Revolutionizing Product Marketing: Harnessing the Power of AI/ML
Keywords:
AI/ML in Marketing, Personalization and Recommendations, Sentiment Analysis, Content Generation and Automation, Customer ProfilingAbstract
The rapid convergence of artificial intelligence (AI) and machine learning (ML) technologies in marketing has ushered in a new era of product promotion and engagement. This study delves into the many ways in which AI/ML can revolutionize product marketing strategies, showing a comprehensive range of methods and tools available. The presented high-level architecture illustrates the interconnectedness of AI-based marketing components, ranging from personalized recommendations and chatbots to sentiment analysis and video engagement prediction. A detailed exploration of AI/ML's potential is accompanied by a practical guide to employing these techniques. From personalization and predictive analysis to influencer collaboration and sentiment analysis, this study examines how each approach contributes to crafting effective marketing campaigns. Moreover, the integration of AI/ML in marketing is accompanied by a plethora of machine learning algorithms that facilitate various tasks. The provided taxonomy outlines a diverse range of algorithms, their purposes, and estimated timeframes for implementation.
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