Imagine being able to increase your e-commerce revenue, improve your users’ customer experience, and encourage repeat purchases without having to radically change your strategy. E-Commerce Performance The key to achieving these goals could be summed up in a single gesture: product recommendations.
An effective product recommendation strategy is one of the most powerful solutions available to eCommerce. By offering personalized recommendations to customers, you can increase your online store conversions while improving customer loyalty and retention.
In the following paragraphs, we will look at best practices for creating a winning referral strategy, with practical examples that will help you increase conversions and revenue, and most importantly, how to implement them with Blendee.
What is a product recommendation?
Product recommendations are, as the word suggests, shopping recommendations in which products are dynamically populated for each user browsing a web page, app or email, based on data about their shopping behavior or the occurrence of particular events, thus providing a personalized shopping experience.
We know that personalizing the user’s shopping experience is fundamental in the world of e-commerce: suffice it to say that, according to a study by Accenture, 91% of consumers are more likely to buy products from recognized and remembered brands that offer relevant product recommendations.
But what are the product categories usually recommended?
Among the main products we find:
- recently viewed products.
- best selling products;
- similar products;
- trending products;
- frequently purchased products;
Why are product recommendations essential for e-commerce?
The use of dynamic product recommendations becomes essential not only to make users aware of the products in the catalog, but also E-Commerce henan mobile number database Performance to show them at the most opportune moment. In addition, being an indispensable element of any personalization strategy, they constitute a real lever to improve the customer experience and increase the value of sales.
Here is how recommendations can make a difference:
1. Improve customer experience
Personalized recommendations make it easier for customers to discover new products by improving navigation. If a customer can easily find what they’re looking for or feels supported in their shopping journey, they’re much more likely to complete their purchase and/or return in the future.
2. Increase
Showing customers the right products at the allon kwamfutar tafi-da-gidanka Samun damar right time increase . By analyzing data such as past searches and purchase behavior, you can suggest items that meet customer preferences, improving the likelihood of conversion.
3. Increase conversion rates
Knowing exactly what to show each customer argentina numbers increases the likelihood that they will make a purchase. Targeted recommendations directly increase conversions by showing only the products that are most likely to interest each user.
