Announcing PhotonIQ: The New AI CDN For Accelerating Apps, APIs, Websites and Services
Log inTalk to an expert

What is Discovery-Based Shopping?

In the world of eCommerce, discovery-based shopping is becoming an increasingly popular way for consumers to find and purchase products. Unlike traditional shopping, which relies on search-based queries, discovery-based shopping uses algorithms to suggest products based on the user's behavior and preferences. With real-time analytics, retailers can analyze user behavior and make recommendations in real-time, increasing the chances of a successful sale.

Here's how discovery-based shopping works:

  • User behavior is tracked through cookies, browsing history, and other data sources.
  • Algorithms analyze this data to identify patterns and make recommendations based on the user's preferences and interests.
  • Users are presented with products that match their interests and preferences, even if they didn't specifically search for them.

The benefits of discovery-based shopping are clear. It allows consumers to find products they might not have otherwise discovered, and it enables retailers to make personalized recommendations that are tailored to each individual user's behavior and preferences.


In conclusion, discovery-based shopping is a powerful tool for eCommerce retailers looking to deliver personalized recommendations to their customers. By leveraging the power of data analytics and machine learning, eCommerce companies can improve the customer experience and increase sales.

Learn more about how Macrometa's eCommerce and retail solutions can transform the customer journey and boost profits, or chat with a solutions expert.

Related reading:

Ecommerce and Retail Technology

Understanding the eCommerce Customer Journey

360 Customer Data: Understanding Your Customers Like Never Before

What is an eCommerce Hub?

What is Price Optimization

​​What are Recommendation Engines?