Internet sales in Great Britain by store type, month and year.

Online retail in the United Kingdom has been gaining ground in the past decade. With the onset of the coronavirus (COVID-19) crisis, the value of online retail sales in the United Kingdom is estimated to reach just below *** billion British pounds in 2021. In 2022, the figure decreased to *** billion British pounds. What ranks high in UK e-commerce? In the United Kingdom, clothing and household goods were the most popular retail items consumers purchased through the internet in 2020. Data published by the Office for National Statistics (UK) showed that other leisure activities and services such as booking holiday accommodations, travel arrangements and event tickets were other areas consumers depended on the internet to buy. German e-commerce market The UK might have the highest share of online sales in retail trade, but other European countries such as Germany and France have had impressive track records over the years as well. According to the forecasts provided by German E-commerce and Distance Selling Trade Association (bevh), the market volume of Germany’s e-commerce sector was projected to see over ** billion euros in 2021.

This dataset provides insights into eCommerce shopping preferences and trends among UK adults in 2024. The findings are derived from data collected from a sample of 2,017 UK adults regarding their shopping habits and influencing factors.Furthermore, hundreds of thousands online searches were analysed to collate the most up-to-date statistics.

In March 2025, the share of total retail sales of textile products, clothes, and shoes made online in Great Britain amounted to 28 percent. A peak was reached in February 2021, when online sales reached about 65 percent of total retail sales of textile products, clothes, and shoes in Great Britain.

Descriptions and categories of the Internet Sales Index and their percentage of all retailing for Great Britain.

In 2021, the United Kingdom (UK) recorded an estimated 141 billion British pounds in e-commerce retail sales. Of this value, over 70 percent was first-party sales, and the other 30 percent was third-party. Online sales in both business models were forecast to keep growing in the European country in the coming years.

Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

The report covers UK Online Retail Debit Card Payment Market, Total Number of Retail Categories UK Online Retail Market.t, UK Online Retail Pet Care Market, UK Online Retail Consumer Electronics Market.

A series of retail sales data for Great Britain in value and volume terms, seasonally and non-seasonally adjusted.

In March 2025, online retail sales increased in Great Britain. Compared to the previous month, household goods stores had a month-on-month decrease of two percent.

InvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter 'c', it indicates a cancellation. StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product. Description: Product (item) name. Nominal. Quantity: The quantities of each product (item) per transaction. Numeric. InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated. UnitPrice: Unit price. Numeric, Product price per unit in sterling. CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer. Country: Country name. Nominal, the name of the country where each customer resides.

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

The UK e-commerce market, a significant player in the global landscape, exhibits robust growth potential. With a 2025 market size estimated at £280.55 million (based on the provided global value and adjusting for the UK's share of the global market—a reasonable assumption considering the UK's advanced digital infrastructure and consumer behavior), the sector is projected to maintain a strong Compound Annual Growth Rate (CAGR) of approximately 21.76%. This growth is fueled by several key drivers. Increased internet penetration and smartphone usage continue to expand the addressable market, providing convenient access to online shopping for a broader demographic. The rising popularity of online marketplaces like Amazon and eBay, coupled with the aggressive expansion of omnichannel strategies by traditional retailers, fosters competition and innovation, ultimately benefiting consumers with greater choice and value. Furthermore, evolving consumer preferences towards convenience, personalized experiences, and seamless delivery options further fuel this expansion. However, challenges remain. While the market enjoys high growth, potential restraints include concerns surrounding data privacy and security, increasing competition, and the fluctuating economic climate. Specifically, the segments driving growth include fashion and apparel, beauty and personal care, and consumer electronics. These sectors benefit from strong online presence, visual merchandising opportunities, and the ability to target specific demographics effectively. The B2B e-commerce sector is also anticipated to experience considerable growth, fueled by the increasing adoption of digital procurement solutions by businesses. Key players like Amazon, eBay, Asos, and others are aggressively vying for market share, utilizing advanced technologies and strategic partnerships to consolidate their positions and capture opportunities within the diverse segments of the UK e-commerce landscape. Geographical distribution within the UK itself displays strong regional variations, with London and other major urban centers exhibiting higher penetration rates compared to rural areas. This necessitates tailored strategies and targeted investment for sustained market expansion. Recent developments include: May 2024 - Metapack, a prominent player in e-commerce delivery technology, announced that Mountain Warehouse, a significant outdoor clothing company in the United Kingdom, extended its partnership with Metapack to enhance its delivery capabilities and support its growth strategy. Already utilizing Metapack Delivery Manager, Mountain Warehouse incorporated Metapack’s Delivery Options and Metapack Intelligence solutions into its operations. This investment in shipping infrastructure aims to deliver superior e-commerce experiences to customers across the United Kingdom and Canada., March 2024 - Kin + Carta, a global player in digital transformation consulting, introduced an advanced generative AI and large language model (LLM) tool for the UK retailer Matalan. This innovative tool enables Matalan to efficiently generate comprehensive product descriptions for new items as they are added to its online inventory.. Key drivers for this market are: Increase Developments of 5G Technology, Increased Adoption of Online Payments. Potential restraints include: Increase Developments of 5G Technology, Increased Adoption of Online Payments. Notable trends are: Innovations in 5G Technology is Driving the Market Growth.

