AI in Action: Understanding Consumer Response in Cross-Channel Marketing

This study aims to investigate the impact of artificial intelligence (AI) on consumer responses in the realm of crosschannel marketing. As companies adopt AI technologies to provide tailored experiences on digital platforms such as email, websites, and social media, it is crucial to understand consumer perceptions and behavioural responses. This study employs a quantitative approach, using a structured questionnaire to assess seven independent variables: personalisation, transparency, cross-channel consistency, trust in AI, ease of use, AI-generated suggestions, and privacy concerns, alongside one dependent variable, consumer response. Each item was assessed utilising a five-point Likert scale. The data collection involved an online survey disseminated through social media channels, which facilitated a broad representation of demographics without geographic limitations. A total of 184 valid responses were collected from mid-January to the end of February 2025. The data analysis took place in March, utilising JMP statistical software and applying multiple linear regression to assess the impact of AI-related constructs on consumer responses. The results indicated that comprehending the functionality of AI, the simplicity of engaging with AI-driven platforms, and the perception of personalisation play crucial roles in influencing consumers' readiness to respond to AI-generated suggestions. Nevertheless, conventional marketing elements, such as message consistency and the acceptance of AI tools, demonstrated limited predictive capability. Interestingly, personalisation showed a negative correlation, indicating a potential consumer backlash against overly aggressive targeting. The findings underscore the increasing demand for transparency, usability, and the ethical application of AI in marketing. This investigation offers actionable insights for marketers and contributes to the growing conversation about consumer-AI engagement in online settings.

Authors

Publication Details

Journal
International Journal of Management and Humanities
Published
2025-07-26
DOI
https://doi.org/10.35940/ijmh.i1820.11110725
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

AI in Action: Understanding Consumer Response in Cross-Channel Marketing

K Sumathi, N I E M I
International Journal of Management and Humanities
AI in Service Interactions
article

AI in Action: Understanding Consumer Response in Cross-Channel Marketing

K Sumathi, N I E M I
article en

Abstract

This study aims to investigate the impact of artificial intelligence (AI) on consumer responses in the realm of crosschannel marketing. As companies adopt AI technologies to provide tailored experiences on digital platforms such as email, websites, and social media, it is crucial to understand consumer perceptions and behavioural responses. This study employs a quantitative approach, using a structured questionnaire to assess seven independent variables: personalisation, transparency, cross-channel consistency, trust in AI, ease of use, AI-generated suggestions, and privacy concerns, alongside one dependent variable, consumer response. Each item was assessed utilising a five-point Likert scale. The data collection involved an online survey disseminated through social media channels, which facilitated a broad representation of demographics without geographic limitations. A total of 184 valid responses were collected from mid-January to the end of February 2025. The data analysis took place in March, utilising JMP statistical software and applying multiple linear regression to assess the impact of AI-related constructs on consumer responses. The results indicated that comprehending the functionality of AI, the simplicity of engaging with AI-driven platforms, and the perception of personalisation play crucial roles in influencing consumers' readiness to respond to AI-generated suggestions. Nevertheless, conventional marketing elements, such as message consistency and the acceptance of AI tools, demonstrated limited predictive capability. Interestingly, personalisation showed a negative correlation, indicating a potential consumer backlash against overly aggressive targeting. The findings underscore the increasing demand for transparency, usability, and the ethical application of AI in marketing. This investigation offers actionable insights for marketers and contributes to the growing conversation about consumer-AI engagement in online settings.

International Journal of Management and HumanitiesVol. 11(11)
Openalex Percentile: Top 91%
AI in Service Interactions
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