Exploring Online Sales Data with Power BI !!

Another productive day diving into online sales dataset! Here’s a roundup of the insights I uncovered today:

Revenue by Category: Analyzed revenue distribution across different product categories to identify high-performing sectors.

Revenue by Sub-Category: Drilled down into sub-categories for a more granular view of revenue streams.

Revenue by Payment Mode: Examined revenue patterns based on payment methods to understand customer preferences.

Revenue by State: Mapped out revenue by state to pinpoint geographical strengths and opportunities.

Profit by Category: Evaluated profitability across product categories to assess which categories yield the highest profit margins.

Profit by Sub-Category: Explored profit levels at a sub-category level to identify the most profitable segments.

Profit by Payment Mode: Analyzed profit distribution across different payment methods.

Top 5 States by Revenue and Profit: Highlighted the top 5 states driving the most revenue and profit, offering insights into regional performance.

Sales Map by State: Visualized sales data on a map to provide a geographical perspective on sales distribution.

Total Quantity, Revenue, and Profit: Aggregated data to give an overview of total quantities sold, overall revenue, and total profit.

Filter by Category: Added a filter functionality to focus on specific categories and refine data analysis.

All available on the tool. 24 hours a day/7 days a week/ 365 days a year.

NATIONAL USA DATA: 251 million individuals, 170 million households, over 1000 targeting variables and filters available including income, children, home type, investments, vehicle, life stage, and more. Full postal address on the full file. Email/phone/IP.

app.trakdatainc.com

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.

China Online Retail Sales: YoY: Year to Date: Goods and Service data was reported at 7.900 % in Mar 2025. This records an increase from the previous number of 7.300 % for Feb 2025. China Online Retail Sales: YoY: Year to Date: Goods and Service data is updated monthly, averaging 17.100 % from Feb 2015 (Median) to Mar 2025, with 112 observations. The data reached an all-time high of 44.600 % in Feb 2015 and a record low of -3.000 % in Feb 2020. China Online Retail Sales: YoY: Year to Date: Goods and Service 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: Online Retail Sales.

Elevate your marketing and sales strategies with our Global Email Address Data, providing unmatched access to a vast collection of email addresses, phone numbers, and comprehensive B2B and B2C contact information. Our data solutions empower businesses to enrich their outreach efforts, enabling effective online marketing and competitive intelligence.

Designed to enhance your data-driven strategies, our offerings include critical insights such as email address data, phone number data, B2B contact data, and B2C contact data. With our extensive resources, you can build strong connections and effectively engage your target audiences.

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Exclusive CEO Contact Information: Gain direct access to verified CEO contact data, ideal for high-level networking and forging strategic partnerships.

Strategic Use Cases Supported by Our Data:

Online Marketing: Leverage our email and phone data to drive precise online marketing initiatives, enhancing customer engagement and lead generation efforts.

Data Enrichment: Improve database accuracy with our comprehensive data enrichment services, providing a solid foundation for well-informed business decisions.

B2B Data Enrichment: Tailor your B2B databases effectively, enhancing the quality of business contact data to boost outreach initiatives and operational workflows.

Sales Data Enrichment: Amplify your sales strategies with enriched contact data that drives higher conversion rates and overall sales success.

Competitive Intelligence: Gain insights into market trends, competitor activities, and industry shifts using our detailed contact data, giving you an edge in your field.

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Get Started with Success.ai Today: Partner with Success.ai to harness the full potential of high-quality contact data. Whether your goal is to enhance online marketing efforts, enrich sales databases, or gain strategic competitive insights, our comprehensive data solutions can propel your business forward.

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Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

China Tmall Online Sales: Number of Store data was reported at 323.013 Unit th in Aug 2020. This records an increase from the previous number of 316.519 Unit th for Jul 2020. China Tmall Online Sales: Number of Store data is updated monthly, averaging 279.212 Unit th from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 323.013 Unit th in Aug 2020 and a record low of 238.574 Unit th in Jun 2019. China Tmall Online Sales: Number of Store data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

Our online count tool, Bizi, is a flagship project designed to help customers with segmentation, targeting, and data analysis. This powerful tool lets you explore our database, which supports over 130 selection filters, including:

• Employee size
• Geography
• Sector
• Turnover
• SIC/Market Sector
• Ltd Company Flag

Businesses can combine several criteria to narrow their searches, allowing quicker access to the required information.

Market Location can set you up with online access to Bizi and you can use it in different ways:

Run counts Use the selection criteria to run counts on our live dataset and export crosstabs to share the results internally.

