Powered by Amazon
Use the same technology that powers Amazon to display related product recommendations for your store.
Adapt the recommendations widget to your website's look&feel. Do it yourself, or request us to adapt the widget to your shop's style.
Private and secure
All of your data is encrypted to be private and secure. Data is anonymous to Amazon, and it is not shared between customers.
About Amazon Powered Recommendations
Amazon Powered Recommendations enables you to display product recommendations using the same algorithms that power Amazon.com.
How can you provide Amazon's recommendations technology?
Amazon has a division called "Amazon Web Services", where they provide access to their servers and technologies. One of the products of Amazon Web Services is "Personalize", which provides access to the same algorithms that power their own recommendations engines.
We connect and enhance the Personalize service to make it easily available on your website.
1. Access Amazon's product recommendations engine
Access the Machine Learning algorithms used by Amazon to create recommendations. The algorithm responds to the user specific needs, preferences, and context scenarios like: the type of device used, the country, the traffic source, and more.
2. Automatic recommendations based on context
No need to set up any manual rules by product, or category. The engine will provide the best recommendations based on the context.
3. Improves and learns over time
As the system gathers more data about your visitor's behavior, it provides better recommendations that lead to higher conversion rates.
4. Track ROI with real-time analytics
See the efficiency and performance of each recommended placement.
5. Anonymous, encrypted, and secure
All your data is encrypted, and anonymized before sending it to Amazon. Your data cannot possibly be tracked back to your store.
Free to install
Incremental sales generated by the recommendations engine are charged with a 2.9% variable fee
The overall rating reflects the current state of the app. It accounts for all app reviews but prioritizes the most recent ones.