The best product recommendation tactics
Posted: Sun May 18, 2025 9:23 am
There are several referral strategies you can implement to improve the effectiveness of your e-commerce business. Each tactic has the potential to maximize revenue and improve customer experience. Here are the most effective:
1. Best Sellers
Recommendations that showcase best-selling products are ideal for attracting new users and maximizing revenue. Showcasing the most popular items from your catalog boosts trust and desire to purchase.
2. Similar products
This type of recommendation suggests items that share characteristics with those the user is currently viewing. For example, if a customer is viewing a ski jacket, they may be interested in other ski jackets from different brands, but similar in quality or price.
3. Products purchased together
Recommendations based on frequent purchases offer a great cross-selling opportunity. If a customer purchases a laptop, suggesting a compatible case or mouse can significantly increase the order value.
4. Social proof
User reviews and ratings play a crucial role in purchasing decisions. Including customer reviews and showcasing popular products can encourage new users to complete a purchase.
Product Recommendations with Blendee: Some Useful Tips
Blendee provides its users with its own product recommendation engine, which, combined with the ability to segment audiences, allows for personalized product recommendations at any level. The recommendations can then be inserted into various sections of your e-commerce site:
home page;
product details page;
category page;
cart page;
search page;
landing page;
user registration page;
payment page;
another page.
When creating a recommendation, you australia telegram data can select the type of algorithm you want to use to choose which products to show to the user.
Blendee allows you to configure product recommendations based on various algorithms.
These are the main ones:
Trend recommendation : the most popular products from the catalog are displayed by click and view;
Personalized recommendation : Selected products are suggested to the user based on their recent browsing history within the site;
personalized trend recommendation : in this case, the algorithm shows products mixing the two previous ones;
Recommendation by browsing history : products are shown based on what the user has viewed;
Personalized recommendation by sales : the algorithm shows suggested products based on those the user has recently purchased;
Shopping cart recommendation : products are recommended based on those the user has placed in the shopping cart;
Remarketing recommendation : products that the user has viewed in the last few days but has not purchased are shown.
1. Best Sellers
Recommendations that showcase best-selling products are ideal for attracting new users and maximizing revenue. Showcasing the most popular items from your catalog boosts trust and desire to purchase.
2. Similar products
This type of recommendation suggests items that share characteristics with those the user is currently viewing. For example, if a customer is viewing a ski jacket, they may be interested in other ski jackets from different brands, but similar in quality or price.
3. Products purchased together
Recommendations based on frequent purchases offer a great cross-selling opportunity. If a customer purchases a laptop, suggesting a compatible case or mouse can significantly increase the order value.
4. Social proof
User reviews and ratings play a crucial role in purchasing decisions. Including customer reviews and showcasing popular products can encourage new users to complete a purchase.
Product Recommendations with Blendee: Some Useful Tips
Blendee provides its users with its own product recommendation engine, which, combined with the ability to segment audiences, allows for personalized product recommendations at any level. The recommendations can then be inserted into various sections of your e-commerce site:
home page;
product details page;
category page;
cart page;
search page;
landing page;
user registration page;
payment page;
another page.
When creating a recommendation, you australia telegram data can select the type of algorithm you want to use to choose which products to show to the user.
Blendee allows you to configure product recommendations based on various algorithms.
These are the main ones:
Trend recommendation : the most popular products from the catalog are displayed by click and view;
Personalized recommendation : Selected products are suggested to the user based on their recent browsing history within the site;
personalized trend recommendation : in this case, the algorithm shows products mixing the two previous ones;
Recommendation by browsing history : products are shown based on what the user has viewed;
Personalized recommendation by sales : the algorithm shows suggested products based on those the user has recently purchased;
Shopping cart recommendation : products are recommended based on those the user has placed in the shopping cart;
Remarketing recommendation : products that the user has viewed in the last few days but has not purchased are shown.