Recommend actions that increase brand loyalty with Amazon Personalize Next Best Action
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[Amazon Personalize](https://aws.amazon.com/personalize/) is excited to announce the new Next-Best-Action recipe to help you recommend actions that your users have a high probability to take in real-time. Expanding beyond the items or content that Personalize has allowed customers to recommend, this new recipe assists you in determining the next best actions to suggest to your individual users that will help in increasing brand loyalty and conversion. Similar to other Amazon Personalize recipes, Next Best Action does not require ML expertise and allows you to integrate personalization seamlessly into your applications.
With the growth of technology advances in personalization, it is difficult for brands to suggest what actions will maximize engagement for each user. With Next Best Action, you can determine actions that have a high likelihood of engaging individual users based on their preferences and behavior. You can recommend actions such as enrolling in loyalty programs, subscribing to a newsletter, downloading an app, etc. that promote long-term brand engagement. It also enables you to improve return on marketing investment by recommending actions having high relevance to the user.
To get started, you can create a Next Best Action solution with your existing custom dataset group, or create a new custom dataset group and a new solution with the Next Best Action use case. Check out the [blog](https://aws.amazon.com/blogs/machine-learning/build-brand-loyalty-by-recommending-actions-to-your-users-with-amazon-personalize-next-best-action/) and [documentation](https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-next-best-action.html) to learn more.
[Amazon Personalize](https://docs.aws.amazon.com/personalize/) enables customers to personalize your website, app, ads, emails, and more, using the same machine learning technology used by Amazon, without requiring any prior ML experience. To get started with Amazon Personalize, visit our [documentation](https://docs.aws.amazon.com/personalize/latest/dg/getting-started.html).
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