In late 2020, Hispanic and African American consumers each accounted for nearly a tenth all Amazon retail spending in the United States. Meanwhile, white consumers led the list, representing over ** percent of the e-commerce platform's consumer spending share.

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,...

This statistic gives information on the global number of active Amazon customer accounts as of the first quarter of 2016. As of the last reported period, Amazon had *** million active customers. Amazon is one of the leading online retail platforms worldwide, offered users not only a global shopping experience but many value-added services.

In fact, the many benefits of the Amazon Prime membership are among the main reasons for users in the United States to join in the annual subscription service. For the majority of users, the free 2-day shipping is the main attraction, but many users also appreciate digital services such as the unlimited instant streaming of video and audio content across many platforms, as well as exclusive promotions and discounts. In July 2015, Amazon celebrated its 20th anniversary by offering flash sales for Amazon Prime customers worldwide – a solid marketing tactic, as ** percent of internet users in the United States were living in a household with an Amazon Prime subscription as of December 2015. Prime users are also especially active Amazon customers, with a higher spending average than non-Prime users. U.S. affluents are also particularly likely to have an Amazon Prime subscription – as of January 2016, almost half of affluents in the United States were Amazon Prime members.

In 2015, Amazon's annual net revenues amounted to over *** billion U.S. dollars, marking its most successful financial year yet. The majority of revenue was generated via the sales of electronics and other products, with media and Amazon Web Services slowly increasing in business volume in recent years.

Dataset

This dataset was created by Harsh Soni

Contents

In the United Kingdom (UK), data from November 2024 based on geolocalized users showed that more than half of Amazon's mobile audience comprises people aged between 25 and 34. Younger adults from 18 to 24 years old account for the second-biggest group of mobile users in the UK, with nearly ** percent.

Do you want to learn more about your brand's audience? Or perhaps you competitors?

With our Amazon User Profile API, you can get a list of verified past purchases of any user on Amazon with their profile URL. Our Online Reviews API can be used to extract customer reviews for any product on Amazon, including the author's profile URL. These URLs can in turn be used to retrieve some of the past purchases of these reviewers and can give you a clearer picture of the preferences of your target audience.

This data can be used to track customer loyalty and target audience for any brand that distributes using internet retail.

Amazon Prime was rolled out in India in July 2016 and within a year, India became its largest and fastest-growing market. As of **********, there were over ** million unique male visitors that accessed the platform via mobile devices. Out of this, a majority of visitors fell in the 25 to 34 year old age demographic, pointing out Amazon's popularity amongst young adults in the country.

Amazon Prime’s growth is what has been most impressive. They have managed to convert millions of customers into loyal subscribers at a very fast rate.

According to the latest Amazon Prime statistics, about 81% of US internet users aged 18 to 34 have a paid Amazon Prime membership.

This dataset contains longitudinal purchases data from 5027 Amazon.com users in the US, spanning 2018 through 2022: amazon-purchases.csv It also includes demographic data and other consumer level variables for each user with data in the dataset. These consumer level variables were collected through an online survey and are included in survey.csv fields.csv describes the columns in the survey.csv file, where fields/survey columns correspond to survey questions. The dataset also contains the survey instrument used to collect the data. More details about the survey questions and possible responses, and the format in which they were presented can be found by viewing the survey instrument. A 'Survey ResponseID' column is present in both the amazon-purchases.csv and survey.csv files. It links a user's survey responses to their Amazon.com purchases. The 'Survey ResponseID' was randomly generated at the time of data collection. amazon-purchases.csv Each row in this file corresponds to an Amazon order. Each such row has the following columns: Survey ResponseID Order date Shipping address state Purchase price per unit Quantity ASIN/ISBN (Product Code) Title Category The data were exported by the Amazon users from Amazon.com and shared by users with their informed consent. PII and other information not listed above were stripped from the data. This processing occurred on users' machines before sharing with researchers.

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

In the United States, consumers aged over 65 represented the biggest demographic group (** percent) of Amazon Prime services, a survey from 2025 revealed. ** percent of Amazon Prime subscribers were 55 to 64 years old.

