5 Elements You'll Find in the Best Ecommerce Recommendation Systems
What’s Inside
What’s Inside
In today’s online environment, it’s imperative to provide your visitors with ecommerce recommendations to move them toward a purchase. Placing recommended categories like “trending now” or “only a few left” strategically throughout your site invites your online customers to explore options with confidence and ease, just like they would in a brick-and-mortar shop. Instead of a helpful sales associate guiding them to the perfect item, your onsite recommendation strategy does that same job (even more efficiently, too).
Inside the infographic, we share the five critical categories of a recommender system that will enhance your visitor's online experience and help create more value with each customer by increasing conversion rates and average order value.
These are relevant product recommendations based on things like popularity, trends, and new releases. These categories trigger interest based on what other people are buying. If a customer sees that an item is a “best seller” or “hot right now”, it’s natural for them to view it as a valuable option that they don’t want to miss out on. To get the most out of this category, use the right data, trends, and new products to spark customer interest.
#2 Business-Based Recommendations
#2 Business-Based Recommendations
This is more about the needs of the business than the desire of the customer, but it’s an important category to include in your site recommendations. You can recommend products based on profitability or inventory needs to help support the current goals of the business. For example, you can position discounted items to be recommended when someone is checking out to encourage last-minute add-ons and increase the cart value.
#3 Profile-Based Recommendations
#3 Profile-Based Recommendations
In a world of personalized digital experiences, it’s vital to recommend products based on your customer data, including onsite, offside, implicit, and explicit data. Your recommender system should be equipped with the ability to gather and interpret data to provide the most relevant personalized product recommendations possible.
#4 Product-Based Recommendations
#4 Product-Based Recommendations
This category focuses on commerce recommendations based on the products a customer is already looking for. Whether it’s an accessory to a product, a similar yet more affordable option, or a complimentary product, visitors are presented with options that make their shopping experience more intuitive and more complete.
#5 Content-Based Recommendations
#5 Content-Based Recommendations
There’s more on your site besides products. Content-Based Recommendations suggest articles, product guides, and other on-site content that helps improve the overall online shopping experience.