Elevate your marketing solutions with Amazon Personalize and generative AI

Generative artificial intelligence is revolutionizing the way businesses operate, enabling organizations to make data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are utilizing generative AI specifically for their marketing efforts, including emails, push notifications, and other outbound communication channels. According to Gartner, it is predicted that by 2025, 30% of outbound marketing messages from large organizations will be synthetically generated. However, generative AI alone is not sufficient to deliver engaging customer communication. Research shows that personalized communication is the most impactful, as 71% of consumers expect personalized interactions from companies, according to McKinsey. Amazon Personalize and generative AI can be used by customers to curate concise, personalized content for marketing campaigns, increase ad engagement, and enhance conversational chatbots. Developers can leverage Amazon Personalize to build applications powered by the same machine learning technology used by Amazon.com for real-time personalized recommendations. With Amazon Personalize, developers can improve user engagement through personalized product and content recommendations without requiring expertise in machine learning. By utilizing the recipes provided by Amazon Personalize, customers can deliver a wide array of personalization, including specific product or content recommendations, personalized ranking, and user segmentation. As a fully managed artificial intelligence service, Amazon Personalize accelerates customers’ digital transformations with machine learning, making it easier to integrate personalized recommendations into existing websites, applications, email marketing systems, and more. This post demonstrates how Amazon Personalize and generative AI with Amazon Bedrock can elevate marketing campaigns. Together, they allow marketers to tailor their marketing to individual consumer preferences. The post provides two use cases that utilize generative AI to enhance marketing emails. The first use case focuses on delivering targeted one-to-one personalized emails. By importing user interaction data into Amazon Personalize, a model is automatically trained using the Top Picks for You recipe, which provides recommendations aligned with user preferences. Amazon Bedrock then utilizes a prompt that includes user preferences, demographics, and recommended items from Amazon Personalize to generate a personalized email for each user. The second use case discusses elevating one-to-many marketing campaigns. By importing user interaction data into Amazon Personalize, the model is trained using the user segmentation recipe to identify individual users with a propensity for specific items. Amazon Bedrock is then used to generate variations of email content that are relevant and engaging for the target audience. The post concludes by emphasizing the power of integrating Amazon Personalize and Amazon Bedrock to deliver personalized promotional content to the right audience. Generative AI, powered by foundation models, is transforming how businesses create hyper-personalized experiences for consumers. AWS AI services, such as Amazon Personalize and Amazon Bedrock, provide the tools to recommend and deliver personalized products, content, and compelling marketing messages.



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