Application of Artificial Intelligence in Growth Hacking Methodology
Abstract
Recent advancements in artificial intelligence have transformed industry practices, driving greater efficiency across multiple business sectors. This literature review investigates the implications of Artificial Intelligence (AI) in growth hacking methodology in business environments. This study utilizes peer-reviewed sources published between 2018 and 2024 to synthesize academic perspectives on how AI-driven tools enhance digital marketing, customer acquisition, personalization, and predictive analytics to improve the effectiveness of growth hacking. Through a qualitative review of selected scholarly articles from databases such as Scopus and Web of Science, the review identifies critical themes, including AI-powered data analytics, customer behavior prediction, and dynamic personalization. The findings reveal that AI technologies significantly enhance the effectiveness of growth hacking by enabling real-time decision-making, automating user segmentation, and optimizing marketing channels. The review demonstrates that integrating AI into growth hacking provides a strategic advantage for firms aiming to drive innovation, scalability, and customer-centricity in a highly competitive digital economy.
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