AI-POWERED PERSONALIZATION ALGORITHMS FOR DIGITAL MARKETING

This research examines the impact of AI-powered personalization algorithms on digital marketing strategies. As customer engagement and content personalization become critical for business success, AI technologies like machine learning, data mining, and deep learning are employed to customize marketing tactics for individual consumers. The study investigates how these algorithms enhance the overall customer experience, increase marketing ROI, and improve conversion rates by offering personalized content in real-time. A survey of 81 participants from diverse industries assesses their views on personalized marketing and its efficiency. The analysis employs advanced statistical methods, such as correlation and regression analysis, to measure the relationship between AI-driven personalization and consumer engagement. The results indicate that AI personalization significantly enhances customer satisfaction and purchasing behavior.

Authors

Publication Details

Journal
International Journal Of Trendy Research In Engineering And Technology
Published
2025-01-01
DOI
https://doi.org/10.54473/ijtret.2025.9306
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-POWERED PERSONALIZATION ALGORITHMS FOR DIGITAL MARKETING

S. Poornima, S. Logalakshmi
1 citations
International Journal Of Trendy Research In Engineering And Technology
Big Data and Business Intelligence
2.28
article

AI-POWERED PERSONALIZATION ALGORITHMS FOR DIGITAL MARKETING

S. Poornima, S. Logalakshmi
article en
1 citations

Abstract

This research examines the impact of AI-powered personalization algorithms on digital marketing strategies. As customer engagement and content personalization become critical for business success, AI technologies like machine learning, data mining, and deep learning are employed to customize marketing tactics for individual consumers. The study investigates how these algorithms enhance the overall customer experience, increase marketing ROI, and improve conversion rates by offering personalized content in real-time. A survey of 81 participants from diverse industries assesses their views on personalized marketing and its efficiency. The analysis employs advanced statistical methods, such as correlation and regression analysis, to measure the relationship between AI-driven personalization and consumer engagement. The results indicate that AI personalization significantly enhances customer satisfaction and purchasing behavior.

International Journal Of Trendy Research In Engineering And TechnologyVol. 09(03)
Openalex Percentile: Top 12%
Big Data and Business Intelligence
2.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.