The utilisation of Artificial Intelligence (AI) is driving a revolution in personalised financial marketing methods, replacing mass-segment approaches with precise one-on-one interactions. This research examines the various effects that tools based on AI technology have in creating modified financial products as well as customised communication approaches. Financial introductions can forecast individual preferences as well as needs through the analysis of large customer datasets with the help of machine learning algorithms. AI delivers through real-time personalised offers by dynamically adapting both messaging content and product references through direct client communications. The deployment of AI technology provides institutions with chatbots that personalise support services while predictive analysis generates positive advice and automated systems write targeted marketing content. The ability of AI to identify micro-segments drives higher customer engagement, along with better conversion rates as well as enhanced customer retention. The application of AI in financial marketing needs responsible ethical management of data privacy and algorithmic bias to achieve equitable and proper usage. A simple random sampling method was used, and a structured questionnaire was employed to collect data. In total, 225 respondents were selected based on their exposure to mobile marketing.
Mendpara et al. (Wed,) studied this question.