In the United States, ** percent of online orders made during Amazon Prime Day 2025 were worth up to ** U.S. dollars, on average. In that edition of the popular online sale event, ** percent of U.S. orders were worth up to *** euros.

In 2023, on Cyber Monday in the United States, shoppers had the highest order values when making purchases from Shein and Walmart at ** U.S. dollars. Target came next, with an AOV of ** dollars, followed by Amazon with ** dollars and Temu with ** dollars.

In the second quarter of 2022, online orders placed from a mobile phone in the United States had an average value of approximately *** U.S. dollars, compared with almost ** dollars in the EMEA region. Over this period, the average value of global online orders generated through direct traffic was about *** U.S. dollars.

In 2022, big e-commerce sites providing Buy Now, Pay Later (BNPL) options could count on higher average online orders (AOV). A worldwide study showed that online stores with annual revenue between *** and *** million U.S. dollars would generate online orders worth nearly *** U.S. dollars when providing BNPL options, compared to under *** U.S. dollars without offering BNPL payment. In addition to that, online stores providing BNPL options reported higher online traffic.

Buy Now, Pay Later on Amazon Prime Day

In the United States, BNPL plays an important role in sales events. The value of purchases made on Amazon on Prime Day increased between 2022 and 2023. In the latest year, shoppers spent *** million U.S. dollars on the first Prime Day and *** million U.S. dollars on day two using BNPL options. This represented nearly a 100 million U.S. dollar increase compared to the previous year.

Buy Now, Pay Later in online shopping

BNPL contributes to the success of several e-commerce formats in the United States. In a 2023 survey, ** percent of shoppers considered BNPL options a leading feature driving sign-ups to retail subscription boxes. In 2022, an even higher number of U.S. shoppers appreciated BNPL services offered in live commerce events, with Gen X consumers being the most enthusiastic about it (** percent).

The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia (Japan) - EMEA (Spain, United Arab Emirates)

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

Amazon Affiliate Marketing Performance Dataset 🛒📊

Overview

This comprehensive dataset provides real-world insights into Amazon Affiliate marketing performance, featuring detailed analytics on user behavior, product conversions, and revenue optimization strategies. Perfect for data scientists, marketing analysts, and e-commerce professionals looking to understand and improve affiliate marketing performance.

🎯 Dataset Highlights

• 500+ comprehensive data points across multiple dimensions
• Real-time tracking of user interactions and conversions
• Multi-device analytics covering desktop, mobile, and tablet users
• Global reach with data from US, Canada, UK, Germany, and Australia
• Comprehensive funnel analysis from awareness to conversion

📁 Dataset Files

1. amazon_affiliate_clicks.csv

User Click Behavior Analytics - 100+ detailed click events with timestamps - Product information (ASIN, title, category, price) - User journey tracking (source page, referrer, UTM parameters) - Device and geographic data - Engagement metrics (scroll depth, time on page)

Key Columns: - click_id, user_id, session_id, timestamp - product_asin, product_title, product_category, product_price - affiliate_link, source_page, device_type, country - click_position, page_scroll_depth, time_on_page_before_click

2. amazon_affiliate_conversions.csv

Purchase Conversion Data - 90+ conversion records with detailed order information - Commission tracking and revenue analytics - Customer segmentation (new vs. returning) - Conversion timing analysis - Payment and shipping preferences

Key Columns: - conversion_id, click_id, user_id, order_id - order_value, commission_rate, commission_earned - conversion_time_hours, customer_type, payment_method - customer_lifetime_value, previous_orders_count

3. amazon_products_catalog.csv

Product Performance Database - 65+ popular Amazon products across multiple categories - Pricing and discount analysis - Review ratings and bestseller rankings - Commission rate structures - Seasonal trend indicators

Key Columns: - product_asin, product_title, brand, category - price, discount_percentage, rating, review_count - commission_rate, bestseller_rank, seasonal_trend

4. user_behavior_analytics.csv

Advanced User Journey Analytics - 140+ session-level behavior tracking records - Page engagement metrics - Conversion funnel analysis - Traffic source attribution - Geographic and demographic insights

Key Columns: - session_id, user_id, page_url, page_type - time_on_page_seconds, scroll_depth_percentage - traffic_source, device_type, conversion_funnel_stage - user_engagement_score, new_vs_returning

🔍 Use Cases & Applications

Marketing Analytics

• Conversion Rate Optimization: Analyze which products and pages drive highest conversions
• Customer Journey Mapping: Track user behavior from first click to purchase
• Attribution Modeling: Understand the impact of different traffic sources
• Seasonal Trend Analysis: Identify peak performance periods for different product categories

Business Intelligence

• Revenue Forecasting: Predict affiliate income based on traffic patterns
• Product Performance: Identify top-performing products and categories
• User Segmentation: Analyze behavior differences between new and returning customers
• Geographic Analysis: Understand regional preferences and conversion rates

Machine Learning Projects

• Predictive Modeling: Build models to predict conversion probability
• Recommendation Systems: Develop product recommendation algorithms
• Churn Analysis: Identify factors that lead to customer retention
• Price Optimization: Analyze the relationship between pricing and conversion rates

