10 Best Techniques for AI Product Recommendations
Posted: Sun Dec 22, 2024 5:44 am
5. Reduce Cart Abandonment and Promote Conversions
Ecommerce businesses lose a whopping $18 billion to cart abandonment every year. Study shows that about 69.82% of online carts are abandoned. AI-powered customizable product recomm russia phone number lookup endations can hold customers back and prompt them to complete their purchases.
Many tactics have been tried and tested. For instance, ASOS uses the sense of urgency tactic where customers have only one hour to complete a purchase or lose the cart.
The best practices for ecommerce product recommendations center around conversion, which is just about the most relevant metric you need to measure your ROI. Granted, research conducted among marketers in both the U.S. and the U.K. shows that 90% of product recommendation strategies result in increased conversions. However, always remember that properly optimizing and implementing your strategies is key.
Here are 10 best techniques for AI product recommendations we’ve effectively implemented for our clients.
1. Define your Audience
To make user-specific recommendations, first, you must define your audience. There is no room for assumptions, and having a standard buyer persona alone is not helpful, as buyer intent differs from one customer to another. So, you’ll need to build a preference profile for every visitor to your site based on the following data:
Geographic location
Cart and purchase history
Browsing device — PC or mobile (Android/iOS)
Customer’s age
Session duration — the total amount of time the customer spends on your site
This data helps the recommender system segment and predict what the customer intends to purchase.
Ecommerce businesses lose a whopping $18 billion to cart abandonment every year. Study shows that about 69.82% of online carts are abandoned. AI-powered customizable product recomm russia phone number lookup endations can hold customers back and prompt them to complete their purchases.
Many tactics have been tried and tested. For instance, ASOS uses the sense of urgency tactic where customers have only one hour to complete a purchase or lose the cart.
The best practices for ecommerce product recommendations center around conversion, which is just about the most relevant metric you need to measure your ROI. Granted, research conducted among marketers in both the U.S. and the U.K. shows that 90% of product recommendation strategies result in increased conversions. However, always remember that properly optimizing and implementing your strategies is key.
Here are 10 best techniques for AI product recommendations we’ve effectively implemented for our clients.
1. Define your Audience
To make user-specific recommendations, first, you must define your audience. There is no room for assumptions, and having a standard buyer persona alone is not helpful, as buyer intent differs from one customer to another. So, you’ll need to build a preference profile for every visitor to your site based on the following data:
Geographic location
Cart and purchase history
Browsing device — PC or mobile (Android/iOS)
Customer’s age
Session duration — the total amount of time the customer spends on your site
This data helps the recommender system segment and predict what the customer intends to purchase.