The E-Commerce and Online Auctions industry has undergone considerable change over the years, switching from focusing on mail orders and direct TV and telephone sales to e-commerce, driven by the expansion and accessibility of internet services. The increasingly integrated nature of the internet and smartphones in everyday life has been pivotal in developing mobile shopping apps and driving growth. The growth of the internet has also supported online retailers’ reach; e-tailers get strong benefits from using social media platforms such as Facebook, Instagram and TikTok to build traffic effectively at low costs. Similarly, combining with tools like Google Ads allows businesses to place targeted adverts based on keyword searches, helping boost product visibility in search engines and potentially leading to higher sales. Over the five years through 2024-25, e-commerce revenue is expected to expand at a compound annual rate of 4.4% to reach £57.2 billion. E-tailers have taken off by leveraging cost advantages and offering competitive prices to an increasingly price-conscious consumer base. Expanding value-added services like monthly finance options and flexible and fast delivery methods have contributed to double-digital growth in some years. However, there have still been challenges. The cost-of-living crisis dented sales volumes in 2022-23 and 2023-24, driving a slump in revenue. However, rebounding disposable incomes will help to return the industry to growth, with revenue projected to expand by 3% in 2024-25. Over the five years through 2029-30, revenue is expected to climb at a compound annual rate of 4.2% to reach £70.3 billion. The rapid growth of m-commerce is set to continue, driven by increasing smartphone use and better internet access, especially as the 2024 Autumn Budget committed £500 million into improving broadband speed and 5G network coverage through Project Gigabit, which will start in 2025-26. Businesses that adapt quickly to customers' preferences for convenient mobile shopping are likely to be the most competitive. Expanding and adding innovative value-added and online tools like AdWords, cookies and customer service robots will also be important in helping stave off external competition from in-store retailers. Retailers could also look to improve their logistical options, including through the use of drones to reach more customers in remote areas. Lower wage costs from greater automation and AI is expected to support profitability.

The Toys eCommerce market in the UK is predicted to reach US$3,025.8m revenue by 2025. The top online retailers in the market are amazon.co.uk, argos.co.uk and asda.com.

Online small electrical appliance retailers have outperformed their bricks-and-mortar counterparts over the past few years. High internet penetration (92% in 2023, according to the Office for National Statistics) and the growth of internet-enabled devices in the UK have changed consumers' online spending habits , driving up online sales. The increased security of online payment systems has also helped reassure consumers that it’s safe to buy online, increasing online retailers' market share. At the same time, the ease and simplicity of online shopping has increased older consumers' willingness to purchase household appliances online. Over the five years through 2024-25, revenue is expected to edge up at a compound annual rate of 0.1% to reach £396.8 million, owing mostly to a dip in revenue in 2022-23 as the cost of living crisis squeezed Britons’ budgets and ability to spend on small electrical appliances. The pandemic expedited changes to consumer lifestyles, driving a sharp uptake in home coffee consumption and at-home cooking, as well as offering a significant boost to online retail as a share of retail sales. In 2024-25 industry revenue is set to hike by 2.9%, with profit forecast to inch up to 7.7% of revenue owing to easing inflation and mounting demand for kitchen gadgets and small electrical grooming tools, in line growing health consciousness and attention to personal style and appearance. Despite the overall positive trends, the industry continues to contend with numerous challenges, including high inflation and fierce competition, both within the industry and from other retailers like department stores and specialised stores. Increased online activity and the growing popularity of online shopping are expected to drive further growth in the Online Small Electrical Appliance Retailers industry in the coming years. Revenue is slated to swell at a compound annual rate of 3% over the five years through 2029-30 to reach £460.3 million. The continued shift towards online retailing and away from in-store shopping is expected to be the main driver of growth, as well as the introduction of new products. However, online retailers are expected to continue to face some challenges in the short term, including logistical issues, an increased focus on reducing waste and stiff competition.

Goals :

1. Sales Analysis:

Sales data forms the backbone of this dataset, and it allows users to delve into various aspects of sales performance.

2. Product Analysis:

Each product in this dataset comes with its unique identifier (StockCode) and its name (Description).

