Why display recommendations for every genre of music when the customer is only interested in Jazz? Green Flying Panda studies each customer’s activity information and patterns to build customized recommendations – this way, they only see what actually interests them!
Global product recommendations can be relevant, but it’s important to always try to customize the customer’s experience in your store and reduce “litter”.
Green Flying Panda studies each customer’s activity information and patterns to build customized recommendations – this way, they only see what actually interests them!Remember – customers are unique!
Custom Built Recommendation Engine
Green Flying Panda features a custom engine that allows you to customize recommendations based on any customer attributes you define
Base recommendations on customers’…
Place recommendations based on previous customer purchases
Place recommendations based on the products you specify – this option is useful to target specific products in a campaign
Place recommendations based on the product that the customer is viewing
Levels of Recommendation
Starting from the product based on the recommendation source above (A), define how wide the extension should search to find product recommendations (B).
In other words, customers who view product A will see recommendations for product B – the following levels define how the product B will be chosen.
Recommends product B, given that customers who bought the product A also bought the product B.
After order only
Recommends product B, given that customers who bought product A also bought product B in their next order.
In this case, product B can refer to accessories or maintenance items for product A that your customers will possibly need.
Recommends product C, which is the most purchased product along with product B (and product B is the most purchased along with product A).
This feature widens the range of products that your customer will view and makes associations that aren’t always noticeable.
Combine customer attributes to get specific and accurate recommendations!
Based on Customer’s Activity
We are so excited and proud of our product. It's really easy to create a landing page for your awesome product.
Products with common attributes
Lists products with the same attribute as other products viewed by the customer.
For example, if a customer sees a lot of Nokia smartphones, recommended products will include all Nokia products.
Related from last completed order
Lists all products related to products in the customer’s last completed order.
If the customer bought a smartphone, the products displayed will be the ones related to that smartphone.
Related products from all previous completed orders
Lists products related to the ones purchased in all the customer’s previous orders.
Products in shopping cart
Lists all products in the customer’s abandoned shopping cart.
Products in a category
Lists products in a specific category defined by you.
Products in customer’s wishlist
Lists products in the customer’s wishlist.
Most viewed products
Lists the most viewed products by the customer.
Lists products most recently added to your store. These are the products marked “Set as new from” in your catalog.
In each of these recomendation options, you can customize specific values for important meta information.
Number of products
Define the number of products displayed in the recommendation widget
Define recommendations from and to dates so you don’t have to manually activate or remove them
If no results…
Define what attibute the extension should use if the recommendation source you choose doesn’t find results for a certain customer.
Customer’s most viewed products
Define a certain product category to display
New items in your store