eCommerce Personalization Guide + 22 Examples


Are you tired of sifting through countless products online, hoping to find that perfect item tailored just for you? Well, you’re not alone.

The world of eCommerce has recognized the need for a more personalized shopping experience, and that’s where eCommerce personalization comes into play. 

In fact, a study by Epsilon found that 80% of consumers are more likely to make a purchase when brands offer personalized experiences.

In this article, we’ll explore what eCommerce personalization is and how it enhances the customer journey. 

We’ll provide real-life examples of how leading eCommerce websites are implementing personalization to deliver customized shopping experiences. 

Additionally, we’ll delve into the benefits of eCommerce personalization, such as increased customer engagement, higher conversion rates, and improved customer loyalty.

So, whether it’s product recommendations based on your browsing history, tailored marketing messages, or AI-powered search results, eCommerce personalization is transforming the way we shop online. 

Let’s dive in!

What is eCommerce Personalization?


eCommerce personalization is the process of tailoring the shopping experience to individual customers based on their behaviors, preferences, and previous interactions with the website.

Imagine that you’re browsing an online store, and instead of seeing a generic homepage with a random assortment of products, you’re greeted with a curated selection of items that match your preferences perfectly. 

That’s eCommerce personalization in action. 

One great real-life example of eCommerce personalization is Amazon. 


When you visit their website, you’re greeted with a personalized homepage that showcases products related to your previous purchases or browsing history. 

They even go a step further by recommending items based on your interests, making it easier for you to discover new products that align with your tastes.

22 eCommerce Personalization Examples

When it comes to personalized eCommerce, it isn’t just about AI features or recommendations. In fact, there are many different ways that you can personalize your customers’ shopping experience. Now that you have a general understanding, let’s explore 22 eCommerce personalization examples in action! 

1. Personalized Landing Pages or Homepage


When a customer visits your eCommerce website, you can personalize their landing page or homepage based on their past interactions, purchase history, or preferences. 

By displaying relevant products or categories upfront, you can create a more tailored and engaging browsing experience. 

For instance, a customer who frequently purchases sports equipment may see a homepage featuring the latest sports gear and promotions. 

2. Product Recommendations


Product recommendations involve displaying personalized suggestions based on the user’s browsing and purchase history. 

By analyzing the products a customer has viewed or bought in the past, you can offer tailored suggestions that align with their preferences and interests. 

For example, imagine a customer browsing an online clothing store. Based on their previous purchases of casual t-shirts and jeans, the website recommends a stylish jacket that complements their fashion preferences. 

This helps customers discover new products they might be interested in and increases the likelihood of making a purchase. 

3. First-Time Promotion


Providing a special sales promotion or discount to first-time visitors is a great way to personalize their experience and encourage them to make a purchase. 

By displaying a pop-up or banner with a unique promo code or exclusive offer, you can create a sense of urgency and make first-time visitors feel valued. 

For example, imagine a customer lands on an online beauty store for the first time.

As they browse the website, a pop-up appears offering them a 10% discount on their first purchase if they sign up for the newsletter.

This personalized offer incentivizes the customer to take action and become a loyal customer. 

4. Top Products


Showcasing top products serves as a form of social proof for your offerings. By featuring a section on your website that highlights the most popular or best-selling products, you create a sense of trust and credibility. 

This can influence customer behavior by encouraging them to consider products that others have found valuable and enjoyed. 

For instance, when visiting an online electronics store, a customer notices a section labeled “Best Sellers” displaying highly-rated headphones. 

This feature helps them quickly identify the most popular and well-regarded products. 

5. Personalized Push Notifications


Leveraging push notifications with personalized content based on customer behavior and preferences can re-engage customers and drive them back to your eCommerce site. 

For example, a customer who frequently purchases sports equipment might receive a push notification about a flash sale on athletic gear, enticing them to revisit the website and make a purchase. 

This personalized approach helps maintain a consistent presence in the customer’s mind and drives repeat visits and conversions.

6. Targeted Promotional Banners


Searchandising involves tailoring marketing messages and ads to specific customer segments based on their search queries. 

When a customer performs a search on your website, you can display targeted promotional banners that align with their search terms. 

This ecommerce personalization technique helps to capture their attention and direct them towards relevant products or offers. 

For example, let’s say a customer searches for “summer dresses” on an online fashion retailer’s website. As they navigate through the site, they notice targeted banners promoting summer dress sales or discounts on related accessories. 

These banners enhance the customer’s shopping experience by providing them with enticing offers and encouraging them to make a purchase. 