3. Customer Segmentation:

If you associated specific business logic onto the transactions (such as calculating total amounts), then you could use standard machine learning methods or even RFM (Recency, Frequency, Monetary) segmentation techniques combining it with 'CustomerID' for your customer base to understand customer behavior better.

4. Geographical Analysis:

The Country column enables analysts to study purchase patterns across different geographical locations.

5. Sales Performance Dashboard:

To track the sales performance of the online retail company, a sales performance dashboard can be created. This dashboard can include key metrics such as total sales, sales by product category, sales by customer segment, and sales by geographical location. By visualizing the sales data in an interactive dashboard, it becomes easier to identify trends, patterns, and areas for improvement.

Research Ideas ****:

1. Inventory Management: By analyzing the quantity and frequency of product sales, retailers can effectively manage their stock and predict future demand. This would help ensure that popular items are always available while less popular items aren't overstocked.
2. Customer Segmentation: Data from different countries can be used to understand buying habits across different geographical locations. This will allow the retail company to tailor its marketing strategy for each specific region or country, leading to more effective advertising campaigns.
3. Sales Trend Analysis: With data spanning almost a year, temporal patterns in purchasing behavior can be identified, including seasonality and other trends (like an increase in sales during holidays). Techniques like time-series analysis could provide insights into peak shopping times or days of the week when sales are typically high.
4. Predictive Analysis for Cross-Selling & Upselling: Based on a customer's previous purchase history, predictive algorithms can be utilized to suggest related products that might interest the customer, enhancing upsell and cross-sell opportunities.
5. Detecting Fraud: Analysing sale returns (marked with 'c' in InvoiceNo) across customers or regions could help pinpoint fraudulent activities or operational issues leading to those returns
6. RFM Analysis: By using the RFM (Recency, Frequency, Monetary) segmentation technique, the online retail company can gain insights into customer behavior and tailor their marketing strategies accordingly.

**************Steps :**************

1. Data manipulation and cleaning from raw data using SQL language Google Big Query
2. Data filtering, grouping, and slicing
3. Data Visualization using Tableau
4. Data visualization analysis and result

The online revenue of next.co.uk amounted to US$2,418.2m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

ZARA UK Fashion Dataset offers an extensive collection of fashion product data from ZARA's UK online store, providing a detailed overview of available items. This dataset is valuable for analyzing the European fashion retail market, particularly in the UK, and includes fields such as product titles, URLs, SKUs, MPNs, brands, prices, currency, images, breadcrumbs, country, availability, unique IDs, and timestamps for when the data was scraped.

Key Features:

• Product Details: Includes title, URL, SKU (Stock Keeping Unit), MPN (Manufacturer Part Number), and brand for each product, helping to uniquely identify and differentiate items.
• Pricing Information: Features the price of each product along with the currency used (GBP) to understand the pricing strategies of ZARA in the UK market.
• Visual Data: High-quality images of each product, essential for visual merchandising analysis and online consumer behavior studies.
• Categorical Information: Breadcrumbs data provide context on the product's placement within ZARA's website structure, helping to analyze navigation and product hierarchy.
• Geographical Focus: Specific to the UK market, making it relevant for studies on British fashion retail and consumer trends.
• Availability Status: Includes real-time availability data, which is crucial for understanding stock levels, popular products, and restocking practices.
• Unique Identifiers: Each product is tagged with a uniq_id, ensuring data integrity and making it easier to track and analyze over time.
• Data Collection Timestamp: The scraped_at field records the exact time and date when the data was collected, aiding in time-based analysis of inventory and pricing.

Potential Use Cases:

• Market Research: Analyze UK and European fashion trends, consumer preferences, and competitive positioning within the fast fashion sector.
• E-commerce Analysis: Study ZARA's product placement, pricing, and availability to optimize online retail strategies.
• Stock Management: Use SKU and availability data to predict inventory needs and enhance supply chain efficiency.
• Brand Analysis: Examine the impact of brand identity on consumer choices and product performance in the UK market.
• Academic Research: Ideal for research projects focused on fashion retail, marketing strategies, and consumer behavior in Europe.

Data Sources:

The data is meticulously collected from ZARA's official UK website and other reliable retail databases, reflecting the latest product offerings and market dynamics specific to the UK and European fashion markets.

• ZARA US Retail Products Dataset: Explore over 10,000 product records from ZARA's USA online store, including titles, prices, images, and availability.
  
  
• Fashion Products Dataset from GAP.com: Access detailed product information from GAP's online store, featuring over 4,500 fashion items with attributes like price, brand, color, reviews, and images.
  
  
• Myntra Fashion Products Dataset: A comprehensive dataset from Myntra.com, offering over 12,000 fashion products with detailed attributes for in-depth analysis.

The online revenue of ralphlauren.co.uk amounted to US$262.7m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.