We’ll implement an Amazon Personalize recommender system for you. Start serving better content recommendations in as little as 30 days.
Suggest content to your visitors based on behavior, demographics and context. Drive-up page views, video play rate, social shares and the KPIs that drive your revenue.
You’re fighting for your users’ attention at every moment, on every device. Use recommendations to keep them on your site longer. And bring them back more often.
Stop serving the same ‘most popular’ content to everyone. Advanced sequential modeling techniques increase the accuracy of your predictions to boost your performance.
Your custom recommendation system runs on Amazon Personalize, giving you access to the best deep learning algorithms and most proven ML tech available.
Optimize your recommendation system for the metrics that matter to you. We’ll match your data to the right algorithms and tweak it to emphasize your most important content.
Don’t trust your future to a SaaS startup or black-box solution. Instead, Personalize gives you access to all of your code so you can customize the installation for your business.
Amazon Personalize is easily scalable and has applications beyond recommendations, like serving personalized search results or targeted notifications and emails.
We’ve built complex recommender systems from scratch, so we know how this works. We’ll help you design a project plan that achieves your goals.
Our engineers export your data to AWS, setup your Personalize integration and configure everything to fit seamlessly into your existing workflows.
We’ll customize the setup and train your algorithm to get the results you need. Then we’ll help you test and analyze production results.
Rely on us for monthly updates and troubleshooting. We’ll help you understand your recommendations and dig into anything that doesn’t seem right.
What your users are doing right now will impact the suggestions that you serve next.
Use the sequence of actions as a guiding indicator of what your visitors want to see next.
Your recommender system learns from past performance and self-optimizes to improve.
Get advanced algorithms by Amazon that go beyond simple rule-based decisions.
Combine contextual factors, like location or demographics, with user activity for stronger predictions.
From importing data to training the algorithms to system integration, we'll handle everything.
Explore media applications beyond suggested content. Like smart search or targeted notifications.
Amazon Personalize is a platform/service offered by Amazon to provide real-time personalized recommendations.
It's built the same machine learning technology used by Amazon.com When it's implemented correctly, it can help you make better recommendations to your users to boost content engagement rates and increase revenue.
We’re a highly-experienced team of machine learning engineers and data scientists that designs, builds and integrates custom ML solutions.
We’ve completed over 35 end-to-end machine learning projects for over 20 leading companies, making us one of the most experienced ML firms in Europe.
Think about this--30% of Amazon's page views are driven by recommendations. Even tiny increases in engagement will pay big rewards over time as you fight for your users' attention. If you don't do it, you're handing your competitors a huge opportunity.
The advanced algorithms developed by Amazon process clickstream data in real-time to understand both the sequence and context of user activity. That gives you more accurate recommendations than any rule-based system. Personalize is even optimized to deal with challenging scenarios like cold start--when you have users or new content without sufficient historical data.
Amazon Personalize is now available to all AWS customers. But if you’ve never built a recommender before then you’re going to need help if you want to get results right away.
We've built multiple recommenders from the ground up for major media companies, so you can trust us to get yours set up correctly and quickly. And to monitor and measure your results.