How to Deliver Personalized Product Recommendations

Do you want to delight shoppers with personalized product recommendations on your ecommerce website? In our ebook, “Turning Traffic Into Gold” — from our Ecommerce Alchemy series — you’ll learn how to achieve ecommerce profitability by combining product recommendation elements with artificial intelligence (AI).

Feeding your recommendation engine with good data. You'll learn the potential of combining data points so shoppers receive relevant recommendations across their customer journey
Winning combinations that drive profits. See great examples of how to combine customer data and recommendation elements to create winning suggestions.
7 ideas of personalized product recommendations. We give you great product suggestion ideas to quickly create a new personalized shopping experience — plus, when and where you should entice shoppers with these suggestions.

4 key capabilities for an effective product recommendation strategy

Build a solid data layer. Increase the quality of your product suggestions by leveraging in-session behavioral data along with valid product information.
Power with AI and Machine Learning. When fed with the right data, an AI engine can recommend products that meet customer needs and maximize the profitability of your ecommerce website.
Benefit from a user-friendly interface. Easily create relevant recommendations for your shoppers by using a merchandising-first interface — and improve the chances of success of your ecommerce recommendation strategy!
Listen to your customers through rigorous data collection and testing. A/B testing is the most robust way to discover when and where you should entice shoppers with these product suggestions.

Ready to create a personalized experience that delights shoppers and boosts your ecommerce profitability?

Download the ebook