Return fraud in the retail and hospitality sector is a massive problem for retailers, equating to around 33.9 billion U.S. dollars worth of merchandise in North America, and 93 billion U.S. dollars worldwide.

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 ** percent of responding online retailers stated to have a return rate of under **** percent.

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 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).

Regardless of age, most U.S. consumers found in-store returns easier than online ones in 2022. While millennials (adults between 27 and 42) had the most positive experience with online returns, followed by Gen Z (ages 18 to 26), three-quarters of baby boomers (ages 59+) preferred to return their purchases in-store.

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

United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Specialty Retailers Index data was reported at 8,264.210 NA in Apr 2025. This records an increase from the previous number of 8,245.880 NA for Mar 2025. United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Specialty Retailers Index data is updated monthly, averaging 2,961.225 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 8,611.030 NA in Jan 2025 and a record low of 1,034.020 NA in Jan 2012. United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Specialty Retailers 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: Total Return: Monthly.

Envestnet®| Yodlee®'s Consumer Transaction Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Deluxe is an online retailer based in UK that deals in a wide range of products in the following categories: 1. Clothing 2. Games 3. Appliances 4. Electronics 5. Books 6. Beauty products 7. Smartphones 8. Outdoors products 9. Accessories 10. Other Basic household products are classified as 'Other' in the category column since they have small value to the business.

Data Description: dates: sale date order_value_EUR : sale price in EUR cost: cost of goods sold in EUR category: item category country: customers' country at the time of purchase customer_name: name of customer device_type: The gadget used by customer to access our online store(PC, mobile, tablet) sales_manager: name of the sales manager for each sale sales_representative: name of the sales rep for each sale order_id: unique identifier of an order

The data was recorded for the period 1/2/2019 and 12/30/2020 with an aim to generate business insights to guide business direction. We would like to see what interesting insights the Kaggle community members can produce from this data.

E-commerce sales and total sales for retail trade in Canada, available on an annual basis.

A listing of all retail food stores which are licensed by the Department of Agriculture and Markets.

Retail sellers must apply online annually through the Department of Inspections, Appeals, and Licensing for a license to sell consumer fireworks in Iowa. This report returns information on licensed consumer fireworks retail sellers for the most current selling season, and a list of retail sellers for all seasons.

China Retail Sales of Consumer Goods: MoM: SA data was reported at 0.580 % in Mar 2025. This records a decrease from the previous number of 0.620 % for Feb 2025. China Retail Sales of Consumer Goods: MoM: SA data is updated monthly, averaging 0.810 % from Feb 2011 (Median) to Mar 2025, with 170 observations. The data reached an all-time high of 4.980 % in May 2020 and a record low of -10.770 % in Jan 2020. China Retail Sales of Consumer Goods: MoM: SA data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Retail Sales of Consumer Goods: National Statistical Bureau.

China Retail Sales of Consumer Goods: ow: excl Automobile data was reported at 2,384.100 RMB bn in Mar 2020. This records a decrease from the previous number of 3,434.900 RMB bn for Dec 2019. China Retail Sales of Consumer Goods: ow: excl Automobile data is updated monthly, averaging 3,109.700 RMB bn from Jul 2019 (Median) to Mar 2020, with 7 observations. The data reached an all-time high of 3,487.600 RMB bn in Oct 2019 and a record low of 2,384.100 RMB bn in Mar 2020. China Retail Sales of Consumer Goods: ow: excl Automobile data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Retail Sales of Consumer Goods: National Statistical Bureau.

Retail Sales in Slovakia decreased 1.80 percent in May of 2025 over the same month in the previous year. This dataset provides - Slovakia Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

The FCA provides a latest analysis of the intermediary sector based on data drawn from the Retail Mediation Activities Return (RMAR) for 2020. Firms that provide advice on, or arrange, mortgages, insurance policies or retail investment products for consumers must send the FCA information about their activities on the RMAR. The FCA uses this information to help it supervise the activities of these intermediary firms and inform its other regulatory functions. It has published data from the RMAR since 2016. This analysis gives an update on firms in the retail intermediary sector based on data for 2020. The data reflects returns submitted to us by firms for periods ending within 2020. Firms have different reporting cycles, so the extent to which their data covers the coronavirus (COVID-19) affected period from March 2020 will vary from firm to firm.

Retail Sales - Table 620-67001 : Total Retail Sales

Discover the latest eCommerce statistics in Cameroon for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Cameroon, uncovering the distribution of stores across categories and platforms.

According to a 2024 survey, ** percent of e-commerce and finance professionals in the United States started to charge for returns because of the increase in the operational cost of processing them. Increases in carrier shipping costs (** percent) and the increased tolerance of shoppers to pay for return fees (** percent) were other popular motivators to start charging for returns.