Here is the updated list with web_events.csv included:

1. Orders Dataset:

   • Contains details of customer orders, including order dates, total order amounts (in USD), and associated customer IDs.
   • Helps analyze revenue trends, customer purchasing behavior, and seasonal patterns.

2. Accounts Dataset:

   • Represents customer account information such as account IDs, names, and sales representative assignments.
   • Useful for understanding customer demographics and their engagement with the company.

3. Regions Dataset:

   • Defines geographical regions managed by sales representatives, including region names and IDs.
   • Enables regional sales performance analysis and comparative insights across regions.

4. Sales Representatives Dataset:

   • Includes data on sales representatives, their IDs, names, and the regions they serve.
   • Helps link customer accounts to specific regions and analyze rep performance.

5. Web Events Dataset:

   • Logs customer interactions on the company's website, including timestamps, event types, and user IDs.
   • Helps track user activity, identify trends in website engagement, and optimize the online user experience.

These datasets collectively enable comprehensive insights into sales performance, customer behavior, website engagement, and regional trends, forming the backbone of the interactive dashboard.

Dashboard Link:

Click Here To Visit Dashboard 📊

The share of enterprises making e-commerce sales via their own website or mobile applications in Turkey fluctuated over the observed years. The lowest share of enterprises selling goods or services on their own websites or apps was recorded in 2021 at 59 percent. In 2023, the figures decreased to a second-lowest value, which was 59.1 percent. At the same time, the share of companies making online sales via marketplace websites or apps increased significantly.

A complete list of live websites using the Sales Booster technology, compiled through global website indexing conducted by WebTechSurvey.

Revolutionize Customer Engagement with Our Comprehensive Ecommerce Data

Our Ecommerce Data is designed to elevate your customer engagement strategies, providing you with unparalleled insights and precision targeting capabilities. With over 61 million global contacts, this dataset goes beyond conventional data, offering a unique blend of shopping cart links, business emails, phone numbers, and LinkedIn profiles. This comprehensive approach ensures that your marketing strategies are not just effective but also highly personalized, enabling you to connect with your audience on a deeper level.

What Makes Our Ecommerce Data Stand Out?

• Unique Features for Enhanced Targeting
  Our Ecommerce Data is distinguished by its depth and precision. Unlike many other datasets, it includes shopping cart links—a rare and valuable feature that provides you with direct insights into consumer behavior and purchasing intent. This information allows you to tailor your marketing efforts with unprecedented accuracy. Additionally, the integration of business emails, phone numbers, and LinkedIn profiles adds multiple layers to traditional contact data, enriching your understanding of clients and enabling more personalized engagement.

• Robust and Reliable Data Sourcing
  We pride ourselves on our dual-sourcing strategy that ensures the highest levels of data accuracy and relevance:

  • Real-Time Information from 10 Active Publication Sites: Our databases are continuously updated with the latest information, sourced from ten active publication sites that provide real-time data.
  • Dedicated Contact Discovery Team: Complementing our automated sources, our dedicated Contact Discovery Team conducts thorough research and investigations, ensuring that every piece of data is accurate and reliable. This two-pronged approach guarantees that our Ecommerce Data is both up-to-date and relevant, providing you with a solid foundation for your business strategies.

  Primary Use Cases Across Industries

Our Ecommerce Data is versatile and can be leveraged across various industries for multiple applications: - Precision Targeting in Marketing: Create personalized marketing campaigns based on detailed shopping cart activities, ensuring that your outreach resonates with individual customer preferences. - Sales Enrichment: Sales teams can benefit from enriched client profiles that include comprehensive contact information, enabling them to connect with key decision-makers more effectively. - Market Research and Analytics: Research and analytics departments can use this data for in-depth market studies and trend analyses, gaining valuable insights into consumer behavior and market dynamics.

