Most shoppers are indecisive, and displaying a timely and personalized list of suggested products can be what they need to make a purchase. Even if the customer doesn’t buy, it can insp russia phone number lookup ire them to check a category page they ordinarily wouldn’t have bothered with.
This footwear brand recommends shoes based on the type of shoe the customer is interested in.
The “bought together” tag is a great recommendation strategy that shows a customer buying a product the complementary products other customers also purchased. This is similar to the beer and diapers strategy used by brick-and-mortar stores, where beers are stocked next to diapers because of past customer behavior. When it comes to recommending “frequently bought together” products, Amazon takes the cake. With Reteno’s help, your business can get its share, too. Recommending products that are often bought together ensures customer satisfaction and also increases the average order value.
11. Consider Upselling
Upselling products involves selling a more expensive product to a customer who is considering cheaper alternatives. Upselling and cross-selling has been shown to drive sales and revenue by 10-30%.
Examples of AI Product Recommendations
The following are good examples of AI product recommendations at its finest.
1. Umico
Umico is an all-in-one e-commerce platform with a marketplace, loyalty program, and mobile bank. It boasts over 1.5 million customers, and its app version generates over 5 million organic visits monthly. Thanks to Reteno, Umico’s customer data is segmented in one place and also includes different communication channels in their marketing strategy. These include personalized product recommendation widgets, push notifications, emails, and app inbox notifications.
Umico currently has a 20% decline in abandoned cart rate with a 2 times increase in conversion. These results are over the roof, considering that competitors like Amazon have a whopping 69% rate of cart abandonment. Still wondering if Reteno is the best fit for your personalized product recommendation needs? Let’s get down to the next example.
2. Prom.ua
Prom.ua is one of the leading m-commerce companies in Europe, having over 100 million products, 60 thousand merchants, and 140 million monthly visitors. Even then, they were struggling with customer retention. We solved this problem by utilizing AI product recommendations, customer segmentation, customer recommendation, and implementing event-triggered campaigns.
For instance, if a visitor viewed a category page without proceeding to the product page, recommendations, including new arrivals and bestsellers, pop up. Visitors, seeing product listings based on search queries, receive reminders with search results. Otherwise, they’d get recommendations from past purchases.
If you go over to Prom.ua and search for Apple Watch, something similar notification to the image below would pop up:
Time is ticking! Contact us to deploy Reteno’s personalized product recommendation engine and watch your sales skyrocket.