AI-ENABLED CUSTOMER ACQUISITION AND RETENTION IN ENTREPRENEURIAL VENTURES

Entrepreneurial businesses are facing new and unparalleled challenges when it comes to acquiring and retaining customers, as the acquisition cost has already increased by 40 percent since 2023, and traditional retention models do not seem to be effective enough any longer. This paper examines how artificial intelligence technologies can be used to transform customer relationship management in the entrepreneurial context with the help of predictive analytics, machine-learning algorithms, or personalization engines. Based on a mixed-methodology that includes quantitative research of 250 startups and qualitative research of successful AI implementations, the results show that AI-based acquisition strategies achieve rates of conversion 35 per cent greater and place the implementation at 28 per cent lower cost. Also, AI-based retention programmes show 45 per cent increase in customer lifetime value and 32 per cent decrease in churn. The study suggests an in-depth application framework to be used by entrepreneurs that would cope with technical, financial, and organisational issues and provide real-life guidelines to adopt AI. The findings highlight that effective implementation of AI requires a strategic alignment, sound data infrastructure, as well as human-AI interaction as opposed to complete automation. The results are relevant to the literature on entrepreneurship because they prove AI to be an essential facilitator of sustainable development of resource-limited businesses.

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Publication Details

Journal
Journal of Emerging Technologies and Innovative Research
Published
2025-01-01
DOI
https://doi.org/10.56975/jetir.v12i3.569567
Primary Topic
Big Data and Business Intelligence
Type
article
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article

AI-ENABLED CUSTOMER ACQUISITION AND RETENTION IN ENTREPRENEURIAL VENTURES

Laura Patel
Journal of Emerging Technologies and Innovative Research
Big Data and Business Intelligence
article

AI-ENABLED CUSTOMER ACQUISITION AND RETENTION IN ENTREPRENEURIAL VENTURES

Laura Patel
article en

Abstract

Entrepreneurial businesses are facing new and unparalleled challenges when it comes to acquiring and retaining customers, as the acquisition cost has already increased by 40 percent since 2023, and traditional retention models do not seem to be effective enough any longer. This paper examines how artificial intelligence technologies can be used to transform customer relationship management in the entrepreneurial context with the help of predictive analytics, machine-learning algorithms, or personalization engines. Based on a mixed-methodology that includes quantitative research of 250 startups and qualitative research of successful AI implementations, the results show that AI-based acquisition strategies achieve rates of conversion 35 per cent greater and place the implementation at 28 per cent lower cost. Also, AI-based retention programmes show 45 per cent increase in customer lifetime value and 32 per cent decrease in churn. The study suggests an in-depth application framework to be used by entrepreneurs that would cope with technical, financial, and organisational issues and provide real-life guidelines to adopt AI. The findings highlight that effective implementation of AI requires a strategic alignment, sound data infrastructure, as well as human-AI interaction as opposed to complete automation. The results are relevant to the literature on entrepreneurship because they prove AI to be an essential facilitator of sustainable development of resource-limited businesses.

Journal of Emerging Technologies and Innovative ResearchVol. 12(3)
Institute for Environmental Management (US)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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AI-ENABLED CUSTOMER ACQUISITION AND RETENTION IN ENTREPRENEURIAL VENTURES — Laura Patel · Journal of Emerging Technologies and Innovative Research (2025) | TGRS Research Map | TGRS