📈 Key Insights from the Data

Performance Metrics

• Average Conversion Rate: 15.2% across all product categories
• Top Converting Category: Electronics (18.3% conversion rate)
• Average Order Value: $186.45
• Average Commission Earned: $5.23 per conversion

User Behavior Patterns

• Mobile Traffic: 45% of clicks come from mobile devices
• Peak Engagement: Users spend average 89 seconds on product pages before converting
• Geographic Distribution: 60% US, 20% Canada, 15% UK, 5% Other
• Return Customer Rate: 35% of conversions come from returning customers

Traffic Sources

• Organic Search: 40% of traffic (highest conversion rate at 16.8%)
• Social Media: 35% of traffic (14.2% conversion rate)
• Video Platforms: 15% of traffic (13.9% conversion rate)
• Direct Traffic: 10% of traffic (12.1% conversion rate)

🛠️ Tools & Technologies

This dataset was generated using advanced affiliate marketing...

Online office and school supply sales are stabilizing after a mixed stretch, with revenue in 2025 up 2.0% to $2.2 billion and profit supported by lean digital operations, subscriptions and private labels despite subdued consumer pricing power. Hybrid work remains the sales engine. With more than half of workers splitting time between home and in the office, carts skew toward tech-centric items like wireless printers, ergonomic accessories and cloud-connected tools, while K-12 and university students' spending pivots from paper to interactive devices and webcams. To hold share, category leaders and marketplaces are doubling down on AI recommendations, curated bundles and eco-refill programs that boost conversion and repeat purchase even as average selling prices stay sharp. Industry revenue fell at a 1.6% CAGR over the past five years, as online demand normalized post-pandemic, inflation squeezed budgets and buyers substituted away from traditional stationery to digital alternatives. Despite the drag, the channel's share expanded on the back of broadband ubiquity, one-day delivery, frictionless checkout and push-driven reorders that turned habitual purchases into dependable recurring revenue. A wide product ladder--from value pen packs to premium essentials--kept baskets resilient, while must-have school items like calculators and art supplies anchored seasonality. Rising incomes nudged upgrades to sustainable or higher-quality SKUs at leaders such as Amazon and Staples, lifting average order values. Momentum looks modest but durable over the next five years. Revenue is projected to climb at a 2.1% CAGR to about $2.4 billion in 2030 as consolidation, subscriptions and last-mile reliability widen scale advantages for industry leaders. Formalized loyalty tiers, eco-certified private brands and precisely timed promotions around back-to-school will become more common. With hybrid work entrenched and platform ease of use non-negotiable, office and school supply sales will compound while defending profit through data-driven pricing, denser fulfillment operations and refill subscriptions for inks, paper and notebooks.

Dataset Overview: This dataset compares three major e-commerce companies: Amazon, Alibaba, and eBay, over the decade 2010-2020. It provides insights into sales trends, product availability, user engagement, and other performance metrics. Researchers, analysts, and data enthusiasts can use this dataset for time-series analysis, market comparison, and predictive modeling.

Context: E-commerce has witnessed exponential growth, especially during the last decade. Amazon, Alibaba, and eBay have been key players in shaping the online retail landscape. This dataset serves as a resource to explore how these companies performed in various domains, such as revenue, user base, and product offerings.

Data Description: The dataset contains 12 columns and 6 rows (3 companies across 2 time points: 2010 and 2020).

Column Name Description Year The year the data refers to (2010 or 2020). Company The name of the company (Amazon, Alibaba, or eBay). Total_Sales (USD Billion) Total annual sales/revenue in billion USD. Number_of_Products (Million) The total number of products listed on the platform in millions. Active_Users (Million) Number of active users on the platform (in millions). Market_Share (%) Percentage of the global e-commerce market held by the company. Gross_Margin (%) Gross margin as a percentage of revenue. Operating_Income (%) Operating income as a percentage of revenue. Region_with_Highest_Sales The geographic region where the company had the highest sales (e.g., North America, Asia, Europe). Average_Order_Value (USD) Average monetary value of an order placed on the platform (in USD). Mobile_Transactions (%) Percentage of transactions completed via mobile devices. Number_of_Sellers (Million) Total number of sellers active on the platform (in millions).

Key Insights: Amazon dominates in total sales and market share, with steady growth in the user base and product offerings. Alibaba leads in mobile transactions and seller count, reflecting its focus on mobile-first markets like Asia. eBay maintains strong gross margins but lags in user growth compared to Amazon and Alibaba.

**Potential Uses: **Trend Analysis: Understand how the e-commerce industry evolved during 2010-2020. Market Insights: Compare the performance of Amazon, Alibaba, and eBay. Predictive Modeling: Forecast future trends in e-commerce using regression or machine learning. Visualization: Create graphs and dashboards showcasing the metrics over time.

In 2020, the average sales value per checkout in online shopping of books and e-books in Brazil amounted to ****** Brazilian reals. This represents a decline of around **** percent compared with the ****** real-average recorded a year earlier. It has been estimated that Amazon concentrated half of all online sales of books in Brazil.

