What you can do with Amazon Personalize
Provide expert content recommendations based on your users’ viewing history
Offer personalized product recommendations to your customers based on their shopping history and interests
Build targeted marketing campaigns, promotions, and personalized search results for your customers
Integrate your website, mobile apps, and email marketing systems to offer a unique cross-platform customer experience
Boost your business revenue and improve your conversion rate by leveraging the user activity data in real-time
To effectively use Amazon Personalize, you need to first connect all your data sources corresponding to the different customer touch-points to it. This can become quite a hassle in case you are dealing with multiple sources that generate a lot of data.
By integrating Amazon Personalize with RudderStack, you can easily overcome this problem.
How to set up Amazon Personalize Integration
It’s very easy! Use our step-by-step guide to set up AWS Personalize as a destination in RudderStack, and get started in no time.
Use RudderStack to Send Event Data to AWS Personalize
With RudderStack, you can easily configure Amazon Personalize as a destination to which you can send your event data seamlessly, and in real-time. RudderStack automatically collects all the event data from a variety of data sources and routes it securely to Personalize. You can then use the most up-to-date customer data for building personalized recommendation systems and effective product marketing.
By Adding AWS Personalize Support for RudderStack, you can:
- Send your customer event-data to Amazon Personalize from a variety of data sources
- Ensure real-time, most up-to-date information on your customers and their activities for better content and product recommendations
- Customize the specific types of events that you want to send to Amazon Personalize
- Seamlessly map all the event data to the Personalize schema without any errors
Crate and Barrel
Head of Engineering at Loveholidays
Head of Data Engineering at Mattermost
Data Engineer at Pachyderm
Crate and Barrel