Order data We use a ‘credits’ process to allow you a volume of records that can be downloaded in real time with no human interaction required from us, making the order process seamless and fast. Many of our customers purchase a bulk of credits and then use Bizi to download data files as and when they need it, making sure that they use the most recent data records each time.

Alternatively, you can run your counts (or we can help). You can determine the full target market that you would like to take, discuss with our sales or account management team and they can provide you with a quotation for the data license. Once approved, your order can then be released and you can download from Bizi when you’re ready.

China Others: Jingdong Online Sales: Market Share data was reported at 11.700 % in Mar 2025. This records a decrease from the previous number of 11.790 % for Feb 2025. China Others: Jingdong Online Sales: Market Share data is updated monthly, averaging 12.230 % from Jan 2019 (Median) to Mar 2025, with 75 observations. The data reached an all-time high of 15.518 % in Mar 2021 and a record low of 9.420 % in Jan 2023. China Others: Jingdong Online Sales: Market Share data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTC: Jingdong Online Sales: By Category.

Envestnet®| Yodlee®'s Retail Sales 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

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.

This dataset contains a list of sales and movement data by item and department appended monthly. Update Frequency : Monthly

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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.

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• 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...

China Online Retail Sales: Year to Date: Goods data was reported at 2,994.820 RMB bn in Mar 2025. This records an increase from the previous number of 1,863.260 RMB bn for Feb 2025. China Online Retail Sales: Year to Date: Goods data is updated monthly, averaging 3,682.600 RMB bn from Jun 2013 (Median) to Mar 2025, with 117 observations. The data reached an all-time high of 13,081.570 RMB bn in Dec 2024 and a record low of 399.100 RMB bn in Feb 2015. China Online Retail Sales: Year to Date: Goods 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: Online Retail Sales.

Success.ai delivers a sophisticated array of contact data services tailored to enhance online marketing and support comprehensive data enrichment initiatives. Our resources encompass a wide range of essential information including email addresses, phone numbers, B2B contacts, and direct CEO connections, alongside expansive B2C data, facilitating robust competitive intelligence and sales data enrichment.

• Targeted Email Address Data: Access a vast array of email information pivotal for executing precise online marketing campaigns and engaging with key business stakeholders.
• Comprehensive Phone Number Data: Utilize our extensive phone data for telemarketing, enhancing direct contact strategies, and improving customer interaction.
• Dynamic B2B and B2C Contact Data: With our detailed B2B and B2C contact data, tailor your outreach and ensure your messaging reaches the right audience, from C-suite executives to crucial consumer segments.
• Exclusive CEO Contact Information: Directly reach top-tier executives with our verified CEO contact data, ideal for high-level networking and partnership development.

Strategic Use Cases Supported by Our Data:

• Online Marketing: Leverage our email and phone data to drive targeted online marketing strategies, enhancing lead generation and customer engagement.
• Data Enrichment: Refine your database accuracy with our data enrichment services, ensuring your business decisions are based on the most current and comprehensive data.
• B2B Data Enrichment: Specifically tailor your B2B databases to improve the quality of business contact data, enhancing outreach efforts and operational efficiency.
• Sales Data Enrichment: Elevate your sales strategies with enriched contact data that increases conversion rates and sales success.
• Competitive Intelligence: Gain a competitive edge by using our detailed contact data to gather intelligence on market trends, competitor activities, and industry shifts.

Why Choose Success.ai?

• Unmatched Data Precision: We ensure a 99% accuracy rate across all data points through rigorous validation processes, supporting your strategic needs with reliable data.
• Global Reach with Tailored Solutions: Our data spans across global markets but is finely tuned to meet local business requirements, ensuring you have access to pertinent information wherever your business operates.
• Affordable Pricing with Best Value: We are committed to providing the most cost-effective data solutions on the market, ensuring you receive the best value for your investment without compromising on quality.
• Ethical Data Practices: Compliance with international data privacy standards is at the heart of what we do, ensuring that your use of our data is both responsible and legally sound.

Get Started with Success.ai Today: Partner with Success.ai to harness the full potential of high-quality contact data. Whether you're aiming to enhance your online marketing efforts, enrich your sales databases, or gain strategic competitive intelligence, our comprehensive data solutions are designed to propel your business to new heights.

Contact us to discover how we can customize our offerings to suit your specific business requirements.

