digital transformation of marketing: The role of artificial intelligence, big data, and analytics. Industrial Marketing Management, 108, 15\u201327. https:\/\/doi.org\/10.1016\/j.indmarman.2022.05.003<\/p>

      Marinchak, C. L., Forrest, E., & Hoanca, B. (2018). Artificial intelligence: Redefining marketing management and the customer experience. International Journal of E-Business Research, 14(3), 1\u201314. https:\/\/doi.org\/10.4018\/IJEBR.2018070101<\/p>

      Rust, R. T. (2023). The future of marketing. International Journal of Research in Marketing, 40(2), 341\u2013355. https:\/\/doi.org\/10.1016\/j.ijresmar.2023.01.004<\/p>

      The Business Research Company. (2025). Global AI in Marketing Market Report 2025. Retrieved from https:\/\/www.thebusinessresearchcompany.com\/<\/p>

      Chaffey, D., & Ellis-Chadwick, F. (2022). Digital marketing (8th ed.). Pearson.<\/p>

      Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). Artificial intelligence and digital marketing: A systematic review. European Journal of Marketing, 55(6), 1705\u20131739.<\/p>

      Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108\u2013116.<\/p>

      Huang, M.-H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3\u201321.<\/p>

      Kumar, V., Dixit, A., Javalgi, R. G., Dass, M., & Kannan, P. K. (2021). Digital transformation of marketing: A review and research agenda. Journal of Business Research, 124, 241\u2013258.<\/p>

      Marinchak, C. L., Forrest, E., & Hoanca, B. (2018). The impact of artificial intelligence and virtual personal assistants on marketing. Journal of Marketing Development and Competitiveness, 12(3), 10\u201316<\/p> <\/div>\n\t\t \n

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      Exploring the Power of AI-Driven Marketing Ecosystem for Business Growth Namrata Srivastava, Dr. Himanshu Gupta , Dr. Megha Bhatia, Vol […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-4140","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/pages\/4140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/comments?post=4140"}],"version-history":[{"count":5,"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/pages\/4140\/revisions"}],"predecessor-version":[{"id":4373,"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/pages\/4140\/revisions\/4373"}],"wp:attachment":[{"href":"https:\/\/journal.ipem.edu.in\/management\/wp-json\/wp\/v2\/media?parent=4140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}