Role of artificial intelligence in digital marketing in enhancing customer engagement
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.3.17Keywords:
Artificial intelligence, Digital marketing, Customer engagement, Customer interaction, Personalization, Predictive analytics, Chatbots, Recommendation systems.Dimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Through its ability to help businesses better understand, engage, and communicate with their consumers, artificial intelligence (AI) has completely changed a number of areas of digital marketing. In order to improve customer engagement, this research examines how AI is used to digital marketing tactics. In order to generate customized advertising campaigns and improve consumer enjoy, businesses may additionally leverage AI-pushed technologies like chatbots, personalised content material, predictive analytics, and recommendation systems. Customer opinions on AI-powered marketing tools and their efficacy in boosting engagement are examined in a quantitative study that was completed by 300 respondents. As a consequence, businesses and their customers are able to build deeper connections. The findings show that AI greatly improves customization, predictive insights, and customer engagement. Insights on how digital marketers may use AI to increase engagement and improve overall marketing success are provided by this research.Abstract
How to Cite
Downloads
Similar Articles
- Dr. Mohini Parmar, Preeti Bhargav, Santosh Bhagat, Designing Employability-Oriented Curriculum in English Studies: A Skill-Based Approach , The Scientific Temper: Vol. 17 No. 04 (2026): The Scientific Temper
- N Harini, N Santhi, Challenges and opportunities in product development using natural dyes , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Nilesh M. Patil, P M. Krishna, G. Deena, C Harini, R.K. Gnanamurthy, Romala V. Srinivas, Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Remya Raj B., R. Suganya, A novel and an effective intrusion detection system using machine learning techniques , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Mahmudov E. Heydar, Aliyev S. Shakir, Abbasova S. Camal, Nadirkhanova D Adalat, Museyibli E Bakir, Huseynova G Shixi, The role of agricultural marketing in the formation of export potential in the post-conflict region of the Republic of Azerbaijan , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- J. M. Aslam, K. M. Kumar, Enhancing security of cloud using static IP techniques , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Sathya R., Balamurugan P, Classification of glaucoma in retinal fundus images using integrated YOLO-V8 and deep CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Amanda Quist Okronipa, Isaac Asampana, Jones Yeboah Nyame, Exploring e-learning system loyalty: The role of system quality and satisfaction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Saloni M. Thacker, S. Z. Zubair Ahmed, Anaurene Roy, Influence of loneliness on self-esteem and mental wellbeing in non-domicle postgraduate students in Bangalore , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
<< < 22 23 24 25 26 27 28 29 30 31 > >>
You may also start an advanced similarity search for this article.

