BigCommerce Product Recommendations

Personalized products recommendations are basically relevant online suggestions generated by a recommendation engine (also called a recommender system), which uses an AI-based algorithm and filtering options based on what’s known about the customer’s online behavior, past purchases, inclinations, etc.

Our BigCommerce product recommendation feature uses a sophisticated algorithm that analyzes user behavior data, such as browsing history, purchase history, and cart abandonment, to suggest personalized product recommendations.

It takes into account past user behavior on your website to suggest product types that are most likely to interest your customers. This helps to improve the relevance of product recommendations and increases the chances of conversion.

When it comes to running a successful e-commerce store, many stores focus on creating engaging product titles, setting the right product price, writing catchy product descriptions, optimizing the product URL, uploading attractive product thumbnail images, offering product warranty, and customizing different products sections. But what’s the point of putting in so much effort when customers can’t really find the product types they’re most interested in?

This is where personalized product recommendations help. No matter what type of product you have, with a product recommender like Luigi’s Box, you can increase your sales, improve user experience, boost AOV, and encourage more repeat purchases.

Our Recommender is a subset of products that help streamline how you run and manage an online store. You can easily measure how many customers click on your recommendations and whether your recommendations are relevant to your customers. Luigi’s Box also supports product code recognition, helping customers find desired products quickly with product codes.

Today, many businesses use personalized recommendations to facilitate the customer shopping experience by displaying relevant products. For example, e-commerce websites and marketplaces like eBay, Etsy, and Amazon use personalization to help customers find relevant products as soon as they start typing in the search box.

Streaming sites like Netflix and Spotify also leverage personalization to allow users to have a different view of their content that adapts to their interests. Moreover, many news websites also use AI algorithms to give article recommendations.

Several shopping comparison sites have also taken personalization to the next level by offering recommendations in chat and generating automated feeds for shopping comparison. Likewise, many brands are also using AI-driven personalization to deliver relevant answers in chat.

BigCommerce also has several other built-in features that streamline how you build and run your store. For example, you can use the ‘Add from URL’ button to add a YouTube video of your product. You can also set the minimum quantity and maximum quantity of individual products. BigCommerce is equipped with many SEO features to support your e-shop’s growth. For instance, you can add optimized product image descriptions. You can even add alternate text to your default image that provides information about the image for users who can’t view it.

Luigi’s Box works seamlessly with BigCommerce. You can place the widget anywhere on your site and can easily customize the look and feel of the product recommendations block to match your brand. Our BigCommerce Product Recommendations feature provides various design and layout options that you can choose from.