Over the course of 2024, in the United States, the retailer market share of home improvement sales on Amazon varied. The retailer market share started at just over 14 percent at the beginning of the year. Throughout the year, the market share fell, before rising to around 18 percent in the last month of the year.

Amazon is known as an e-commerce company, but in recent years, the retailer has invested in opening physical stores across the United States with more international expansion in mind. Amazon’s physical retail stores come in different formats, including Amazon Fresh grocery stores, Amazon Go, Amazon Books, Amazon 4 Star, and Amazon Pop-up. Typically, Amazon’s branded devices, books and other merchandise are available in these stores. In the fourth quarter of 2024, net sales from Amazon’s physical retailing amounted to nearly 5.8 billion U.S. dollars. Whole Foods acquisition and Amazon Fresh Amazon’s venture into brick-and-mortar grocery store retailing started with the acquisition of the Whole Foods Market in 2018. By 2017, just before it was bought out by Amazon, the supermarket Whole Foods had registered a net sales revenue of over 16 billion U.S. dollars. In addition to some 500 Whole Foods locations, Amazon’s grocery retail business is supported by Amazon Fresh with stores predominantly in the United States. Outside of the United States, Amazon opened its first Amazon Fresh stores in the United Kingdom in March 2021. Amazon’s retail portfolio Amazon has a diverse retail portfolio, both in terms of merchandise and the business models it offers across its platforms. While it started its e-commerce business as an online retailer acting as the first-party owner of the products on offer, third-party selling on the Amazon marketplace increasingly became the norm among online sellers, who often employ both models when working with Amazon. Since 2017, more than half of paid units of Amazon is attributed to third-party sellers using the Amazon marketplace to sell their products.

Amazon is one of the most recognisable brands in the world, and the third largest by revenue. It was the fourth tech company to reach a $1 trillion market cap, and a market leader in e-commerce,...

YouTube has emerged as the dominant social media platform for driving traffic to Amazon.com, accounting for over 60 percent of referrals to the e-commerce platform between July and September 2025. Facebook.com and Reddit.com followed, contributing about 13 and eight percent of social media referrals respectively, while Reddit and WhatsApp rounded out the top five sources. Amazon's dominance Amazon's position as the leading online retailer in the United States is evident in its traffic and sales figures. In December 2023, Amazon still recorded an impressive 2.7 billion combined visits. The company's financial performance remains strong, with a net income of approximately 13.5 billion U.S. dollars in the second quarter of 2024, up from the previous quarters. Mobile presence Amazon's mobile presence continues to grow, with its shopping app downloads reaching a nine-year peak in August 2022 at approximately 25 million. As of July 2024, the Amazon Shopping app reached over 18 million downloads across iOS and Android platforms. That month, Amazon’s shopping app was the most popular app published by the e-commerce and tech giant.

1) Data Introduction • The Amazon Sales Dataset includes e-commerce product and consumer feedback data, including details on more than 1,000 products collected from Amazon's official website, discount prices, ratings, reviews, and categories.

2) Data Utilization (1) Amazon Sales Dataset has characteristics that: • The dataset includes a variety of product and review-related attributes, including product ID, product name, category, real and discounted prices, discount rates, ratings, rating numbers, product descriptions, user reviews, images, and product links. (2) Amazon Sales Dataset can be used to: • Product Rating and Review Analysis: Use rating and review data to analyze consumer satisfaction, popular products, review trends, and develop marketing strategies for each product. • Development of Price Policy and Recommendation System: Based on price information such as actual price, discount price, and discount rate, it can be used for price policy analysis, product recommendation system, consumer purchasing behavior prediction, etc.

Comprehensive dataset covering Amazon's 1.9 million active third-party sellers worldwide, including regional distribution, growth trends, and marketplace dynamics from 2000-2025.

In 2024, Amazon was expected to generate roughly 53 billion U.S. dollars in retail media ad revenue, which would be an increase of 16 percent on its 2023 result. Alibaba, on the other hand, expected a growth rate of 1.4 percent year on year, which would put the Chinese platform at 42 billion dollars in retail media ad revenue in the same year.

Amazon's monthly revenue in the United States for beauty and personal care sales is estimated to range from 2.4 to 3.8 billion U.S. dollars in 2024. The sales revenue is estimated to experience two significant peaks, one in July 2024 at 3.6 billion U.S. dollars and the other in December 2024 at 3.8 billion U.S. dollars. In the same year, beauty and personal care products were one of Amazon's most profitable product categories.

