The Role of Smart Home Technologies in Promoting Sustainable Lifestyles: Marketing Innovations for Eco-Friendly Consumer Behavior

By maximising energy use and promoting environmentally friendly consumer behaviour, the quick uptake of smart home technologies offers a huge chance to encourage sustainable lifestyles. This research investigates how advancements in smart home marketing techniques can lower carbon footprints, increase energy efficiency, and improve user engagement. We assess the efficiency of smart appliances, lighting controls, and thermostats in reducing energy use using machine learning algorithms. According to our research, customer adoption rates are increased by personalised suggestions and predictive analytics, and engagement is further increased by incentives like government subsidies. Smart home users' clustering assessment reveals unique behavioural patterns that support focused marketing campaigns. Furthermore, sentiment analysis of customer reviews shows that smart home solutions are often seen favourably. The research's conclusions highlight how AI-powered marketing might hasten the shift to sustainable living, making smart homes a crucial part of a more environmentally friendly future.

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Published
2025-02-21
DOI
https://doi.org/10.1109/ce2ct64011.2025.10939654
Primary Topic
Digital Marketing and Social Media
Type
article
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The Role of Smart Home Technologies in Promoting Sustainable Lifestyles: Marketing Innovations for Eco-Friendly Consumer Behavior

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The Role of Smart Home Technologies in Promoting Sustainable Lifestyles: Marketing Innovations for Eco-Friendly Consumer Behavior

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article en

Abstract

By maximising energy use and promoting environmentally friendly consumer behaviour, the quick uptake of smart home technologies offers a huge chance to encourage sustainable lifestyles. This research investigates how advancements in smart home marketing techniques can lower carbon footprints, increase energy efficiency, and improve user engagement. We assess the efficiency of smart appliances, lighting controls, and thermostats in reducing energy use using machine learning algorithms. According to our research, customer adoption rates are increased by personalised suggestions and predictive analytics, and engagement is further increased by incentives like government subsidies. Smart home users' clustering assessment reveals unique behavioural patterns that support focused marketing campaigns. Furthermore, sentiment analysis of customer reviews shows that smart home solutions are often seen favourably. The research's conclusions highlight how AI-powered marketing might hasten the shift to sustainable living, making smart homes a crucial part of a more environmentally friendly future.

Symbiosis International University (IN), Prin. L. N. Welingkar Institute of Management Development and Research (IN), Raffles University Iskandar (MY), Tilak Maharashtra Vidyapeeth (IN), Sharda University (IN)
Responsible consumption and production
Openalex Percentile: Top 92%
Digital Marketing and Social Media
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