Many customers look for customized product suggestions while shopping online, which makes personalization an integral part of e-commerce businesses. Reportedly, 62% of the buyers prefer personalized recommendations to general ones. At the same time, 60% of buyers can tell when suggestions are customized. By recommending products, customers may be interested in, you can improve engagement, boost conversions, and establish long-term relationships.
In this guide, we will explore how personalized product recommendations function and how to consider them in your next ecommerce email campaigns to scale your business.
What are Personalized Recommendations?
Personalized recommendations are suggestions generated by a system for an individual user on the basis of unique preferences, behaviours, and previous interactions. They offer customers a more personalized and relevant experience, which makes it easier for them to find their desired product. For example, if someone often buys basketball clothes in an online store, they can be offered recommendations for top-rated basketball shoes.
How Do Personalized Product Recommendation Systems Work?
The majority of product recommendation systems use any of the following systems:
Collaborative Filtering
Collaborative filtering is where recommendation systems recommend products or services to new joiners based on the preferences and shopping behaviours of other customers. For example, if someone searched for a particular mobile phone in your ecommerce store. In that case, the system would suggest related items that buyers have already purchased by others, such as a screen guard.
Amazon is a great example of a brand that applies collaborative filtering that find similar items for customers when they search for a particular product. It acknowledges highly rated and trending products that buyers consider frequently.
Content-based Filtering
This sort of system does not depend on the preferences of other users. Instead, it finds the details of the products and recommends related products on the basis of past history and wishlist. For instance, the recommendation system could utilize data such as product descriptions to understand more about the product and similar products. It then uses such information to recommend complementary products to the buyer.
A prominent example can be seen at Kylie Cosmetics. This beauty brand has a ‘You may also like’ page where the related or complementary products are recommended. This helps the buyers quickly find the products they need.
Hybrid Filtering
In hybrid filtering, the system integrates both collaborative and content-based filtering, which makes it quite accurate. In turn, the customers are able to receive better recommendations, which influence them to make a purchase.
Some of the products recommended by the system are based on the past purchases of the users. A great example of a brand that leverages this model is Netflix. The recommendation system recommends what the subscribers can watch next.
Key Advantages of Personalized Product Recommendations
Personalizing the product recommendations to fit the needs of the buyers has several benefits.
Higher Sales and Revenue
Presently, customers want to interact with the brand personally to be understood and values. Personalized product recommendations in ecommerce email campaigns can be the best practice to achieve this. Recommending the relevant products reflects that you value your customers and consider their preferences and interests. This can positively contribute to the overall experience with the brand.
Better Customer Loyalty and Lifetime Value
As buyers purchase recommended products, you get more data that can be used to recommend more personalized products. This develops a flywheel effect that establishes strong, long-term customer relationships.
Cross-selling and Upselling Opportunities
Once a customer purchases a recommended product, you can suggest other similar products in your post-purchase emails. For example, if someone but a set of knives from your ecommerce store, you can recommend a seasoning set as a complementary item.
Lower Cart Abandonment Rates
Cart abandonment is a concerning matter for several retailers, as it results in loss of sales. Personalized product recommendations can potentially address this concern. When buyers have more personalized recommendations, they are more likely to choose those items that resonate with them. This, in turn, reduces the chances of abandonment of their shopping carts.
The personalized recommendations can filter out the options to the most relevant. This allows the customers to find their desired products quickly and reduces the chance of leaving the carts abandoned.
How to Adopt Personalized Recommendations in Email Campaigns?
Let’s delve into the possible ways to implement personalized recommendations in ecommerce email campaigns that can drive engagement and sales.
Use Email Marketing Tools
Since the majority of businesses are spending on AI to personalize their customer experiences, using email marketing tools for personalization can definitely help. AI algorithms evaluate a large volume of customer data, including search queries and browsing history, to know the interests of the shoppers. This helps in suggesting products that are personalized to the customers’ interests and preferences. To know about the best email tools, you can read here.
Target Audience Segmentation
By segmenting your customers, you can offer more relevant product recommendations which suit the buyer’s needs. For this, you must carry out research on the shopping patterns and preferences of the customers. Next is to create customer personas, which define the general target segment. After creating the persona, you should segment the customers based on their behaviour.
Customer Data Usage Transparency
Buyers are becoming more aware of how their data is being used for marketing purposes. Hence, they want more control over this. Since customers are skeptical about how their data is being used, it is best to develop a proper privacy policy. The policy must highlight everything about the data usage.
Add Value in Product Recommendation Emails
It is not sufficient to send an email which suggests some products to the customers, but you need to deliver information that can make them understand why to buy them. This can be merged with reviews, ratings or testimonials to reveal what value the suggested product adds to the customers.
Summary
As we have seen how ecommerce email campaigns can be more effective with customized product recommendations, you should focus on the right target market and right recommendation system. The use of this strategy can help you differentiate yourself from the rivals and expand your business.
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