Impact of AI on Personalised Financial Marketing

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.

Authors

Publication Details

Journal
International Journal of Applied Marketing and Management
Published
2025-01-01
DOI
https://doi.org/10.21863/ijamm/2025.10.1.004
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of AI on Personalised Financial Marketing

Neel Mendpara, Sneha Jethwa
International Journal of Applied Marketing and Management
FinTech, Crowdfunding, Digital Finance
article

Impact of AI on Personalised Financial Marketing

Neel Mendpara, Sneha Jethwa
article en

Abstract

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.

International Journal of Applied Marketing and ManagementVol. 10(1)
Openalex Percentile: Top 60%
FinTech, Crowdfunding, Digital Finance
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Impact of AI on Personalised Financial Marketing — Neel Mendpara, Sneha Jethwa · International Journal of Applied Marketing and Management (2025) | TGRS Research Map | TGRS