This study emphasizes the adoption of AI in advancing sustainable marketing practices in green influencer marketing, especially those associated with clean energy and environmentally friendly consumer goods. It especially concerns itself with targeting techniques, personalizing content, and measurement of the sustainability impacts. Various authors upon review also see the integration of artificial intelligence (AI) into strategies of green influencer marketing (GIM) as far as clean energy and green consumer products are concerned. The major focus on this literature review is on the three activities mentioned: AI-driven targeting strategies, content personalization, and methods for measuring sustainability impacts. Study findings show that AI is relatively efficient in differentiating and categorizing eco-conscious publics and employing machine learning, social network mapping, and other such tools that aid in the matchmaking of micro and nano influencer masterminding with green campaigns. That pertains to content personalization, so AI technologies, for example, through NLP and generative AI, are useful tools within storytelling for sustainability; however, AI’s role in generating images might upset perception, particularly in green scenarios. As targeting and personalization platforms continue to improve, the quest for campaign sustainable social impact measurement remains largely unaddressed. The prevalent way of doing this strains resources by only measuring events and AI sentiment analysis without caring about the real rate of environmental impact, such as carbon reduction. While AI offers the possibility of a perfectly personalized strategy, ethical considerations like greenwashing and algorithm bias should prompt questions of ego transparency and alignment with the real goals. Future research agenda, thus, should include overcoming gaps beyond creating sustainability impacts, identifying real-time campaign adaptability, and inspiring trust from AI content. Scope of the paper is to show through a literature review the transformative role AI plays in advancing eco-conscious marketing and calls for marketing to be connected to measurable environmental good. The paper provides an exhaustive account of the transformative process of AI in the advancement of eco-marketing practices, stressing the urgency for integrating marketing campaigns with assessable environmental benefits.

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AI Meets Sustainability: Evolving Green Influencer Marketing Practices

  • Happy Agrawal,
  • Sarita Agrawal

摘要

This study emphasizes the adoption of AI in advancing sustainable marketing practices in green influencer marketing, especially those associated with clean energy and environmentally friendly consumer goods. It especially concerns itself with targeting techniques, personalizing content, and measurement of the sustainability impacts. Various authors upon review also see the integration of artificial intelligence (AI) into strategies of green influencer marketing (GIM) as far as clean energy and green consumer products are concerned. The major focus on this literature review is on the three activities mentioned: AI-driven targeting strategies, content personalization, and methods for measuring sustainability impacts. Study findings show that AI is relatively efficient in differentiating and categorizing eco-conscious publics and employing machine learning, social network mapping, and other such tools that aid in the matchmaking of micro and nano influencer masterminding with green campaigns. That pertains to content personalization, so AI technologies, for example, through NLP and generative AI, are useful tools within storytelling for sustainability; however, AI’s role in generating images might upset perception, particularly in green scenarios. As targeting and personalization platforms continue to improve, the quest for campaign sustainable social impact measurement remains largely unaddressed. The prevalent way of doing this strains resources by only measuring events and AI sentiment analysis without caring about the real rate of environmental impact, such as carbon reduction. While AI offers the possibility of a perfectly personalized strategy, ethical considerations like greenwashing and algorithm bias should prompt questions of ego transparency and alignment with the real goals. Future research agenda, thus, should include overcoming gaps beyond creating sustainability impacts, identifying real-time campaign adaptability, and inspiring trust from AI content. Scope of the paper is to show through a literature review the transformative role AI plays in advancing eco-conscious marketing and calls for marketing to be connected to measurable environmental good. The paper provides an exhaustive account of the transformative process of AI in the advancement of eco-marketing practices, stressing the urgency for integrating marketing campaigns with assessable environmental benefits.