Product Recommendation Strategies and Best Practices: How to Improve Your E-Commerce Performance

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Imagine if you could increase your e-commerce revenue, improve your users' customer experience, and encourage repeat purchases without having to drastically change your strategy. The key to achieving these goals could be a single step: product recommendations.

An effective product recommendation strategy is one of the most powerful solutions available to e-commerce. By offering personalized recommendations to customers, you can increase your online store's conversions and, at the same time, improve customer loyalty and retention.

In the following paragraphs, we'll cover best practices for creating a winning referral strategy, with practical examples that will help you increase conversions and revenue, and most importantly, how to implement them with Blendee.

What are product recommendations?
Product recommendations are, as the word australia telegram data suggests, purchase recommendations in which products are dynamically populated for each user browsing a website, app, or email, based on data about their purchasing behavior or the occurrence of certain events, thus offering a personalized shopping experience.

The selection of products shown to the customer is usually handled by a product recommendation engine, which, based on the input, selects the most appropriate products to display. Product recommendation should be considered a core activity for all companies that want to offer a personalized shopping experience to their customers.

We know that personalizing the user's shopping experience is essential in the world of e-commerce: suffice it to say that, according to a study conducted by Accenture, 91% of consumers are more likely to buy products from recognized and memorable brands that offer relevant product recommendations.

Among the main products are:

best-selling products;
similar products;
trending products;
frequently purchased products;
recently viewed products.