Investigating the Effects of Emerging Technologies on AIDA and Marketing Mix in Indian Digital Marketing

This research examines how emerging technologies—especially artificial intelligence (AI) and machine learning (ML)—influence digital marketing outcomes in India’s Over-the-Top (OTT) media sector. OTT refers to streaming services delivered directly to viewers via the internet, bypassing traditional broadcast platforms. The study explores the effectiveness of digital marketing communication through the lens of the AIDA model, which tracks customer journey stages: Attention, Interest, Desire, and Action.Using a structured questionnaire with a sample of 506 OTT subscribers in India, the study measured consumer responses to key marketing variables such as brand recall, promotional timing, customer support quality, pricing, and content type. We analyzed responses using regression methods and machine learning tools like SHAP (Shapley Additive Explanations), which reveal how much each factor contributed to the outcome.Findings show that effective customer support and ease of access strongly influence consumer attention, while brand recognition and timely promotions impact purchase decisions. Interestingly, price sensitivity plays a role—but only within certain limits.This study offers practical insights for digital marketers operating in India’s crowded OTT market. It suggests that success lies in blending emotional triggers like brand trust with functional aspects like content delivery and support. By aligning strategies with data-driven insights, marketers can improve both customer acquisition and retention.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17202888
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating the Effects of Emerging Technologies on AIDA and Marketing Mix in Indian Digital Marketing

Zenodo (CERN European Organization for Nuclear Research)
Digital Marketing and Social Media
article

Investigating the Effects of Emerging Technologies on AIDA and Marketing Mix in Indian Digital Marketing

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Abstract

This research examines how emerging technologies—especially artificial intelligence (AI) and machine learning (ML)—influence digital marketing outcomes in India’s Over-the-Top (OTT) media sector. OTT refers to streaming services delivered directly to viewers via the internet, bypassing traditional broadcast platforms. The study explores the effectiveness of digital marketing communication through the lens of the AIDA model, which tracks customer journey stages: Attention, Interest, Desire, and Action.Using a structured questionnaire with a sample of 506 OTT subscribers in India, the study measured consumer responses to key marketing variables such as brand recall, promotional timing, customer support quality, pricing, and content type. We analyzed responses using regression methods and machine learning tools like SHAP (Shapley Additive Explanations), which reveal how much each factor contributed to the outcome.Findings show that effective customer support and ease of access strongly influence consumer attention, while brand recognition and timely promotions impact purchase decisions. Interestingly, price sensitivity plays a role—but only within certain limits.This study offers practical insights for digital marketers operating in India’s crowded OTT market. It suggests that success lies in blending emotional triggers like brand trust with functional aspects like content delivery and support. By aligning strategies with data-driven insights, marketers can improve both customer acquisition and retention.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Digital Marketing and Social Media
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Investigating the Effects of Emerging Technologies on AIDA and Marketing Mix in Indian Digital Marketing · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS