3 Powerful Ecommerce Personalization Examples That Boost Conversions

Rocksbox is a jewelry subscription service that offers members carefully curated pieces of luxury jewelry.

The goal of Rocksbox is to create an intimate and engaging shopping experience. Its data-driven approach allows the company to deliver highly personalized experiences to its customers.

How Rocksbox collect data

The journey of a Rocksbox customer begins when the customer completes a personalized Style Survey. The Style Survey is used to segment customers into groups with similar tastes, allowing customers to find beautiful jewelry that would match their unique style.

Example of questions: select preferred product type

Example of questoins: select current trends you are interested in

Once a new subscriber has taken the survey and purchased a subscription, she is encouraged to create a wish list. She can favorite pieces, add them to wish list, and leave direct feedback on previous boxes they've received.

Personalization through multiple channels

Based on various data collected from Style Survey, wish list, and feedback, each member is offered a highly personalized experience through the website, social media, email, and offline channels.

It is a beautiful personalization process. Upon signing up, customers then begin the process of sharing their style information with their stylist.

The process continues as they keep their profile up to date with their favorite brands and products, receive personalized recommendations from their stylist, and allow Rocksbox to send them boxes based on the styles they love.

Aveda is a leading brand of high-performance, plant-based hair and skin care products, with a significant online presence.

To create an excellent personalized shopping experience for customers, Aveda has created a series of interactive quizzes, such as their Hair & Scalp Check.

The quiz encourages users to answer questions about what they want their hair to look like, how they want the hair to feel, and what results they're looking for.

Example question: current hair types of user.

Example question: dream hair style of user

Aveda then match those answers with millions of different possible combinations and create best personalized recommendations.

A quiz is a fun and interactive way to personalize your website and communicate your brand message.

It's a great way to get customers to interact with your products, services or brand values. By asking users questions about their likes and dislikes, you can learn exactly what they want from you and customize that experience.

Amazon is recognized as a gold standard for personalized recommendations.

Amazon builds data profiles of its customers based on search queries, past purchases, and browsing behavior. The data profiles enable the company to communicate with customers directly using personalized emails, tailored product recommendations, and a more effective website experience.

Amazon's product recommendations are so effective that it drives around 35% of its sales.

This company is constantly pushing the boundaries of technology and advancing the art of e-commerce. There are many advancements, such as artificial intelligence, machine learning, and predictive analytics that have been used to customize your shopping experience.

Amazon's machine learning algorithms are trained using behavioral data obtained through millions of interactions with customers. The result? Predictive recommendations that are specific to every individual user, delivering unprecedented customer experience for online retailers.