This statistic shows a trend in total retail sales including food services in the United States from January 2017 to March 2025. In March 2025, U.S. retail sales had amounted to an estimated 737.3 billion U.S. dollars (not adjusted), which is an increase of 4.2 compared to the same month one year earlier.

📊 Supplement Sales Data (2020–2025) Overview This dataset contains weekly sales data for a variety of health and wellness supplements from January 2020 to April 2025. The data includes products in categories like Protein, Vitamins, Omega, and Amino Acids, among others, and covers multiple e-commerce platforms such as Amazon, Walmart, and iHerb. The dataset also tracks sales in several locations including the USA, UK, and Canada.

Dataset Details Time Range: January 2020 to April 2025

Frequency: Weekly (Every Monday)

Number of Rows: 4,384

Columns:

Date: The week of the sale.

Product Name: The name of the supplement (e.g., Whey Protein, Vitamin C, etc.).

Category: The category of the supplement (e.g., Protein, Vitamin, Omega).

Units Sold: The number of units sold in that week.

Price: The selling price of the product.

Revenue: The total revenue generated (Units Sold * Price).

Discount: The discount applied on the product (as a percentage of original price).

Units Returned: The number of units returned in that week.

Location: The location of the sale (USA, UK, or Canada).

Platform: The e-commerce platform (Amazon, Walmart, iHerb).

Use Cases This dataset is ideal for:

Time-series forecasting and sales trend analysis 📈

Price vs. demand analysis and revenue prediction 📊

Sentiment analysis and impact of promotions (Discounts) on sales 🛍️

Product performance tracking across different platforms and locations 🛒

Business optimization in the health and wellness e-commerce sector 💼

Potential Applications Build predictive models to forecast future sales 📅

Analyze the effectiveness of discounts and promotions 💸

Create recommendation systems for supplement products 🧠

Perform exploratory data analysis (EDA) and uncover trends 🔍

Model return rates and their effect on overall revenue 📉

Why This Dataset? This dataset provides an excellent starting point for those interested in building business intelligence tools, e-commerce forecasting models, or exploring health & wellness trends. It also serves as a perfect dataset for data science learners looking to apply regression, time-series analysis, and predictive modeling techniques.

Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

This is a case study for the company to improve sales

Business Goal
Date: 2023/09/15
Dataset: Sales quantity of a certain brand from January to December 2022 and from January to September 2023.

Please describe what you observe (no specific presentation format required). Among your observations, identify at least three valuable insights and explain why you consider them valuable.
If more resources were available to you (including time, information, etc.), what would you need, and what more could you achieve?

Metadata of the file Data Period: January 2022 - September 2023 Data Fields: - item - store_id - sales of each month

Metadata of the file Data Period: January 2022 - September 2023 Data Fields: - item - store_id - sales of each month

Sample question & answer 1. Product insights: identify the product sales analysis, such as BCG matrix 2. Store insights: identify the sales performance of the sales 3. Supply chain insights: identify the demand 4. Time series forecasting: identify tread, seasonality

Feel free to leave comments on the discussion. I'd appreciate your upvote if you find my dataset useful! 😀

In 2022, U.S. auto shoppers bought approximately 2.86 million autos. Meanwhile, light trucks accounted for more than 79 percent of light vehicles sold to individual customers and corporate fleets in the United States.

In 2024, Kroger's sales amounted to around 147.1 billion U.S. dollars, down from the previous year, when they amounted to approximately 147.3 billion. Kroger is a supermarket chain operating in the United States. It was founded by Bernard Kroger in Cincinnati, Ohio in 1883.

The chart provides an insightful analysis of the estimated sales amounts for Consumer Electronics stores across various platforms. Custom Cart stands out, generating a significant portion of sales with an estimated amount of $1.23T, which is 95.69% of the total sales in this category. Following closely, Shopify accounts for $28.88B in sales, making up 2.24% of the total. WooCommerce also shows notable performance, contributing $9.15B to the total sales, representing 0.71%. This data highlights the sales dynamics and the varying impact of each platform on the Consumer Electronics market.