Maximize your business potential with Success.ai's LinkedIn Company and Contact Data, a comprehensive solution designed to empower your business with strategic insights drawn from one of the largest professional networks in the world. This extensive dataset includes in-depth profiles from over 700 million professionals and 70 million companies globally, making it a goldmine for businesses aiming to enhance their marketing strategies, refine competitive intelligence, and drive robust B2B lead generation.

Transform Your Email Marketing Efforts With Success.ai, tap into highly detailed and direct contact data to personalize your communications effectively. By accessing a vast array of email addresses, personalize your outreach efforts to dramatically improve engagement rates and conversion possibilities.

Data Enrichment for Comprehensive Insights Integrate enriched LinkedIn data seamlessly into your CRM or any analytical system to gain a comprehensive understanding of your market landscape. This enriched view helps you navigate through complex business environments, enhancing decision-making and strategic planning.

Elevate Your Online Marketing Deploy targeted and precision-based online marketing campaigns leveraging detailed professional data from LinkedIn. Tailor your messages and offers based on specific professional demographics, industry segments, and more, to optimize engagement and maximize online marketing ROI.

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Why Partner with Success.ai for LinkedIn Data? - Competitive Pricing Assurance: Success.ai guarantees the most aggressive pricing, ensuring you receive unbeatable value for your investment in high-quality professional data. - Global Data Access: With coverage extending across 195 countries, tap into a rich reservoir of professional information, covering diverse industries and market segments. - High Data Accuracy: Backed by advanced AI technology and manual validation processes, our data accuracy rate stands at 99%, providing you with reliable and actionable insights. - Custom Data Integration: Receive tailored data solutions that fit seamlessly into your existing business processes, delivered in formats such as CSV and Parquet for easy integration. - Ethical Data Compliance: Our data sourcing and processing practices are fully compliant with global standards, ensuring ethical and responsible use of data. - Industry-wide Applications: Whether you’re in technology, finance, healthcare, or any other sector, our data solutions are designed to meet your specific industry needs.

Strategic Use Cases for Enhanced Business Performance - Email Marketing: Leverage accurate contact details for personalized and effective email marketing campaigns. - Online Marketing and Digital Advertising: Use detailed demographic and professional data to refine your online presence and digital ad targeting. - Data Enrichment and B2B Lead Generation: Enhance your databases and accelerate your lead generation with enriched, up-to-date data. - Competitive Intelligence and Market Research: Stay ahead of the curve by using our data for deep market analysis and competitive research.

With Success.ai, you’re not just accessing data; you’re unlocking a gateway to strategic business growth and enhanced market positioning. Start with Success.ai today to leverage our LinkedIn Company Data and transform your business operations with precision and efficiency.

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Hello Kaggle Community!👋 Check out my new Unguided Power BI End-to-End Practice Project. The objective is to conduct a complete analysis of historical online sales data to identify trends, patterns, and anomalies impacting revenue growth. Quantify the impact of key performance indicators (KPIs) on overall sales performance and provide data-driven recommendations. Deliver a detailed report outlining findings, insights, and strategic recommendations to stimulate revenue growth and enhance business performance. 📈📊

I decided to try something new this time by recording myself and giving an overview of the entire project as if I were presenting to senior stakeholders. I thought it would help me improve my storytelling skills, according to the current industry. There's definitely a lot of room for improvement and your invaluable feedback will be instrumental in identifying those areas.

DataAnalytics #DataAnalysis #DataAnalyst #OnlineStoreSales #PowerBI #DataStoryTelling #BusinessIntelligence #DataVisualization #DataDrivenInsights

China Taobao Online Sales: Volume data was reported at 7,625.827 Unit mn in Aug 2020. This records an increase from the previous number of 7,391.891 Unit mn for Jul 2020. China Taobao Online Sales: Volume data is updated monthly, averaging 7,625.827 Unit mn from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 8,645.429 Unit mn in Aug 2019 and a record low of 3,475.599 Unit mn in Feb 2020. China Taobao Online Sales: Volume data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

China Online Retail Sales: YoY: Year to Date: Goods data was reported at 5.700 % in Mar 2025. This records an increase from the previous number of 5.000 % for Feb 2025. China Online Retail Sales: YoY: Year to Date: Goods data is updated monthly, averaging 19.900 % from Jun 2014 (Median) to Mar 2025, with 115 observations. The data reached an all-time high of 49.900 % in Sep 2014 and a record low of 3.000 % in Feb 2020. China Online Retail Sales: YoY: Year to Date: Goods 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: Online Retail Sales.