Voyado Elevate supports a number of different recommendation types for use in different contexts to encourage a more natural shopping behavior and enable browsing by associations for visitors. For example, on product pages there are often areas that show different recommendations related to the product in question, and on a shopping cart page there may be recommendations of products related to the ones that currently sit in the visitor's cart.
Using deep product data understanding and behavioral data, Voyado Elevate can capture the visitor intent and show relevant products for each recommendation type on different page types.
Each of the recommendation types have their intended usage area, but can still be combined in any way possible, such as one Alternatives recommendation and one Upsell recommendation on a product page. To ensure efficient use of retail space, deduplication of products is automatic.
The Recently viewed recommendation offers a personalized touch by displaying products that the visitor has recently browsed or interacted with on the website. Positioned strategically, the Recently viewed recommendation serves as a convenient reminder of products that the visitor has explored, making it easy for them to revisit and make informed decisions. Note that we also allow you to display recently viewed products for empty search phrases from the autocomplete dropdown. If it is missing, you can turn it on in the Auto-complete & Search settings.
The Alternatives recommendation present products that the visitor might consider to buy in place of the product they are currently viewing. This recommendation type is commonly used on a product page. The Alternatives recommendation tries to find relevant products that are similar, both visually and functionally (i.e., of the same or a similar concept and product type) to the product currently viewed by the visitor.
The Top products recommendation uses the following to showcase the most relevant products:
- Aggregated data from all visitor interactions and purchases
- Product event data, such as stock levels
- Product information, such as newness
- A selected exposure strategy
This recommendation type is not only versatile and reactive, but also the default recommendation type.
The Style with recommendation presents products that style wise will go well together with the product that the visitor is currently viewing. This recommendation type is commonly used on a product page. The products shown in a Style with recommendation have been manually curated by a merchandiser. It automatically excludes products without a valid image and products that are out of stock.
The Upsell recommendation present products that are likely to be bought, or otherwise considered, by other visitors within a similar context based on behavioral data and deep data understanding. This recommendation type is commonly used on a product page.
The cart page is a good place to show recommendations of products that are easy to add to the current shopping cart. The Cart recommendation tries to find other related products that are likely to be bought based on the content of the cart.
For generic pages where there is no direct connection to specific products, a visitor's behavioral data is used to provide personalized recommendations. The Personalized recommendation tries to find products that are related to the products that the visitor has already viewed or otherwise interacted with, as they are considered to be the most likely products to be bought.
Everyone has their own personal favorites, and most retailers allow visitors to select and view them later. Voyado Elevate supports recommendations based on these favorites, allowing additional inspiration when visitors browse their favorites page.
The Newest Product recommendation presents products based on newness. The recommendation is suitable to use on a landing page dedicated for new arrivals. The newness days number can be altered in the Experience app.
More from series¶
The More from series recommendation presents products that belong to the same series. This recommendation type is commonly used on a product page.