The Role of Artificial Intelligence in Shaping Personalized Advertising Campaigns and Consumer Engagement

ABSTRACT This study investigates the impact of AI‐powered personalization on customer engagement and examines the moderating roles of personalization and consumer trust in advertising effectiveness. A mixed‐methods approach was employed, comprising a quantitative survey of 100 participants and qualitative interviews with 20 participants. Data were analyzed using SPSS through regression analysis and Structural Equation Modeling (SEM) to assess the direct and indirect relationships among AI personalization, consumer trust, and customer engagement. AI‐based personalized advertising significantly enhanced customer engagement ( β = 0.48, p < 0.01). Personalization ( β = 0.42, p < 0.01) and consumer trust ( β = 0.56, p < 0.001) emerged as significant predictors of engagement, demonstrating that transparent and ethical AI practices strengthen consumer confidence and advertising effectiveness. AI‐driven personalization improves customer engagement when supported by trust and ethical data practices. The findings highlight the importance of transparency and responsible AI implementation to maximize the benefits of personalized advertising while addressing consumer privacy concerns.

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Publication Details

Journal
Engineering Reports
Published
2026-11-01
DOI
https://doi.org/10.1002/eng2.71123
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Artificial Intelligence in Shaping Personalized Advertising Campaigns and Consumer Engagement

Zhiyan Zhang, Qinghe Wang
Engineering Reports
Digital Marketing and Social Media
article

The Role of Artificial Intelligence in Shaping Personalized Advertising Campaigns and Consumer Engagement

Zhiyan Zhang, Qinghe Wang
article en

Abstract

ABSTRACT This study investigates the impact of AI‐powered personalization on customer engagement and examines the moderating roles of personalization and consumer trust in advertising effectiveness. A mixed‐methods approach was employed, comprising a quantitative survey of 100 participants and qualitative interviews with 20 participants. Data were analyzed using SPSS through regression analysis and Structural Equation Modeling (SEM) to assess the direct and indirect relationships among AI personalization, consumer trust, and customer engagement. AI‐based personalized advertising significantly enhanced customer engagement ( β = 0.48, p < 0.01). Personalization ( β = 0.42, p < 0.01) and consumer trust ( β = 0.56, p < 0.001) emerged as significant predictors of engagement, demonstrating that transparent and ethical AI practices strengthen consumer confidence and advertising effectiveness. AI‐driven personalization improves customer engagement when supported by trust and ethical data practices. The findings highlight the importance of transparency and responsible AI implementation to maximize the benefits of personalized advertising while addressing consumer privacy concerns.

Engineering ReportsVol. 8(11)
Nanjing Xiaozhuang University (CN)
Openalex Percentile: Top 6%
Digital Marketing and Social Media
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The Role of Artificial Intelligence in Shaping Personalized Advertising Campaigns and Consumer Engagement — Zhiyan Zhang, Qinghe Wang · Engineering Reports (2026) | TGRS Research Map | TGRS