Understanding the Ecommerce NAICS Code 454110

Understanding the Ecommerce NAICS Code 454110

Discover how ecommerce NAICS code 454110 helps businesses classify and optimize strategies, utilizing personalized experiences in the e-commerce industry.

Sakshi Gupta
Nov 5, 2025

The industry classification system is essential for identifying key business activities, tax regulations, and performance benchmarks. One such critical classification is the eCommerce NAICS code 454110, which specifically pertains to online shopping. This code plays a critical role for growth marketers, e-commerce specialists, and UX designers who are focused on improving conversion rates and refining the customer journey.

By recognizing which businesses fall under this category, companies can better align their strategies with industry standards, increase AOV, and create long-term customer retention.

This article explores the eCommerce NAICS code 454110, its implications for e-commerce businesses, the types of companies using it, and how understanding this classification can help you utilize personalized experiences to increase conversions.

Key Takeaways

What is NAICS Code 454110?

The North American Industry Classification System (NAICS) is a standardized system used to classify and categorize businesses based on their economic activities. Developed by the U.S., Canada, and Mexico, NAICS helps in organizing industry data for statistical purposes, economic analysis, and business research. It allows businesses to track economic activity and set policies effectively.

NAICS Code 454110 refers to the classification for electronic shopping and mail-order houses. It includes companies primarily engaged in selling goods via electronic platforms, including websites and mobile apps. These businesses may not operate physical storefronts, focusing instead on creating robust online platforms to handle transactions, whether via e-commerce websites, catalogs, or television shopping channels.

Growth marketers and UX specialists targeting e-commerce brands must understand this code, as it encompasses a broad range of online sales operations.

Understanding the NAICS code 454110 is only the beginning. To truly improve your ecommerce site, Nudge’s AI Product Recommendations ensure that every shopper sees the most relevant products based on real-time data and shopping behavior.

Why Do Ecommerce Companies Need These NAICS Codes?

Understanding your NAICS code allows e-commerce brands to target marketing campaigns effectively, benchmark conversion rates, and optimize strategies for higher customer engagement. For growth teams, using the correct NAICS code enables better alignment with industry standards and improved performance tracking.

The following benefits outline why the NAICS code 454110 is crucial for businesses operating in the e-commerce space:

  1. Tax and Reporting: This code helps businesses comply with tax requirements, enabling them to report their income and expenses accurately.
  2. Industry Analysis and Benchmarking: It allows companies to compare their performance against industry standards in terms of conversion rates, AOV, and customer retention.
  3. Market Positioning: For high-growth e-commerce brands, understanding their industry classification helps align their marketing strategies with market trends, increasing retention and acquisition efforts.
  4. Regulatory Compliance: Businesses with this code adhere to industry-specific regulations regarding sales and data privacy, ensuring they avoid legal pitfalls while scaling.

6 Types of Businesses under NAICS Code 454110

NAICS code 454110 encompasses various types of e-commerce businesses operating in diverse sectors. Understanding the different types of companies under this code helps e-commerce marketers identify and categorize businesses to optimize their strategies.

Here are the most common types of e-commerce businesses under NAICS code 454110:

  1. Catalog offices: These businesses are involved in selling products via catalogs and accepting orders through web-based channels. Marketers can utilize catalog data and customer preferences to increase conversion rates and AOV.
  2. Collectors' items: These companies specialize in selling rare or collectible items like art, antiques, or memorabilia through mail-order systems or online stores. Personalization based on product affinity can drive better customer engagement and repeat sales for this niche market.
  3. Computer software: Businesses under this category sell software products or digital downloads. AI product recommendations based on purchase history or previous downloads can help increase conversion rates for software providers.
  4. Home shopping television orders: Companies like QVC rely on television and online platforms to drive sales. Personalized shopping experiences on the website, integrated with TV promotions, help enhance conversion rates by engaging customers across multiple touchpoints.
  5. Internet auction sites: These businesses facilitate online auctions, where users bid on products in real time. Real-time recommendations based on auction history and buyer behavior help increase conversion rates and customer satisfaction.
  6. Web retailers: This category includes online-only stores selling a wide range of products. Personalized product recommendations on the homepage, PDPs, and checkout pages can increase AOV and customer retention.

