• Protiendas
• 28th April, 2026

How to Implement Recommendations Based on Recently Viewed Products

Introduction

Personalization is key in e-commerce. Implementing recommendations based on recently viewed products can enhance user experience and increase conversions. In this article, we will explore best practices for doing so.

Why Are Recommendations Important?

Personalized recommendations can make customers feel valued and understood. This can result in increased time spent on your site and higher sales.

Necessary Tools

To implement effective recommendations, you will need tools such as Data Management Platforms (DMP) and recommendation algorithms. These will help you analyze user behavior.

How to Collect Data

It is crucial to collect data on what users are viewing. You can do this through cookies and session tracking.

Implementation Strategies

1. **Real-time recommendations**: show related products while the user is browsing.
2. **Personalized emails**: send emails with products the user has viewed.
3. **Wish lists**: allow users to save products and receive related recommendations.

Conclusion

Implementing recommendations based on recently viewed products not only enhances customer experience but can also increase your revenue. Start personalizing today!