Grow Your Brand With Machine Learning Technology Used at Amazon.com
HiConversion Recommend is powered by Amazon Personalize, a machine learning service provided by Amazon Web Services that leverages over 20 years of machine learning and personalization technology innovations on Amazon.com.
Uncover New Revenue Growth Your Web Traffic Is Hiding
HiConversion Recommend learns and adapts in real time creating ultra-relevant recommendations for new visitors and returning customers. It’s like having a personal shopper helping your visitors discover products they’ll love.
Turn Shopper Insights Into Your New Competitive Advantage
HiConversion Recommend intelligently learns from every visitor interaction to generate truly actionable insights. You’ll unlock new potential customers and product marketing opportunities.
Intelligent Merchandising That’s Easy To Use – No Coding Required.
Motivate and inspire your visitors to take action with fast, smart and scalable product recommendation automation. Keep your recommendations on-brand with our powerful visual editor.
MY SUPPLEMENTS STORE
“We have been in search of a good personalization and recommendation tool for our Shopify Plus store for a couple years now. I was introduced to HiConversion and decided to test them out. After only a month, the results have been better than any other platform we have tested. A 58% increase in our average order amount is just one result from this app. Very easy to use and their team is always helpful in answering any questions you have. We have a couple other companies that we will be implementing this on next. If your company is looking to get into personalization, then you really need to try out HiConversion.”
– Jeff Moriarty, Director of Marketing
Product Recommendation Resources
Product Discovery 101: The Amazon Way
Session-based recommendation can increase engagement and conversions. Learn how with this exclusive guide.
Product Merchandising Strategies for Shopify
Transform your site with product centric recommendations. Guide visitors, drive engagement, and grow new revenue.