CN: Industrial Enterprise: YoY: Cost of Sales: ytd: Liaoning data was reported at -6.500 % in Feb 2025. This stayed constant from the previous number of -6.500 % for Jan 2025. CN: Industrial Enterprise: YoY: Cost of Sales: ytd: Liaoning data is updated monthly, averaging 0.550 % from Jan 2019 (Median) to Feb 2025, with 74 observations. The data reached an all-time high of 25.200 % in May 2021 and a record low of -8.100 % in Mar 2020. CN: Industrial Enterprise: YoY: Cost of Sales: ytd: Liaoning data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Cost of Sales: By Province.

Retail Sales in Finland increased 0.90 percent in April of 2025 over the previous month. This dataset provides - Finland Retail Sales MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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).

The total sales value of the art market in the United States declined by roughly nine percent in 2024 over the previous year, amounting to 24.8 billion U.S. dollars. That year, the United States was the leading art market worldwide, accounting for over 40 percent of the global art market value.

Introduction

Social Media Marketing Statistics: Social media marketing is a key part of any digital marketing plan today. With over 50% of the world’s population using social media, brands need to be active on these platforms. But it’s not just about making profiles and posting content. Effective social media marketing involves keeping up with changing algorithms and trends and understanding the behaviors of your target audience. Social media’s interactive and engaging nature helps businesses connect with their audience in ways they couldn’t before.

This opens up new opportunities for engaging with people, building the brand, and doing direct marketing. We shall shed more light on Social Media Marketing Statistics through this article.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

Application and use cases

1 )Market Analysis: Evaluate overall trends and regional variations in car sales to assess manufacturer performance, model preferences, and demographic insights. 2) Seasonal Patterns and Competitor Analysis: Investigate seasonal and cyclical patterns in sales. 3) Forecasting and Predictive Analysis Use historical data for forecasting and predict future market trends. Support marketing, advertising, and investment decisions based on insights. 4) Supply Chain and Inventory Optimization: Provide valuable data for stakeholders in the automotive industry.

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 📊

Retail Sales - Table 620-67001 : Total Retail Sales

Graph and download economic data for Retail Sales: Used Car Dealers (MRTSMPCSM44112USN) from Feb 1992 to Mar 2025 about used, dealers, vehicles, retail trade, sales, retail, and USA.

Data showing how many books were sold in 2024 revealed that the printed book market remains healthy: a total of 782.7 million units were sold that year among outlets which reported to the source. Whilst this marked a small jump from the previous year, the figure peaked in 2021 and has not surpassed 800 million since. Trade paperbacks remained the dominant format. Book sales statistics Looking at book sales by year, 2005 to 2010 were the most lucrative for the printed book market, with well over 700 million units sold annually during that five-year period. After dropping below 600 million in 2012, gradual and consistent increases can be seen each year, with the exception of between the years 2018 and 2019. For bookstores though, how many books are sold each year depends on the success of key months across a twelve-month period. Bookstore sales in the United States are at their highest in December, January, and August, but figures for December are consistently higher than other months. Books are popular holiday gifts, with around 30 to 40 percent of consumers responding to annual surveys in each year from 2012 to 2020 saying that they planned to purchase books as presents during the festive season.

CN: Industrial Enterprise: YoY: Cost of Sales: ytd: Tianjin data was reported at 1.100 % in Feb 2025. This stayed constant from the previous number of 1.100 % for Jan 2025. CN: Industrial Enterprise: YoY: Cost of Sales: ytd: Tianjin data is updated monthly, averaging 2.750 % from Jan 2019 (Median) to Feb 2025, with 74 observations. The data reached an all-time high of 42.200 % in Feb 2021 and a record low of -18.500 % in Mar 2020. CN: Industrial Enterprise: YoY: Cost of Sales: ytd: Tianjin data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Cost of Sales: By Province.

Retail Trade, sales by industries based on North American Industry Classification System (NAICS), monthly.