Introduction
Personalization at scale – tailoring experiences for each user – has traditionally been resource-intensive.
Generative AI (GenAI) is changing that, enabling companies to deliver one-to-one personalized content
and experiences faster than ever. It’s no longer hype:
Amazon attributes 35% of its revenue to AI-driven
recommendations, and Netflix saves $1 billion annually through AI-powered content personalization.
Moreover,
90% of marketing and customer experience leaders see GenAI as key to improving targeting
and personalization.
With AI, even companies with millions of customers can dynamically tailor marketing, web, and product
experiences. This cheat sheet offers practical AI-powered tactics you can use now to scale up
personalization, regardless of industry or current toolset. You’ll find tips and example prompts to use with
public LLMs (ChatGPT, Claude, etc.) or internal models, covering use cases from content generation to
journey orchestration, all while adhering to enterprise data privacy standards.
Whether you’re in e-commerce, travel, media, or any industry, these tactics will help you deliver relevant
experiences that delight users and drive results.
(Personalization isn’t one-size-fits-all – use these tactics to craft unique experiences for every customer,
efficiently and safely.)
GenAI Quick-Win Playbook for Personalization
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