Reduce Amazon Personalize
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

Amazon Personalize cost saving tips Optimize your Amazon Personalize costs with these tips

#1

Delete Unused Models

Regularly review and delete your models and campaigns that are no longer needed. You are charged per model so this can lower costs.

#2

Optimize Dataset Size

Use smaller dataset sizes and model types where possible to optimize costs. The guidance to do this is found in the AWS documentation

#3

Auto-scaling

Use automatic scaling features to optimize resource provisioning for your workload, scaling up during peak usage and down when not needed.

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“We found that our AWS costs were spiraling out of control. Following ElasticScale their advice we were able to save 60% on costs without compromising performance!”

John Schrijvers
John Schrijvers
CEO of Dataswitcher

Other AWS cost saving tips We also have tips for the following AWS services

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About Amazon Personalize Service information & pricing

About Amazon Personalize

Amazon Personalize is a machine learning system that improves customer experiences and boosts revenue through data unification, loyalty promotion, and optimization of personalization engines. It provides real-time suggestions, aids digital transformation, and works well with existing platforms. Further, it enhances customer targeting, manages rule-based promotions, and uses data efficiently. It consequently leads to increased customer purchases and long-term engagement.

↗ More information on AWS website

Amazon Personalize pricing

Amazon Personalize operates on a pay-as-you-go scheme. Charging $0.05/GB for data storage and processing and $0.24 per training hour. Real-time recommendations cost $0.0556/1,000 for the initial 72 million requests, decreasing with increased usage. Batch recommendations cost $0.067/1,000 for the first 20 million and similarly decrease. Additional costs for specific features like including Item metadata in requests apply.

↗ More information on AWS website

Customers we've worked for over the years:

Exact Online
Dataswitcher
Airfrance KLM
Troostwijk Auctions
Intuit
mollie