THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES

Sodiq Odetunde Babatunde, Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi, Damilola Oluwaseun Ogundipe
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Abstract

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant marketing experiences. AI can personalize messages based on consumer behavior and demographics, influencing the processing route and maximizing engagement. This theory explores the use of game mechanics to motivate and engage users. AI can personalize gamified marketing experiences, tailoring rewards and challenges to individual consumer preferences, driving deeper engagement. Algorithms can analyze vast amounts of customer data to predict individual preferences and behaviors. This allows for targeted advertising, product recommendations, and content that resonates with specific consumer segments. Natural Language Processing (NLP), AI-powered NLP tools analyze customer reviews, social media conversations, and other forms of unstructured data. This allows brands to understand customer sentiment and personalize communication styles for optimal engagement AI-powered chatbots and virtual assistants can provide personalized customer support and product recommendations in real-time, fostering a more interactive and engaging brand experience. Potential Benefits and Considerations Personalized marketing messages and experiences cater to individual needs and preferences, leading to higher satisfaction and loyalty. By tailoring content and offerings to specific consumer segments, brands can establish a more relevant and relatable image. Improved Conversion Rates, Personalized marketing campaigns can be highly targeted and effective, leading to increased conversions and sales. Balancing personalization with data privacy concerns is crucial. Transparency and user control over data collection practices are essential. AI algorithms can perpetuate biases present in training data. Ensuring fairness and inclusivity in AI-powered marketing is paramount. AI is revolutionizing marketing personalization. By leveraging AI's analytical capabilities and understanding the theoretical aspects of consumer engagement, brands can develop targeted and relevant marketing strategies that foster deeper customer connections and drive business growth. Keywords:  AI Personalization, Consumer Engagement, Marketing Strategy, Theoretical Exploration, Data Privacy, Algorithmic Bias.
人工智能在营销个性化中的作用:消费者参与策略的理论探索
本文探讨了人工智能(AI)在个性化营销战略中的变革潜力。它深入探讨了消费者参与的理论基础,研究了如何利用人工智能开发有针对性的相关营销体验。人工智能可以根据消费者行为和人口统计学特征个性化信息,影响处理路径并最大限度地提高参与度。这一理论探讨了如何利用游戏机制来激励和吸引用户。人工智能可以个性化游戏化营销体验,根据消费者的个人喜好量身定制奖励和挑战,从而推动更深层次的参与。算法可以分析大量客户数据,预测个人偏好和行为。这样就可以有针对性地投放广告、推荐产品和内容,引起特定消费群体的共鸣。自然语言处理(NLP),人工智能驱动的 NLP 工具可分析客户评论、社交媒体对话和其他形式的非结构化数据。人工智能驱动的聊天机器人和虚拟助理可以实时提供个性化的客户支持和产品推荐,促进更具互动性和参与性的品牌体验。潜在优势和考虑因素 个性化营销信息和体验可满足个人需求和偏好,从而提高满意度和忠诚度。通过为特定消费群体量身定制内容和产品,品牌可以树立更相关、更亲近的形象。提高转换率:个性化营销活动具有高度针对性和有效性,可提高转换率和销售额。平衡个性化与数据隐私问题至关重要。数据收集行为的透明度和用户控制至关重要。人工智能算法可能会延续训练数据中存在的偏见。确保人工智能营销的公平性和包容性至关重要。人工智能正在彻底改变营销个性化。通过利用人工智能的分析能力和了解消费者参与的理论方面,品牌可以制定有针对性和相关性的营销策略,从而促进更深层次的客户联系并推动业务增长。关键词 人工智能个性化、消费者参与、营销策略、理论探索、数据隐私、算法偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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