10 Companies Operating Under E-Commerce NAICS Code 454110

Several e-commerce giants and successful brands under the NAICS code 454110 enhance their conversion rates, AOV, and customer retention by utilizing personalized shopping experiences. Here are examples of notable companies that operate under NAICS code 454110:

1. Amazon

Amazon is a global leader in e-commerce, known for offering a wide range of products from books to electronics. Amazon uses AI-powered product recommendations based on browsing history and purchase behavior. This personalization improves conversion rates by presenting shoppers with relevant, timely suggestions, leading to higher AOV and customer retention.

2. eBay

eBay is an online marketplace that facilitates auctions and direct sales for various products. eBay uses real-time bidding data to recommend similar products during the shopping experience. For growth marketers, this strategy keeps customers engaged and increases bidding activity, ultimately improving conversion rates and driving higher engagement.

3. QVC

QVC combines home shopping television with online retail, offering a hybrid shopping experience. Combining home shopping television with e-commerce, QVC offers personalized product recommendations based on TV promotions and online shopping behavior. For UX specialists, QVC's integrated approach enhances the customer journey, improving engagement and driving conversion rates across multiple platforms.

4. Macy’s

Macy’s is a well-known department store that transitioned its retail operations online. On their website, Macy’s offers dynamic product recommendations across PDPs and cart pages to suggest complementary items. This personalized approach increases engagement and improves conversion rates, driving more sales and encouraging repeat purchases.

5. Bass Pro

Bass Pro is a retailer of outdoor recreational products, including fishing, hunting, and camping gear. Bass Pro personalizes product recommendations on category pages based on customer interests. By suggesting items related to past purchases and browsing activity, they enhance engagement, which leads to higher conversion rates and increased AOV.

6. Wayfair

Wayfair is a leading online retailer of home goods and furniture. They employ AI-powered product suggestions based on customer browsing behavior. By showing relevant products across multiple touchpoints, Wayfair increases conversion rates and customer satisfaction, enhancing engagement and driving repeat sales.

7. Liberty Interactive

Liberty Interactive is a conglomerate focused on e-commerce and direct-to-consumer retail. Liberty Interactive uses real-time shopper behavior and personalization algorithms to suggest products relevant to individual users, enhancing engagement and increasing conversion rates.

8. HSN

HSN integrates television shopping with e-commerce to deliver a unique retail experience. By offering dynamic product recommendations based on TV promotions and website activity, HSN improves conversion rates by providing a consistent, personalized experience across multiple platforms, keeping customers engaged and increasing repeat purchases.

9. Express Scripts

Express Scripts is a leader in prescription benefit management and pharmaceutical services. They use personalized product recommendations based on customer needs and purchase history to enhance the user experience. By adapting recommendations to healthcare-specific needs, Express Scripts improves engagement and conversion rates while increasing customer retention.

10. PC Connection

PC Connection is a retailer specializing in technology products. By using product recommendations suited to IT professionals' needs, PC Connection enhances the relevance of its offerings, improving conversion rates. Personalized suggestions help conversion specialists target the right products and increase sales effectively.

Maximize Your NAICS Code Strategy with Nudge’s Personalization Features

Understanding NAICS code 454110 is vital for growth marketers and e-commerce specialists aiming to optimize conversion rates and customer engagement. This code covers businesses engaged in online shopping and is essential to staying profitable in this space. Nudge equips businesses within this classification with the tools necessary to increase AOV and enhance retention by personalizing the shopping experience:

Conclusion

The ecommerce NAICS code 454110 is more than just a classification; it’s a powerful tool for growth marketers and UX specialists aiming to optimize conversion rates and customer retention. By identifying businesses under this code, companies can develop targeted marketing strategies, implement AI-driven product recommendations, and create personalized shopping experiences that resonate with customers.

Implementing dynamic product recommendations, exit-intent strategies, and funnel personalization will help you achieve higher conversions and AOV.