What are personalized product recommendations?

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As you might expect, the most important aspect of personalizedproduct recommendationsis that they are personalized . This means that any product recommendations a customer receives from your website and marketing materials are considered relevant and useful. To achieve this, companies like yours need to leverage data about past and present user behavior.

Today, building a personalized product strategy is simplified by purpose-built apps and e-commerce platforms.

Engine approaches for e-commerce product recommendations
No matter which platform you use, there are three main iran phone number list approaches to implementing product recommendations.

Collaborative filtering
Intuitively, visitors to your website are classified as either first-time or returning users. First-time visitors are the hardest to recommend – you have no past user data to gain insight from!

This type of recommendation approach is designed for unique visitors to your e-commerce site. All recommendations will be based on the entire set of user data available to you. This means that every new user will be directly targeted with your best-selling products.

But as a user navigates your website, the platform will be able to start segmenting them into a preference profile orbather. Preference profiles can be based on things like purchase history, geographic location, age, and browsing device. Of course, you may not have all of this information at first.


Let's say the engine has determined that customers who buy Nike high-tops are also likely to buy Converse All-Stars. If a new visitor visits any of those product pages, they will automatically receive a related product suggestion.