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

The American Customer Satisfaction Index (ACSI) score of the e-commerce website of Amazon.com has fluctuated since 2000. In 2025, the customer satisfaction score of the online retailer was 83 out of 100 ASCI points. Popularity contest Amazon is one of the most popular marketplaces worldwide. In April 2024, the U.S. domain for Amazon ranked the most visited e-commerce and shopping website by share of online visits, with around 13 percent. Ebay came in second with roughly three percent of the visit share, and the Japanese site amazon.co.jp came in third with 2.66 percent. In the same month, global online shoppers visited amazon.com around 2.2 billion times. Why Amazon? Amazon.com is the most used e-commerce website in the world, and in the U.S., the website is far ahead of its competitors. With a significant difference in website visitors of almost 45 percent, ebay.com is second to amazon.com. Furthermore, the retail giant Walmart trails behind with an online visit share of roughly six percent. Amazon is used for various reasons by its customers. For example, the online marketplace is ranked as the leading platform for product research in the U.S., surpassing even search engines in popularity. Low shipping costs, fast deliveries, and affordable product prices are the main reasons for shopping on Amazon.

Comprehensive demographic dataset for Amazon, Eugene, OR, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About the Dataset:

Amazon is one of the biggest online retailers in the UK. With this dataset, you can get an in-depth idea of what products sell best, which SEO titles generate the most sales, the best price range for a product in a given category, and much more.

It took a lot of time and energy to prepare this original dataset, so don't forget to hit the upvote button! 😊💝

Similar Datasets:

Amazon Canada Products

Amazon India Products

Amazon USA Products

Interesting Task Ideas:

1. Uncover trending product categories and their sales performance.
2. Analyze customer ratings to find top-rated products.
3. Train a product title generator that can generate sales-worthy product titles based on products with the most sales.
4. Gain insight into the best price for any given product based on sales data and competition.
5. Identify which niches are the easiest to make sales in.
6. Gain insights into the general spending habits of online shoppers.
7. Use as a seed dataset for practicing database management and performance optimization.
8. Train (or learn to train) an AI-based search model to recommend Amazon products.

Checkout my other datasets

USA Unemployment Rates by Demographics & Race

USA Hispanic-White Wage Gap Dataset

Median and Avg Hourly Wages in the USA

Health Insurance Coverage in the USA

Black-White Wage Gap in the USA Dataset

Photo by Canonicalized

Comprehensive demographic dataset for Crocker Amazon, San Francisco, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions through online and physical stores in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS). Its products offered through its stores include merchandise and content purchased for resale; and products offered by third-party sellers The company also manufactures and sells electronic devices, including Kindle, Fire tablets, Fire TVs, Rings, Blink, eero, and Echo; and develops and produces media content. In addition, it offers programs that enable sellers to sell their products in its stores; and programs that allow authors, musicians, filmmakers, Twitch streamers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, analytics, machine learning, and other services, as well as fulfillment, advertising, and digital content subscriptions. Additionally, it offers Amazon Prime, a membership program. The company serves consumers, sellers, developers, enterprises, content creators, and advertisers. Amazon.com, Inc. was incorporated in 1994 and is headquartered in Seattle, Washington.

This dataset contains meticulously cleaned and structured web traffic data collected across multiple websites, including Amazon platforms and services like Amazon Prime, AWS, and AWS Support. It spans various traffic sources, user devices, key actions, and engagement metrics, making it a powerful resource for digital marketing analysis, customer behavior modeling, and time series forecasting.

Ideal for:

Web traffic analysis Conversion rate optimization Bounce rate analysis User segmentation Predictive modeling and machine learning 📌 Dataset Features: Rows: 2006 Columns: 18

Date Range: Starts from January 1st, 2019 (Exact end date can be inferred from the dataset)

🔍 Columns Overview: Country: Country of user origin

Timestamp: Full timestamp of the visit Device Category: Type of device (Desktop, Mobile, Tablet) Key Actions: User actions like Purchase, Sign Up, Subscribe Page Path: Visited page (e.g., /home, /contact) Source: Traffic source (e.g., organic search, social media) Avg Session Duration: Duration of session in seconds Bounce Rate: % of single-page sessions Conversions: Number of conversions New Users: Number of new users in session Page Views: Total page views Returning Users: Count of returning users Unique Page Views: Unique page views Average time on home page (min): Self-explanatory Website: Name of the specific Amazon service or domain Date, Time, Day: Parsed date and time information

📊 Potential Use Cases: Machine Learning: Predicting bounce rate, conversion likelihood, or segmenting user behavior. Business Intelligence: Dashboards for performance analysis by device, source, or day. Time Series Forecasting: Analyze traffic patterns over time. A/B Testing: Benchmarking traffic changes across page paths or traffic sources.

Comprehensive dataset analyzing Amazon's daily website visits, traffic patterns, seasonal trends, and comparative analysis with other ecommerce platforms based on May 2025 data.