With the help of analyzing tools, you can d russia phone number lookup etermine customer browsing behavior and other data to increase the appeal and the chances of making a sale.
According to Accenture, 91% of customers are more likely to shop with brands that provide offers and recommendations that are relevant to them. Here’s a typical illustration of how it all works.
Still don’t understand how personalized product recommendation drives sales? Here’s a basic explanation.
Ai-powered recommendations are practically an advanced version of the ‘in-your-face’ marketing strategy. Throw in psychology, buying patterns, and customer motivation into the mix, and you have your increased sale rates.
When done right, personalized product recommendations can increase the average amount your existing customers spend on a single order. This is especially true for cart pages. You can recommend related products, discounted products, complementary products, etc.
Take a quick look at how Beauty Bay implemented theirs:
3. Improve User Engagement and Customer Satisfaction
Recommending personalized products based on customer interests provides them with a good shopping experience. This increases brand loyalty and makes it easy to stand out among competitors. It’s important to note that to achieve this, the recommendations must be data-driven and relevant.
4. Promote customer retention
As far as e-commerce marketing goes, an AI product recommendations strategy is a powerful tool for promoting customer retention. You are making a terrible mistake if your only focus is converting new customers. Retaining customers has been shown to increase ROI by 500-800 percent. This is a perfect example of a ‘low hanging fruit’ marketing strategy where you focus on keeping existing customers.