Influence purchase decisions by displaying
what others frequently buy together
What are ‘frequently bought together’ product recommendations?
The cross-sell feature that you’ve probably used on Amazon, recommends products based on the purchasing habits of customers, driving visitors to add more items to their cart.
With WISER, you can recommend items that are typically complementary to the first or have been purchased at the same time by a large number of previous customers.
With this widget, a visitor can add all of the products to their cart at once as well!
How do Frequently Bought Together product recommendations work?
WISER leverages item-to-item collaborative filtering with the help of its AI-powered recommendation engine to personalize shopping experience by customer.
The algorithm bases the recommendations on a user’s purchase history, items they have looked at and not purchased, items they have rated and reviewed, and what other buyers of those same items have viewed and bought.
Call this a thoughtful way of making product recommendations to your Shopify store visitors.
Why use Frequently Bought Together product recommendations?
A tactic that has been used by Amazon for years and accounts for 33% of their revenue, here’s why frequently bought together recommendations work:
- Plays on consumer psychology of wanting to follow trends
- Based on proven purchase patterns and behaviour
- Bundles are a common and effective sales tactic
- Smart upselling and cross-selling strategy that fits into natural shopping behaviour
Influence purchase decisions by displaying
what others frequently buy together
What are ‘frequently bought together’ product recommendations?
The cross-sell feature that you’ve probably used on Amazon, recommends products based on the purchasing habits of customers, driving visitors to add more items to their cart.
With WISER, you can recommend items that are typically complementary to the first or have been purchased at the same time by a large number of previous customers.
With this widget, a visitor can add all of the products to their cart at once as well!
How do Frequently Bought Together product recommendations work?
WISER leverages item-to-item collaborative filtering with the help of its AI-powered recommendation engine to personalize shopping experience by customer.
The algorithm bases the recommendations on a user’s purchase history, items they have looked at and not purchased, items they have rated and reviewed, and what other buyers of those same items have viewed and bought.
Call this a thoughtful way of making product recommendations to your Shopify store visitors.
Why use Frequently Bought Together product recommendations?
A tactic that has been used by Amazon for years and accounts for 33% of their revenue, here’s why frequently bought together recommendations work:
- Plays on consumer psychology of wanting to follow trends
- Based on proven purchase patterns and behaviour
- Bundles are a common and effective sales tactic
- Smart upselling and cross-selling strategy that fits into natural shopping behaviour
Benefits of displaying Frequently bought
Together product recommendations
Creates cross-sell opportunities
Increases average order value
Boosts overall revenue
Improves product discoverability
Creates dynamic bundles
Increases time spent on site
Where can you display Frequently bought Together
product recommendations?
On the product page
Let customers know what people buy alongside the product they like
On the cart page
Recommend more products based on preference to add to cart
On the checkout page
Cross-sell products before a visitor completes purchase
...and get people to buy more at every visit!
Leverage the power of AI-based personalized recommendations
Analyse browsing patterns, preferences, order data, interests and much more with the WISER
Shopify app. Provide a personalized shopping experience across web, mobile and email to
drive upto 35% higher conversions.
%
Increase in Customer Engagement
%
Increase in Monthly Sales
+
Recommendation Features
%
Increase in Average Order Value