7. Win-Back Emails


To re-engage customers who haven’t visited your website or made a purchase in a while, offering a special deal can be highly effective. 

By analyzing their previous interactions and purchase history, you can send personalized offers or discounts via email or targeted ads to entice them to return and make a purchase. 

For instance, a customer who hasn’t visited an online home decor store in several months might receive a reengagement email with a special discount code, welcoming them back and encouraging them to explore new products. 

This personalized approach helps to regain the customer’s attention and drive them back to your eCommerce site. 

8. Smart Filtering Suggestions


Guided search provides smart filtering suggestions powered by AI during the search process.

As customers type in their search query, the system can offer relevant filter options to help them narrow down their search results. 

This eCommerce personalization technique simplifies the shopping experience by saving time and effort, ensuring customers find the products they’re looking for more efficiently. 

For instance, while searching for a smartphone on an online tech store, the search bar offers intelligent suggestions for filtering options such as brand, price range, and features, enabling the customer to narrow down their search more effectively. 

9. Product Recommendation Emails


Email marketing is a powerful tool for personalization in eCommerce. By segmenting your customer base and sending targeted emails with relevant product suggestions and exclusive deals, you can create personalized experiences that drive engagement and conversions. 

For example, a customer who recently purchased running shoes from an online sports store might receive an email with personalized recommendations for running accessories or upcoming sales on fitness apparel. 

This targeted approach makes customers feel understood and valued, increasing the chances of repeat purchases. 

10. Search Bar Suggestions


Recommended searches involve offering autosuggest search results and autocomplete functionality to assist customers in finding the right products. 

As customers start typing their search query, the system can provide suggestions based on popular or related search terms. This helps refine their search and offers alternative options they may not have considered initially. 

For example, as a customer starts typing “laptop” in the search bar of an online electronics store, the website provides auto-generated suggestions such as “laptop for gaming,” “lightweight laptop,” or “laptop under $1000,” helping the customer refine their search and find more specific options. 

11. Customized Loyalty Programs


Personalizing loyalty programs based on a customer’s preferences, purchase frequency, and spending behavior can boost customer retention and encourage repeat purchases. 

Offering exclusive rewards, discounts, or special perks tailored to each customer’s preferences and loyalty level can make them feel valued and more likely to continue shopping with your eCommerce store.

12. Personalized AI Search Results


Personalized AI search results involve delivering search results that are tailored to each online customer based on their behavior and preferences. 

By analyzing a customer’s previous interactions, purchase history, and browsing patterns, you can present them with search results that prioritize products most relevant to their interests. 

For instance, a customer searching for “digital cameras” on an online photography store receives search results that prioritize mirrorless cameras based on their previous interactions and purchases, tailoring the search outcome to their specific interests. 

13. Geo-Located Search Personalization


Geo-located search personalization involves displaying products and offers that are relevant to the user’s location to optimize search results. 

By recognizing a customer’s location, you can customize search results to showcase products that are available or popular in their specific region. 

For example, a customer in New York searches for “winter coats” on a clothing retailer’s website. The search results are customized to display coats suitable for cold weather conditions, prioritizing warm and insulated options. 

14. Product Bundling


Product bundling involves suggesting items that are frequently purchased together. By analyzing past customer behavior and purchase patterns, you can recommend additional products that complement the item being viewed. 

This ecommerce personalization technique simplifies the shopping experience by presenting customers with bundled options and saving them time and effort in searching for complementary products. 

For example, when a customer adds a gaming console to their cart on an online electronics store, the website suggests additional controllers, games, and charging accessories as a bundle, providing customers with convenience and encouraging them to make a comprehensive purchase. 

15. Abandoned Cart Offers


Lost buyers are customers who have shown interest in your products but haven’t completed their purchase. Personalization can help you re-engage these lost buyers and entice them to come back and complete their transaction. 

By sending targeted abandoned cart emails or notifications with personalized offers, you can remind them about the products they were interested in or provide incentives to encourage them to reconsider their purchase decision. 

For example, a customer adds a pair of shoes to their cart but doesn’t complete the purchase. The retailer can send them an email a few days later with a personalized discount code for those specific shoes, reminding the customer of their interest and providing an extra incentive to make the purchase. 

16. Similar Products


Offering similar products involves providing alternative suggestions based on the item being viewed by a customer. 

By analyzing the characteristics and attributes of the product, you can recommend similar items that align with the customer’s preferences and interests. 

This ecommerce personalization technique broadens the customer’s options and allows them to explore related products. 

