Apparel returns around the world valued approximately 48 billion U.S. dollars in 2019. Retailers in the North America region had total retail returns valuing an estimated 363 billion U.S. dollars that year.

As of 2020, around 86 percent of global consumers surveyed responded that they looked for retailers with easy product return policies when deciding where to make purchases. In addition, 81 percent said they would switch to a different retailer if they had a bad experience with returning goods.

More than 70 percent of United States retailers included in the study in 2023, always provided customers with tracking updates about the products they returned, and only 18 percent did not offer this option. 70 percent of retailers offered exchanges of products as an alternative and 58 automatically processed refunds. Nine out of 10 retailers required customers to give a reason for the returns at least sometimes. Customers were susceptible to paying for shipping, restocking, and other charges.

This statistic shows the results of a survey on the annual average rate of product returns in the online retail sector in Germany in 2013. During the survey period it was found that 27 percent of responding online retailers stated to have a return rate of under five percent.

This table contains 3 series, with data for years 2016 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Sales (3 items: Retail trade; Electronic shopping and mail-order houses; Retail E-commerce sales).

Explore the eCommerce statistics by industry and category for the year 2025. This page provides insights into the performance of different eCommerce categories, including store count, estimated sales amounts, products sold, and app spend. Gain a comprehensive understanding of the eCommerce landscape in 2025, with data-driven insights on market dynamics and consumer preferences. Stay informed about industry trends and benchmarks within specific eCommerce categories, empowering businesses to identify growth opportunities and optimize operations. This report is a valuable resource for industry professionals navigating the evolving world of eCommerce.

In 2023, 52 percent of Romanian regular e-shoppers found the returning process effortless, compared to the European average of 55 percent. Out of the 11 percent of e-shoppers who returned their last purchase, over half chose the option of the carrier picking it up at home, while only 15 percent dropped it off at a parcel locker.

This chart provides a detailed overview of the number of online retailers by Monthly Sales. Most stores' Monthly Sales are Less than $100.00, there are 4.99M stores, which is 97.76% of total. In second place, 76.84K stores' Monthly Sales are $10.00M to $100.00M, which is 1.50% of total. Meanwhile, 19.69K stores' Monthly Sales are $100.00K to $1.00M, which is 0.39% of total. This breakdown reveals insights into stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

A special sales event is an event where retail sales are made by more than three sellers at a location other than their normal business location(s) and that occurs no more than three times in any calendar year. The special event sales report summarizes data from form DR 0098 including the number of returns, gross sales, retail sales, and state net taxable sales for each month from January 2016 to date.

United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Products and Services Index data was reported at 3,143.420 NA in Feb 2025. This records a decrease from the previous number of 3,180.880 NA for Jan 2025. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Products and Services Index data is updated monthly, averaging 2,051.810 NA from Dec 2012 (Median) to Feb 2025, with 147 observations. The data reached an all-time high of 3,398.060 NA in Jul 2021 and a record low of 1,161.510 NA in Dec 2012. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Products and Services Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Net Total Return: Monthly.

This chart provides a detailed overview of the number of Toys & Hobbies online retailers by Monthly Product Sold. Most Toys & Hobbies stores' Monthly Product Sold are Less than 100, there are 105.24K stores, which is 69.11% of total. In second place, 35.53K stores' Monthly Product Sold are 100 to 1K, which is 23.33% of total. Meanwhile, 9.29K stores' Monthly Product Sold are 1K to 10K, which is 6.10% of total. This breakdown reveals insights into Toys & Hobbies stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This chart provides a detailed overview of the number of Croatia online retailers by Monthly Product Sold. Most Croatia stores' Monthly Product Sold are Less than 100, there are 6.53K stores, which is 63.83% of total. In second place, 2.6K stores' Monthly Product Sold are 100 to 1K, which is 25.45% of total. Meanwhile, 737 stores' Monthly Product Sold are 1K to 10K, which is 7.21% of total. This breakdown reveals insights into Croatia stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

Backed by our Best Price Guarantee, this solution empowers businesses to thrive in North America’s competitive retail landscape.

Why Choose Success.ai’s Retail Data for North America?

1. Verified Contact Data for Precision Outreach

   • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
   • AI-driven validation ensures 99% accuracy, enabling confident communication and efficient campaign execution.

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   • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
   • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
   • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
• 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
• Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
• Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

Key Features of the Dataset:

1. Retail Decision-Maker Profiles

   • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
   • Target professionals responsible for inventory planning, vendor contracts, and store performance.

2. Advanced Filters for Precision Targeting

   • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
   • Tailor outreach to align with regional market trends, customer demographics, and operational priorities.

3. Market Trends and Operational Insights

   • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
   • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.

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   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
   • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.

2. Market Research and Consumer Insights

   • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
   • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.

3. E-Commerce and Digital Strategy Development

   • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
   • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.

4. Recruitment and Workforce Solutions

   • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
   • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.

2. Seamless Integration
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This chart provides a detailed overview of the number of Iran (Islamic Republic of) online retailers by Monthly Product Sold. Most Iran (Islamic Republic of) stores' Monthly Product Sold are Less than 100, there are 38.11K stores, which is 72.23% of total. In second place, 11.52K stores' Monthly Product Sold are 100 to 1K, which is 21.84% of total. Meanwhile, 2.41K stores' Monthly Product Sold are 1K to 10K, which is 4.56% of total. This breakdown reveals insights into Iran (Islamic Republic of) stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This statistic depicts sales returns worldwide in 2015, broken down by reason for returning and shopping channel. In that year, consumers returned defective products to online shops to the value of 6.3 billion U.S. dollars.

Retail Sales in Vietnam increased 9.40 percent in February of 2025 over the same month in the previous year. This dataset provides - Vietnam Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of consumer goods and general rental (NAICS 5322 & 5323), annual, for five years of data.

This chart provides a detailed overview of the number of Sweden online retailers by Monthly Product Sold. Most Sweden stores' Monthly Product Sold are Less than 100, there are 46.76K stores, which is 72.69% of total. In second place, 12.57K stores' Monthly Product Sold are 100 to 1K, which is 19.54% of total. Meanwhile, 3.36K stores' Monthly Product Sold are 1K to 10K, which is 5.22% of total. This breakdown reveals insights into Sweden stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

Graph and download economic data for Real gross domestic product: Durable goods: Final sales (chain-type quantity index) (A326RA3Q086SBEA) from Q1 1947 to Q4 2024 about final sales, quantity index, chained, durable goods, sales, goods, real, GDP, and USA.