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Machine Learning Made Easy for Marketers with Amazon Personalize
Blog Feature

By: Paul Roetzer

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June 13th, 2019

Machine Learning Made Easy for Marketers with Amazon Personalize

Your brand now has the power to build personalization and recommendation engines using the same technology as Amazon.com—with no machine-learning experience required.

Amazon has introduced Amazon Personalize, which uses Amazon’s machine learning technology to make it easy to develop applications that can:

  • Power personalized experiences
  • Serve up custom content recommendations
  • Individualize search results
  • Run targeted marketing promotions

According to Amazon, “Amazon Personalize reduces the time to build a custom (machine learning) model from months to days. When using Amazon Personalize, customers provide the service an activity stream from an application (e.g. page views, signups, or purchases) along with an inventory of the items to recommend (e.g. music, videos, products, or news articles), and receive recommendations via an API.”

Amazon Personalize is available now in US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Singapore) and EU (Ireland) with additional regions coming soon.

What is Amazon Personalize?

Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.

What are the Benefits?

Amazon highlights four key benefits:

  1. Create high-quality recommendations.
  2. Personalize every touchpoint along the user journey.
  3. Own the moment with real-time recommendations.
  4. Deliver personalization within days, not months.

How Much Does it Cost?

Amazon Personalize touts a pay-for-use model. There are no minimum fees or upfront commitments, and customers are charged based data processing and storage, compute hours to train the models and the number of recommendations performed.

  • Data ingestion @ $0.05 per GM
  • Training @ $0.24 per training hour
  • Recommendation @ starting at $0.20 per TPS-hour for real-time recommendations (TPS = transactions per second)

Check out the Amazon Personalize pricing page for a pricing example for a media company using the technology to power content discovery and recommendations. Amazon also includes pricing calculators.

A free trial is available.

How Can You Learn More about Amazon Personalize?

Visit the Amazon Personalize website for more information.

The AI Conference Just for Marketers: www.maicon.ai

 

About Paul Roetzer

Paul Roetzer (@paulroetzer) is founder and CEO of PR 20/20, author of The Marketing Performance Blueprint and The Marketing Agency Blueprint, and creator of The Marketing Artificial Intelligence Institute and Marketing Score. Full bio.

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