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
- P. J. Robinson, S. W. A. Prakash, Stochastic artificial neural network for magdm problem solving in intuitionistic fuzzy environment , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Tassar Aniam, Sneha Kanade, A study on the inventory management of perishable products , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Isreal Zewide, Tamiru Boni, Wondwosen Wondimu, Kibinesh Adimasu, Yield and economics of bean (Phaseolus vulgaris L.) as affected by blended NPS fertilizer rates and inter row spacing at maenitgoldia, Southwest Ethiopia , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Muhammed Jouhar K. K., K. Aravinthan, A bigdata analytics method for social media behavioral analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, Swarm intelligence-driven HC2NN model for optimized COVID-19 detection using lung imaging , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Mayur Vyas, Piyush Mehta, The sentimental and financial journey of women navigating e-commerce , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Appu A, Does shopping values influence users behavioral intentions? Empirical evidence from Chennai malls , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- R. Chandran, J. Selvam, Evaluating the impact of MOOC participation on skill development in autonomous engineering colleges , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Indrajeet Mishra, Estimation of the covalent binding parameters and the ground state wave functions in complexes doped with vanadyl ion , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Rimpi Manna, Anitha Arvind, Correlation between ocular surface disease index scores, tear film characteristics, and screen time usage among young adults , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
<< < 9 10 11 12 13 14 15 16 17 18 > >>
You may also start an advanced similarity search for this article.