Global Coverage for Comprehensive Engagement

Our Ecommerce Data spans across the globe, providing you with extensive reach and the ability to engage with customers in diverse regions: - North America: United States, Canada, Mexico - Europe: United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, and more - Asia: China, Japan, India, South Korea, Singapore, Malaysia, and more - South America: Brazil, Argentina, Chile, Colombia, and more - Africa: South Africa, Nigeria, Kenya, Egypt, and more - Australia and Oceania: Australia, New Zealand - Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, and more

Comprehensive Employee and Revenue Size Information

Our dataset also includes detailed information on: - Employee Size: Whether you’re targeting small businesses or large corporations, our data covers all employee sizes, from startups to global enterprises. - Revenue Size: Gain insights into companies across various revenue brackets, enabling you to segment the market more effectively and target your efforts where they will have the most impact.

Seamless Integration into Broader Data Offerings

Our Ecommerce Data is not just a standalone product; it is a critical piece of our broader data ecosystem. It seamlessly integrates with our comprehensive suite of business and consumer datasets, offering you a holistic approach to data-driven decision-making: - Tailored Packages: Choose customized data packages that meet your specific business needs, combining Ecommerce Data with other relevant datasets for a complete view of your market. - Holistic Insights: Whether you are looking for industry-specific details or a broader market overview, our integrated data solutions provide you with the insights necessary to stay ahead of the competition and make informed business decisions.

Elevate Your Business Decisions with Our Ecommerce Data

In essence, our Ecommerce Data is more than just a collection of contacts—it’s a strategic tool designed to give you a competitive edge in understanding and engaging your target audience. By leveraging the power of this comprehensive dataset, you can elevate your business decisions, enhance customer interactions, and navigate the digital landscape with confi...

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

A complete list of live websites using the Woo Total Sales technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the Simple Sales Tax technology, compiled through global website indexing conducted by WebTechSurvey.

Context

E-commerce has become a new channel to support businesses development. Through e-commerce, businesses can get access and establish a wider market presence by providing cheaper and more efficient distribution channels for their products or services. E-commerce has also changed the way people shop and consume products and services. Many people are turning to their computers or smart devices to order goods, which can easily be delivered to their homes.

Content

This is a sales transaction data set of UK-based e-commerce (online retail) for one year. This London-based shop has been selling gifts and homewares for adults and children through the website since 2007. Their customers come from all over the world and usually make direct purchases for themselves. There are also small businesses that buy in bulk and sell to other customers through retail outlet channels.

The data set contains 500K rows and 8 columns. The following is the description of each column. 1. TransactionNo (categorical): a six-digit unique number that defines each transaction. The letter “C” in the code indicates a cancellation. 2. Date (numeric): the date when each transaction was generated. 3. ProductNo (categorical): a five or six-digit unique character used to identify a specific product. 4. Product (categorical): product/item name. 5. Price (numeric): the price of each product per unit in pound sterling (£). 6. Quantity (numeric): the quantity of each product per transaction. Negative values related to cancelled transactions. 7. CustomerNo (categorical): a five-digit unique number that defines each customer. 8. Country (categorical): name of the country where the customer resides.

There is a small percentage of order cancellation in the data set. Most of these cancellations were due to out-of-stock conditions on some products. Under this situation, customers tend to cancel an order as they want all products delivered all at once.

Inspiration

Information is a main asset of businesses nowadays. The success of a business in a competitive environment depends on its ability to acquire, store, and utilize information. Data is one of the main sources of information. Therefore, data analysis is an important activity for acquiring new and useful information. Analyze this dataset and try to answer the following questions. 1. How was the sales trend over the months? 2. What are the most frequently purchased products? 3. How many products does the customer purchase in each transaction? 4. What are the most profitable segment customers? 5. Based on your findings, what strategy could you recommend to the business to gain more profit?

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United Kingdom E Commerce Sales: Over a Website: Other Services data was reported at 28.500 GBP bn in 2016. This records an increase from the previous number of 22.800 GBP bn for 2015. United Kingdom E Commerce Sales: Over a Website: Other Services data is updated yearly, averaging 18.900 GBP bn from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 28.500 GBP bn in 2016 and a record low of 8.100 GBP bn in 2009. United Kingdom E Commerce Sales: Over a Website: Other Services data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S028: E Commerce: Sales: By Industry.

Ever since eCommerce became a mainstream business, website owners have wrestled with the thorny problem of getting more website sales from the same amount of website traffic. There are many ways to do this but what if there was an easy way to stop your website visitors from leaving your site so quickly? There are […]

In 2023, 18.1 percent of enterprises in Finland made B2C e-commerce sales through a website. From 2014 to 2023, the share of enterprises grew by around nine percent.