For instance, while browsing a fashion retailer’s website, a customer looking at a specific dress is presented with similar dresses in different colors or patterns, enabling them to explore more options and find the perfect style. 

17. Personalized Live Chat and Customer Support


Providing personalized live chat and customer support experiences can improve customer satisfaction. 

By using customer data and purchase history, you can tailor your responses and recommendations to address specific customer needs and inquiries. 

This ecommerce personalization helps create a positive and efficient customer support experience, leading to higher customer satisfaction and loyalty.

18. Search Query History


When a customer uses the search bar on your eCommerce site, the search bar can remember their last search query, making it convenient for them to revisit and modify their search. 

This ecommerce personalization feature saves customers time and effort by eliminating the need to retype their entire search query if they want to make slight modifications or refine their search. 

For instance, if a customer searches for “almonds” and then navigates to a different page, when they return to the search bar, their previous query is automatically populated, allowing them to make adjustments or add additional criteria without starting from scratch. 

19. Personalized Mobile App Experiences


If you have a mobile app for your eCommerce business, personalizing the app experience can enhance engagement. 

By leveraging data such as location, browsing behavior, and previous purchases, you can customize app content, offers, and recommendations. 

For instance, a food delivery app might offer personalized restaurant suggestions based on the customer’s location and cuisine preferences.

20. Synonym Recognition


Synonym recognition is a natural language search personalization technique that enhances the search experience by understanding and interpreting different variations of search terms. 

It allows the search system to recognize synonyms or related terms and provide relevant results, even if the exact search term is not used. 

For example, if a customer searches for “sweatshirt,” the system can recognize that “hoodie” and “jumper” are synonymous terms and display relevant products for those search variations as well. 

This ensures that customers find what they’re looking for, even if they use different terminology. 

21. Personalized Exit Pop-Ups


When a customer is about to leave your website, you can use exit offers to capture their attention and entice them to stay or make a purchase. 

By leveraging personalized exit pop-ups or overlays, you can present customers with compelling offers or incentives tailored to their interests. 

For instance, if a customer is about to abandon their cart on an online fashion store, an exit offer can display a pop-up offering free shipping or a limited-time discount to encourage them to complete their purchase. 

22. Post-Purchase Personalization


Post-purchase personalization involves tailoring the customer experience after a purchase is made. 

This can include sending personalized order confirmation emails, recommending complementary products or accessories, or providing relevant post-purchase content. 

For example, a customer who purchases a smartphone from an online electronics store may receive an email with personalized recommendations for phone cases or screen protectors. 

5 Benefits of Personalization in eCommerce


Now that we’ve seen some examples of eCommerce personalization, let’s delve deeper into the benefits it brings. 

Here are five key advantages that showcase why personalization is crucial for the success of your eCommerce business, backed by examples and statistics:

1. Enhanced Customer Experience

Personalization significantly enhances the overall customer experience by tailoring it to individual preferences. 

According to a study by Epsilon, 80% of consumers are more likely to make a purchase when brands offer personalized experiences. 

2. Increased Customer Engagement

Personalization fosters increased customer engagement, leading to longer browsing sessions and higher interaction rates. 

According to Accenture, 91% of consumers are more likely to shop with brands that provide relevant offers and recommendations. 

3. Improved Conversion Rates

Personalization has a direct impact on conversion rates as it reduces friction in the buying process and guides customers towards relevant products. 

A report by McKinsey states that personalization can deliver five to eight times the ROI on marketing spend and lift sales by 10% or more. 

4. Higher Customer Loyalty

Personalization builds customer loyalty by creating a sense of connection and understanding. 

According to a survey by Segment, 44% of consumers become repeat buyers after receiving a personalized shopping experience. 

5. Boosted Sales and Revenue

Personalization directly impacts sales and revenue by driving increased average order value and customer lifetime value. 

According to a study by Infosys, 74% of customers feel frustrated when website content is not personalized. 

By contrast, brands that implement personalization strategies can witness a substantial boost in revenue. 

For example, Amazon’s recommendation engine drives 35% of its total sales. 

How to Get Started with eCommerce Personalization 

Now that you understand the benefits and have seen some examples of eCommerce personalization, you might be wondering how to get started. 

This is where Doofinder’s advanced eCommerce search solution comes into play. 

Doofinder offers powerful site search features that enable personalized search results, product recommendations, and enhanced user experiences.

So, sign up for your 30-day free trial today to take advantage of the benefits of personalization in eCommerce.

It’s time to embark on a journey to deliver a truly personalized shopping experience for your customers!