How Product Logics work

The most popular products in your store, that have been included in the most amount of orders for the longest time. The amount of the same products in each order makes no difference.

Usually stays the same for extended periods as long as you have the same products in stock.

Products that recently saw an increase in sales.

No specific time frame is used - it is calculated dynamically based on changes in how the products sell. E.g. if a product normally sells 3 times pr. week but suddenly sells 20 times in two days, a trend is happening. 

Products that were most recently added to the store, with the newest ones shown first.

Requires the attribute “age” or “created_at” to be present on products.

Products that were most recently added to a specific category, sorted by newest first.

Requires the attribute “age” or “created_at” to be present on products.

Products that are the closest matches to the product being viewed, sorted by popularity.

Finds products based on all available attributes like name, brand, category, price and any other data that makes the products similar. 

Fallback 1: If an unknown product ID is provided, Visitor Recommendations are shown

Fallback 2: If the visitor is not known, Best Sellers are shown.

Products that are most likely to be bought with the product being viewed.

This is both based on the actual products bought with it, but also products that are likely to be a good match, e.g. a belt for a pair of pants.

We measure this by analysing which types of products are normally bought together, to allow the same types of recommendations to be displayed even for products that have not been bought together yet.

Fallback 1: If an unknown product ID is provided, Visitor Recommendations are shown

Fallback 2: If the visitor is not known, Best Sellers are shown.

The products that have been sold most with any given product or multiple ones. 

This logic is a lot simpler than Best Cross-Sell Products, as it does not predict any new products to show, but simply counts the ones that have been sold most with the given product(s).

The exact products specified.

If configured to show a higher Number of products than specified, results will be filled with Best Sellers.

Products that are most likely to be bought by a visitor, based on their most recent browsing.

Uses a combination of cross-sell and alternatives to find the best matches for each visitor.

Fallback: If the visitor is unknown, Best Sellers are shown.

Similar products that are most likely to be bought by a visitor, based on their most recent browsing. 

Fallback: If the visitor is unknown, Best Sellers are shown.

The exact products clicked by a visitor.

Fallback: If used in Recommendations Content, no fallback is used. If used in Email Content, Best Sellers are used when the visitor is unknown.

Products that are most likely to be bought by a customer, based on their previous purchases.

Uses a combination of cross-sell and alternatives to find the best matches for each visitor.

Fallback 1: If the customer is unknown, Visitor Recommendations are shown

Fallback 2: If the visitor is not known, Best Sellers are shown.

Similar products that are most likely to be bought by a customer, based on their previous purchases. 

Fallback 1: If the customer is unknown, Visitor Recommendations are shown

Fallback 2: If the visitor is not known, Best Sellers are shown.

The exact products bought by a customer.

Fallback: If used in Recommendations Content, no fallback is used. If used in Email Content, Best Sellers are used when the visitor is unknown.

Best similar pages to the one currently viewed.

Analyses all text of the page to find keywords related to other pages. 

Best matching pages for the product being viewed.

Analyses the products data and compares it to pages that mention the product or related concepts.

Best matching pages for the category being viewed.

Analyses the category's data and compares it to pages that mention the category or related concepts.

Best matching products for the page being viewed, sorted by popularity.

Analyses all text of the page to find keywords related to the specific products

Best matching categories for the page being viewed, sorted by popularity of the products within them.

Analyses all text of the page to find keywords related to the specific categories

Shows the best matches sorted by popularity, for the exact query a visitor typed.

Built-in to Live Search by default. Shows results based on categories matching the search terms. Uses any text available on categories like name, description etc.

Built-in to Live Search by default. Shows results based on pages matching the search terms. Uses any text available on pages like title, text, type etc.