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Category: Product Recommendation

Increase AOV With Personalised Product Recommendations

In eCommerce, driving revenue is often considered the culmination of strategic efforts to boost traffic. However, businesses can increase their profits by looking at their existing customer base. The key is to increase their average order value (AOV). This metric is the average value of your online sales, which can be calculated by dividing the ...

19 Apr 2018
The Unmissable Value of Personalized Product Recommendations

Customers love the personal touch. From emails that address them by name, to personalized product recommendations, ecommerce in 2018 is more connected with the customer than ever before. Advancing AI technology helps ecommerce websites drive online sales by analyzing consumer behavior online, anticipating their next move and presenting shoppers with options that feed directly into ...

05 Apr 2018
Different Approaches to Product Recommendations

Imagine walking into a store, being greeted by name and having the staff guide you around, showing you only items that you actually like and have a genuine interest in buying. What if they knew your favorite colors, styles and tastes? What if they could streamline your shopping experience without any of the hassle of ...

29 Mar 2018
Tips for Converting Customers That Are Interested in Sold-Out Products

It takes considerable effort to get people to visit your ecommerce store, and even more to persuade them to make a purchase. As customers close in on the finish line, you need to make sure your strategy for conversion optimization has all the bases covered. When products are sold-out, even the best laid plans can ...

20 Mar 2018
Learn Everything About Recommendation Engines Inside Out

Have you ever felt like Amazon knows exactly what you want and wondered why? Do you think you have a product you know your customers will like but having hard time with getting discovered? If that is the case, you need to get familiar with the star of the e-commerce Recommendation Engines. Recommendation engines are ...

20 Jan 2015