Practical tips on artificial intelligence and personalization in online business
How does the algorithm of the largest eCommerce site work? Everything you need to know about Amazon's product recommendation engine - we explain how it works.
How can you increase your online store sales with complementary products? Read about personalized product recommendations and how to apply this strategy.
How does Netflix understand our tastes and preferences so well? There is a fairly straightforward answer to this question: a content-based recommendation system based on artificial intelligence. Find out how it works.
The recommendation system for eCommerce collects data about customers of the online store in order to provide them with personalized offers. Check how it works and how to use it.
How does Tiktok's recommendation engine work? Today we explain how its algorithm works and why it's considered to be the best recommendation system ever.
See step-by-step instructions on how to perform A / B testing for purchase recommendations on your online store's website using Google Optimize.
Find out about the types of product recommendation systems and how they differ. When deciding on a recommendation engine, check which model is the best.
See how product recommendations can look on your webiste, how to personalize the appearance of banners, and what is the best locations for them.
Let's focus on the real value of recommendations for online business. Why is it worthy to integrate your shop with recommendation engine? Learn more here.
Learn what is the secret of great recommendations on main streaming and shopping platforms like Amazon, Netflix or Spotify. How does their algorithm work?
Still wondering is it worthy to indroduce a product recommendation system in your store? Is it going to boost my sales? Today we share eight reasons why.
How does Spotify know your music taste so well? Today we talk about its recommendation engine and algorithms. Learn more about Spotify's filtering methods
Not sure what recommendation tools is the best for your online store? Check out our criteria for selecting the right recommendation engine and try it out.
How to integrate a recommendation system in online shop? Check out the short Recostream's guide. -->
How come that based on simple data on customer behavior, systems can generate product recommendations ideally suited to customer preferences? Learn how does the recommendation engine is designed.
By tracking indicators such as CTR (click-through rate), CPA (cost per acquisition) or KPIs (key performance indicators), you can monitor changes and the effectiveness of marketing campaigns and sales support tools.
A decision on when to implement a recommendation system will depend on a potential impact of personalization on the financial performance of a store and diversity of our store’s offer. In other words, on current revenue and number of products we sell.
Personalization has become one of the most visible trends in online sale. Personalized customer service may allow eCommerce stores to substantially increase their revenues, despite the fact that retail sale is on a lower level. See how product recommendation system will increase your revenue.
Everything you need to know about a product recommendation engine and its filtering methods. What it is, how does it work, and finally what are the different types of recommendations. We added examples of usage and pointed the most important benefits of the tool.