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E-Commerce Sales Dataset

Analyzing and Maximizing Online Business Performance

By ANil [source]

About this dataset

This dataset provides an in-depth look at the profitability of e-commerce sales. It contains data on a variety of sales channels, including Shiprocket and INCREFF, as well as financial information on related expenses and profits. The columns contain data such as SKU codes, design numbers, stock levels, product categories, sizes and colors. In addition to this we have included the MRPs across multiple stores like Ajio MRP , Amazon MRP , Amazon FBA MRP , Flipkart MRP , Limeroad MRP Myntra MRP and PaytmMRP along with other key parameters like amount paid by customer for the purchase , rate per piece for every individual transaction Also we have added transactional parameters like Date of sale months category fulfilledby B2b Status Qty Currency Gross amt . This is a must-have dataset for anyone trying to uncover the profitability of e-commerce sales in today's marketplace

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How to use the dataset

This dataset provides a comprehensive overview of e-commerce sales data from different channels covering a variety of products. Using this dataset, retailers and digital marketers can measure the performance of their campaigns more accurately and efficiently.

The following steps help users make the most out of this dataset: - Analyze the general sales trends by examining info such as month, category, currency, stock level, and customer for each sale. This will give you an idea about how your e-commerce business is performing in each channel.
- Review the Shiprocket and INCREF data to compare and analyze profitability via different fulfilment methods. This comparison would enable you to make better decisions towards maximizing profit while minimizing costs associated with each method’s referral fees and fulfillment rates.
- Compare prices between various channels such as Amazon FBA MRP, Myntra MRP, Ajio MRP etc using the corresponding columns for each store (Amazon MRP etc). You can judge which stores are offering more profitable margins without compromising on quality by analyzing these pricing points in combination with other information related to product sales (TP1/TP2 - cost per piece).
- Look at customer specific data such as TP 1/TP 2 combination wise Gross Amount or Rate info in terms price per piece or total gross amount generated by any SKU dispersed over multiple customers with relevant dates associated to track individual item performance relative to others within its category over time periods shortlisted/filtered appropriately.. Have an eye on items commonly utilized against offers or promotional discounts offered hence crafting strategies towards inventory optimization leading up-selling operations.?
- Finally Use Overall ‘Stock’ details along all the P & L Data including Yearly Expenses_IIGF information record for takeaways which might be aimed towards essential cost cutting measures like switching amongst delivery options carefully chosen out of Shiprocket & INCREFF leadings away from manual inspections catering savings under support personnel outsourcing structures.?

By employing a comprehensive understanding on how our internal subsidiaries perform globally unless attached respective audits may provide us remarkably lower operational costs servicing confidence; costing far lesser than being incurred taking into account entire pallet shipments tracking sheets representing current level supply chains efficiencies achieved internally., then one may finally scale profits exponentially increases cut down unseen losses followed up introducing newer marketing campaigns necessarily tailored according playing around multiple goods based spectrums due powerful backing suitable transportation boundaries set carefully

Research Ideas

• Analysing the difference in profitability between sales made through Shiprocket and INCREFF. This data can be used to see where the biggest profit margins lie, and strategize accordingly.
• Examining the Complete Cost structure of a product with all its components and their contribution towards revenue or profitability, i.e., TP 1 & 2, MRP Old & Final MRP Old together with Platform based MRP - Amazon, Myntra and Paytm etc., Currency based Profit Margin etc.
• Building a predictive model using Machine Learning by leveraging historical data to predict future sales volume and profits for e-commerce products across multiple categories/devices/platforms such as Amazon, Flipkart, Myntra etc as well providing m...

Gain extensive insights with our Amazon datasets, encompassing detailed product information including pricing, reviews, ratings, brand names, product categories, sellers, ASINs, images, and much more. Ideal for market researchers, data analysts, and eCommerce professionals looking to excel in the competitive online marketplace. Over 425M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Title Asin Main Image Brand Name Description Availability Subcategory Categories Parent Asin Type Product Type Name Model Number Manufacturer Color Size Date First Available Released Model Year Item Model Number Part Number Price Total Reviews Total Ratings Average Rating Features Best Sellers Rank Subcategory Buybox Buybox Seller Id Buybox Is Amazon Images Product URL And more

Explore our extensive Amazon Product Dataset, featuring detailed information on prices, ratings, sales volume, and more.

In 2025, Amazon's brand value increased by 50 percent, standing at 866 billion U.S. dollars. In 2023, the value recorded the only decline since 2015. In general, between 2006 and 2025, the figure had increased over 100-fold. Diversification is key Amazon ranked fourth among the leading brands worldwide in 2025. One of the brand's key growth drivers is its continued diversification of revenue streams. In addition to selling millions of products via its online platform, Amazon also moved beyond the realm of retail by launching the cloud platform Amazon Web Services (AWS), selling ad space, and extending its Prime subscription features. Spotlight on retail brands What makes Amazon stand out from many of the world's most valuable retail brands is its focus on e-commerce and the platform's extensive global availability. While U.S.-based competitors such as Walmart mainly operate in North America, Amazon serves millions of users across the globe. Zooming in on the Asia-Pacific region, the highest-valued retail brand in China was Pinduoduo in 2024.

