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
- Raghvendra, Tulika Saxena, Saurabh Verma, Rashi Saxena, Smita Dron, Shilpi Singh, Combination of financial literacy, strategic marketing and effective human resource for sustainable household wealth development , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Manish K. Srivastava, Nidhi Kesari, Trust in Advertising: A Study of Indian Youth , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Manan Pathak, Dishang Trivedi Trivedi, Field-effect limits and design parameters for hybrid HVDC – HVAC transmission line corridors , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- M. Kohila, S. Rethinavalli, A P2ECAM: A Trust-Preserving Cross-Cloud Data Migration Model For Resource-Constrained Mobile Devices Using Certificate-Free Elliptic Curve Cryptography , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- P S Renjeni, B Senthilkumaran, Ramalingam Sugumar, L. Jaya Singh Dhas, Gaussian kernelized transformer learning model for brain tumor risk factor identification and disease diagnosis , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- S. Razool Begum, Dr. S Malathi, Securing Smart IoT Networks from Cyber Threats Using Explainable Zero Channel Attention-aided Ghost Convolution Neural Network Framework , The Scientific Temper: Vol. 17 No. 04 (2026): The Scientific Temper
- Milindkumar N. Dandale, Amar P. Yadav, P. S. K. Reddy, Seema G. Kadu, Madhusudana T, Manthan S. Manavadaria, Deep learning enhanced drug discovery for novel biomaterials in regenerative medicine utilizing graph neural network approach for predicting cellular responses , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Rupesh Mandal, Bobby Sharma, Dibyajyoti Chutia , Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Hardik N Talsania, Kirit Modi, Interpretable Cardiovascular Diagnosis using Multi-dimensional Feature Fusion and Deep Learning , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Jhankar Moolchandani, Kulvinder Singh, English language analysis using pattern recognition and machine learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.

