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Related Products

Related Products are suggestions or recommendations displayed on e-commerce platforms that are often similar or complementary to the product a user is currently viewing.
Category:
Also known as:Product Recommendations, Suggested Products, Cross-Selling Products, Related Items

Definition

Related Products are items recommended to users based on their browsing and purchasing behavior. This feature enhances the shopping experience by guiding customers toward additional options that may interest them, thereby increasing the likelihood of additional sales.

In UX design, Related Products serve to improve user engagement and satisfaction by presenting relevant items that align with user preferences. Implementing this feature requires understanding user behavior, product relationships, and effective design strategies to ensure the recommendations are visible and enticing.

These recommendations can be algorithmically generated based on various factors, including purchase history, item popularity, and user preferences. By effectively utilizing related products, e-commerce platforms can create a more personalized shopping experience, potentially leading to higher conversion rates.

Expanded Definition

The concept of Related Products has evolved with the rise of e-commerce, particularly as online shopping has become more personalized. In the past, recommendations were primarily based on simple algorithms, but advancements in machine learning and data analytics have allowed for more sophisticated models that analyze vast amounts of user data to predict preferences.

Understanding Related Products also involves recognizing the importance of presenting these items in a visually appealing manner. The layout, design, and placement on the page can significantly influence user behavior. Proper integration into the user interface is essential to maximize the effectiveness of this feature.

Key Activities

Analyzing user behavior and preferences to tailor related product suggestions.

Designing visually appealing layouts for displaying related products.

Testing variations of related product displays to determine which performs best.

Utilizing analytics tools to track the performance of related products.

Continuously updating the algorithms based on the latest user data.

Benefits

Increased average order value by encouraging users to purchase additional items.

Enhanced user experience through personalized shopping recommendations.

Improved customer retention by fostering a feeling of personalized service.

Higher conversion rates due to effective cross-selling strategies.

Better insights into user preferences and trends through data collection.

Example

An e-commerce site selling electronics might display related products when a user views a laptop. For instance, alongside the laptop, the site could recommend accessories such as a laptop bag, external hard drive, or a mouse. This not only helps users find useful items but also increases the site's sales opportunities.

Use Cases

Suggesting complementary products, like phone cases when a smartphone is viewed.

Displaying similar items to encourage users to explore different brands or models.

Highlighting best-selling or trending items alongside the current product.

Recommending products based on seasonal trends or promotions.

Creating bundles of related products at discounted prices to boost sales.

Challenges & Limitations

Overwhelming users with too many suggestions can lead to decision fatigue.

Inaccurate recommendations can frustrate users and diminish trust in the platform.

Maintaining the relevance of recommendations requires continuous data analysis and updates.

Technical challenges in implementing effective recommendation algorithms.

Tools & Methods

Machine learning algorithms for predictive analytics.

User behavior analysis tools like Google Analytics.

A/B testing software to evaluate different related product displays.

Content management systems (CMS) for easy updates to product suggestions.

Heat mapping tools to understand user interaction with related products.

How to Cite "Related Products" - APA, MLA, and Chicago Citation Formats

UX Glossary. (2025, February 12, 2026). Related Products. UX Glossary. https://www.uxglossary.com/glossary/related-products

Note: Access date is automatically set to today. Update if needed when using the citation.