How to Deliver Personalized Product Recommendations

• 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?