Key Amazon statistics for 2025 tailored to ecommerce and print-on-demand founders, covering users, revenue growth, Prime reach, seller mix, and mobile demand.

Amazon made $40.2 billion from memberships and subscriptions in 2023.

Comprehensive dataset analyzing Amazon product review counts across categories, including 40 reviews average, category-specific benchmarks, and reviews-to-sales ratios based on analysis of 31,900 brands and 12 million product reviews.

In March 2024, Amazon.com had approximately 2.2 billion combined web visits, up from 2.1 billion visits in February. In the fourth quarter of 2024, Amazon’s net income amounted to approximately 20 billion U.S. dollars. Online retail in the United States Online retail in the United States is constantly growing. In the third quarter of 2023, e-commerce sales accounted for 15.6 percent of retail sales in the United States. During that quarter, U.S. retail e-commerce sales amounted to over 284 billion U.S. dollars. Amazon is the leading online store in the country, in terms of e-commerce net sales. Amazon.com generated around 130 billion U.S. dollars in online sales in 2022. Walmart ranked as the second-biggest online store, with revenues of 52 billion U.S. dollars. The king of Black Friday In 2023, Amazon ranked as U.S. shoppers' favorite place to go shopping during Black Friday, even surpassing in-store purchasing. Nearly six out of ten consumers chose Amazon as the number one place to go find the best Black Friday deals. Similar findings can be observed in the United Kingdom (UK), where Amazon is also ranked as the preferred Black Friday destination.

• 200K+ Seller Leads • Seller Type: Brand/PL Seller, 1P/Amazon Vendor Central and 3P Sellers • Selling Platforms: Amazon USA, UK, EU, CA, AU • C-Suite/Marketing/Sales Contacts • FBA/FBM Sellers • Filter your leads by revenue, categories, location, SKU's and more • 100% manually researched and verified.

For over a decade, we have been manually collecting Amazon seller data from various data sources such as Amazon, LinkedIn, Google, and others. We specialize in getting valid data so you may conduct ads and begin selling without hesitation.

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Data Points Available:

Full Name Linkedin URL Direct Email Generic Phone Number Business Name and Address Company Website Seller IDs and URLs Revenue Seller Review Count Niche FBA/Non-FBA Country and More

License

CC-BY-NC-SA Credit to NovelRank.com for compiling the data and Amazon.com as the data source.

Context

I've been collecting salesrank for authors publishing through Amazon worldwide for almost a decade via the site NovelRank.com. The data is collected as frequently as hourly and as infrequently as once every 24 hours. Over a single year this represents GBs of data. I think this would be a great time to let the Kaggle community play with it.

Content

The earliest data is from Jan 1, 2017. The latest data is from June 29, 2018. Within the 61,000+ unique books, there is roughly a 50/50 split between Kindle Editions and Print Editions. This is critically important because Amazon sales rankings are grouped under the Books umbrella into those two categories. Thus you can have two books in the data set have the same sales rank at the same time if one is in the kindle group and the other is in the book group.

Within the data set there is a small subset of books that have more consistent sales rank collection, specifically they have hourly salesrank collection. *(Future Goal: offer a .zip file of only these ASINs). These titles are tracked by NovelRank Pro users which has the benefit of no throttling to their tracking. Books that don't sell for a while will have tracking throttled to as low as once every 24 hours until a drop in sales rank is detected, thus the variability in most of the data collection timestamps.

Finally, when salesrank has not changed, NovelRank does not record it. In other words, taking the books that have hourly checks mentioned above, if salesrank has not changed, then there would be a gap, possibly 2 hours between the data points or more due to this housekeeping detail. This is true for books that maintain a very good ranking (where it is harder for the book to manage but more likely to occur) as well as for books with a very low ranking.

Sales rank is updated on an hourly basis (at best) by Amazon.

Inspiration

For years I've used salesrank changes to estimate # of sales for authors, which due to inherent flaws in ranking data as a primary source has been better for low volume sellers than high volume sellers. This is aggravated by unreliable data collection to match actual sales to sales rank changes to improve things.

Some of the flaws:

• Purchasing multiple copies of a title in a single order will count as 1 sale in terms of sales rank improvement.
• Sales rank changes due to sales can lag between 3 and 12 hours from the actual sale.
• Sales rankings are unique to the total number of items in the group on that domain and since this is constantly in flux, no singular formula represents a good estimation. Kindle Edition books on Amazon.com will have a much wider range and much greater level of changes than Print Edition books on Amazon.it (Italy) due to group size.

Amazon's annual sales figures showcase an impressive growth over the years, strongly indicating its dominance in the e-commerce industry. Boosted by a diverse range of services and a vast customer base, Amazon's revenue generation is strikingly