United Kingdom E Commerce Sales: Over a Website: 1000+ Employees data was reported at 4.000 % in 2016. This records an increase from the previous number of 3.400 % for 2015. United Kingdom E Commerce Sales: Over a Website: 1000+ Employees data is updated yearly, averaging 3.400 % from Dec 2012 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.000 % in 2016 and a record low of 3.100 % in 2012. United Kingdom E Commerce Sales: Over a Website: 1000+ Employees data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.S029: E Commerce: Sales: Proportion of Business Turnover Derived From E Commerce: By Size of Business.

his statistic presents a ranking of the leading web-only merchants in the United States in 2017, sorted by annual net e-commerce sales. In 2017, Newegg, Inc. generated nearly 3 billion U.S. dollars via e-commerce sales of physical goods in the United States. Online furniture retailer Wayfair was ranked second with 4.07 billion U.S. dollars in e-commerce sales and is one of the most popular furniture e-retailers in the United States. Wayfair's 2017 revenue amounted to 4.7 billion U.S. dollars, up from 3.4 billion U.S. dollars in the preceding fiscal year.

A complete list of live websites using the Fami Sales Popup technology, compiled through global website indexing conducted by WebTechSurvey.

United Kingdom E Commerce Sales: Over a Website: Retail data was reported at 41.100 GBP bn in 2017. This records an increase from the previous number of 31.900 GBP bn for 2016. United Kingdom E Commerce Sales: Over a Website: Retail data is updated yearly, averaging 23.000 GBP bn from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 41.100 GBP bn in 2017 and a record low of 9.800 GBP bn in 2008. United Kingdom E Commerce Sales: Over a Website: Retail data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S028: E Commerce: Sales: By Industry.

This dataset is having data of customers who buys clothes online. The store offers in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.

The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

Taiwan CS: WS: % By Channel: Online Sales (Own Website) data was reported at 31.830 % in 2011. This records an increase from the previous number of 26.250 % for 2010. Taiwan CS: WS: % By Channel: Online Sales (Own Website) data is updated yearly, averaging 26.250 % from Dec 2009 (Median) to 2011, with 3 observations. The data reached an all-time high of 31.830 % in 2011 and a record low of 23.755 % in 2009. Taiwan CS: WS: % By Channel: Online Sales (Own Website) data remains active status in CEIC and is reported by Ministry of Economic Affairs. The data is categorized under Global Database’s Taiwan – Table TW.H009: Commerce Sales: Ministry of Economic Affairs: Sales Channels.

United Kingdom E Commerce Sales: Over a Website: Utilities data was reported at 15.100 GBP bn in 2016. This records a decrease from the previous number of 20.000 GBP bn for 2015. United Kingdom E Commerce Sales: Over a Website: Utilities data is updated yearly, averaging 9.600 GBP bn from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 20.000 GBP bn in 2015 and a record low of 6.700 GBP bn in 2009. United Kingdom E Commerce Sales: Over a Website: Utilities data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.S028: E Commerce: Sales: By Industry.

United Kingdom E Commerce Sales: Over a Website data was reported at 8.000 % in 2016. This records an increase from the previous number of 7.800 % for 2015. United Kingdom E Commerce Sales: Over a Website data is updated yearly, averaging 6.300 % from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 8.000 % in 2016 and a record low of 3.800 % in 2008. United Kingdom E Commerce Sales: Over a Website data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S029: E Commerce: Sales: Proportion of Business Turnover Derived From E Commerce: By Size of Business.

United Kingdom E Commerce Sales: Over a Website: Accommodation&Food Services data was reported at 10.600 GBP bn in 2016. This records an increase from the previous number of 8.900 GBP bn for 2015. United Kingdom E Commerce Sales: Over a Website: Accommodation&Food Services data is updated yearly, averaging 8.300 GBP bn from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 10.600 GBP bn in 2016 and a record low of 2.600 GBP bn in 2008. United Kingdom E Commerce Sales: Over a Website: Accommodation&Food Services data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S028: E Commerce: Sales: By Industry.