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. 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 singapore phone number data 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 the key to technology innovation 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.
The selection of products to be presented to the customer is usually handled by a product recommendation engine that, based on the input data, is responsible for choosing the most appropriate products to display. Product recommendations should be considered the core business of all companies that want to offer their customers a personalized shopping experience.
We know that personalizing bf leads 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 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 engagement
Showing customers the right products at the right time increases engagement . 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 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.
4. Encourage loyalty
Customers like to feel “understood.” Personalized recommendations create a connection with the brand and encourage repeat purchases, which drives loyalty and positive word-of-mouth.
5. Optimize inventory
Smart recommendations can also help optimize inventory management by highlighting the most in-demand products, helping you make more informed decisions about what to stock.
Best Product Recommendation Tactics
There are several referral strategies you can implement to improve the effectiveness of your eCommerce business. Each tactic has the pote revenue and improve customer experience. Here are the most effective ones.
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