Back to Glossary

Basket Building

What Is Basket Building?

In the world of eCommerce, basket building represents a strategic methodology aimed at optimizing the contents of virtual shopping carts.

The primary objective here is to amplify the value of each customer’s purchase by carefully scrutinizing their behavioral patterns, preferences, and purchase history. The endgame is to propose supplementary products or complementary items, ultimately enriching the overall shopping experience while simultaneously fortifying the revenue streams of online retailers.

The Significance of Basket Building in eCommerce

Basket building transcends being just a practice; it stands as a pivotal component in the eCommerce domain, directly influencing a retailer’s financial performance. Encouraging customers to expand their shopping carts can lead to an upswing in the average order values, consequently translating into augmented revenue and amplified profitability for businesses. Furthermore, the adept execution of basket building fosters a shopping experience that is both personalized and convenient, thereby nurturing enhanced customer loyalty and the potential for recurring business.

Determining the Average Basket Value

The process of ascertaining the average basket value is relatively straightforward. It entails aggregating the total revenue generated from all customer orders within a specified timeframe, say a month. Subsequently, this sum is divided by the total number of orders recorded during that specific period. The resultant figure serves as an accurate representation of the average basket value for the chosen timeframe.

Best Practices for Effective Basket Building

Harnessing Customer Data Analysis: Capitalizing on customer data and insights emerges as a cornerstone. Understanding purchasing behaviors and preferences aids in offering product recommendations aligned with each customer’s unique needs and desires.

Deployment of Product Recommendations: The strategic implementation of advanced product recommendation algorithms assumes a pivotal role in basket building. These algorithms meticulously assess the contents of shopping carts, proffering suggestions for complementary or related items. These real-time recommendations markedly heighten the likelihood of customers augmenting their cart contents, leading to an upsurge in order values.

FAQ on Basket Building

What defines basket size in eCommerce?

Basket size in eCommerce pertains to the cumulative value or the total count of items nestled within a customer’s virtual shopping cart at the juncture of checkout. This metric assumes a critical role in deciphering purchasing trends and the composition of customer orders.

How does Artificial Intelligence (AI) contribute to basket building?

AI’s role in basket building is pivotal. By delving into extensive datasets, AI possesses the capability to accurately predict customer preferences and behaviors. Subsequently, AI utilizes this wealth of information to provide real-time product recommendations, significantly amplifying the likelihood of customers appending more items to their shopping carts and, in turn, escalating their order values.

You May Find It Interesting

Gepard PIM August Product Updates
4 min read
Gepard Updates

Gepard PIM Product Updates August 2025: Smarter Pipelines, AI Shopping Agents & More

Discover Gepard PIM’s August updates: AI shopping agent, smarter pipelines, Amazon category mapping, compliance tools, and faster testing.

Read more
Product Data Syndication

Product Content Syndication: Tools, Services & Strategy for Multichannel Growth

Define product content syndication and aggregation. How retailers and brands can benefit from syndication and distribution of product content.

Read more
Gepard PIM AI Mapping Feature
< 1 min read
Gepard Updates

From Data Chaos to Global Harmony: Meet Gepard’s AI Mapping Agent

Gepard’s AI Mapping Agent does both jobs: Builds taxonomies and data models. Maps them across suppliers, systems, sales channels.

Read more
Product Taxonomy Definition_ Mapping, Creation & Best Practices

Product Taxonomy Definition: Mapping, Creation & Best Practices

Find out what is product taxonomy, learn about its best practices and why it’s important for eCommerce business.

Read more
How Data Validation Transforms eCommerce Businesses

How Data Validation Transforms eCommerce Businesses

Read about the impact of data validation on eCommerce companies. Learn how to validate data to generate revenue and get a deeper understanding of your customers.

Read more
Gepard PIM AI Mapping Feature

Product Data Mapping: Framework, Automation & Best Practices

Discover what is product data mapping and how Gepard helps automate it. Learn frameworks, tools, and AI-powered solutions for eCommerce success.

Read more
How to Cut EU Chemical Regulations Compliance Time by 90%

How to Cut EU Chemical Regulations Compliance Time by 90%

Automate REACH, CLP & SCIP compliance with Gepard ECHA Connector. Cut risk, reduce manual work & ensure EU chemical regulation readiness.

Read more
Gepard PIM Product Updates July
3 min read
Gepard Updates

Gepard PIM Product Updates July 2025: Product URL Scraping and More

Our Gepard PIM summer release emerges from a structured development cycle underpinned by thorough technical reviews and measured iteration.

Read more
NEW EPREL CATEGORIES: HOW BRANDS DEAL WITH IT

The EPREL “Gotchas” we’re Already Seeing (and How Teams are Fixing Them)

Learn how brands adapt to the NEW EPREL categories: smartphones/tablets labels, PIM workflows, QR links, audits, fines.

Read more
Gepard Deepens Partnership with Fucida
2 min read
Gepard Updates

Gepard Deepens Partnership with Fucida

The extension equips Fucida with a single, cloud-native backbone for listing, validating, and enriching thousands of SKUs on every present and future Amazon storefront.

Read more

Let’s Get In Touch

Need to contact us? Just use this form

Gepard Privacy Policy
Success