The global pharmaceutical e-commerce market is experiencing robust growth, driven by increasing internet penetration, rising smartphone usage, and a preference for convenient healthcare solutions. The market, estimated at $150 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $500 billion by 2033. This expansion is fueled by several key factors. Consumers are increasingly embracing online platforms for purchasing prescription and over-the-counter medications, drawn by the ease of access, price comparisons, and home delivery options. The convenience offered by e-pharmacies is particularly attractive to busy individuals and those in geographically remote areas. Furthermore, the integration of telehealth services with e-commerce platforms is enhancing the overall user experience and driving further market expansion. Technological advancements such as mobile apps and secure online payment systems are also crucial enablers of this growth. However, the market faces certain challenges. Regulatory hurdles vary across different regions, impacting market entry and operational efficiency. Concerns regarding data security and patient privacy also need to be addressed to maintain consumer trust. Competition from established pharmaceutical companies and traditional retail pharmacies is intense, necessitating innovative strategies for market penetration and differentiation. The segment for prescription medicines is expected to dominate the market due to higher average order values, but growth in the over-the-counter segment will also be significant driven by convenience and ease of access. Regional variations in market size reflect differing levels of technological adoption, healthcare infrastructure, and regulatory frameworks. North America and Europe are currently leading the market, but the Asia Pacific region shows significant potential for future growth given its large and rapidly expanding population.

Walmart topped the ranking of shopping apps with the most active monthly users in the United States in 2021, with an average of *** million users accessing the app each month. Second place went to Amazon's app, with a monthly mobile audience of ** million.

Mobile shopping in the U.S. Shopping via mobile devices has become increasingly common among the online population in the United States. In 2022, U.S. mobile retail sales are estimated at over *** billion U.S. dollars, nearly double the amount reached in 2019. While desktop remained the dominant device type regarding average order value, spending on mobile phones was not far behind. However, mobile apps have become the leading channel for online grocery shopping in the U.S., with nearly ** percent of shoppers making such purchases through this medium in 2021.

App exposure With more than ** million downloads, Amazon Shopping was the most downloaded shopping app on the U.S. Apple App Store in 2021. Online shopping assistant app 'Shop' took the lead on the Google Play Store with over ** million downloads. Still, Walmart Shopping & Grocery and Amazon Shopping remained the leading shopping apps overall in the country, boasting over ** billion registered user sessions each, far above other top apps within this category.

The trade of wild meat in urban markets has become a controversial topic because despite the economic returns it can generate for local communities, it can cause a dramatic increase in harvest rates of game species. The trade of wild meat could be a very accessible and low-cost method to monitor the regional game populations. Nevertheless, the wild meat trade is difficult to monitor because this is an illegal activity and vendors often distrust researchers. In this study, we used two long-term monitoring datasets collected in one of the most important and largest open markets in wildlife in the Amazon, in Iquitos (Peru), to estimate the minimum effort required to obtain reliable information on the amount and trends of wild meat trade. Two 12-month surveys were conducted in the Belén Market between September 2006 and August 2007 (2,443 interviews in 182 sampling days), and between September 2017 and August 2018 (2,081 interviews in 138 sampling days). The data submited in page "interviews year-along" includes the price and the amount of total wild meat, and volume (in kg) of meat of Tayassu pecari -white-lipped peccary-, Cuniculus paca -paca-, Pecari tajacu -collared pecari-, and Mazama sp. -brocket deer- sold in each interview day. In October 2018, at the end of the survey of 2017-2018, we conducted an interview directly to the eleven most frequent wild meat sellers in order to obtain their personal perception on the average price and daily amount of wild meat sold year-along. This information is included in the page "Single questionary".

In 2024, Amazon was the online marketplace with the highest gross merchandise value in the United States, amounting to approximately *** billion U.S. dollars. It was followed by Walmart, with a GMV of roughly *** billion U.S. dollars. Amazon: the U.S.’s clear favorite While Amazon might not be the leading online marketplace worldwide, it is the front-runner in the United States. As of April 2023, Amazon dominated the list of leading online marketplaces in the U.S. based on number of monthly visits, with over *** billion website visitors. Regarding the market share of leading retail e-commerce companies, Amazon was also in the lead with over ** percent difference from the next competitor, Walmart. Even when it comes to holiday shopping, consumers favor Amazon. Nearly ** percent of consumers stated that they prefer the online marketplace for their holiday shopping needs over other websites. A prime day for shopping Consumer purchasing behavior often relies on shopping events that occur throughout the year. Amazon incurs the largest increase of sales during Black Friday, which is followed by Prime Day, an event exclusively for Amazons’ Prime members. Consumers often plan their shopping around this event, due to the deals offered to Prime members. In 2023, most shoppers planned on purchasing electronics, at almost ** percent of consumers. The most purchased items on Prime Day, however, fell into the category of home goods, with around ** percent of shoppers, and only around ** percent of shoppers purchased electronics. In general, the average value of Prime Day orders was worth up to ** U.S. dollars, with ** percent of orders.

As of the fourth quarter of 2022, mobile commerce spending in the United States made up ** percent of overall digital spending, a record high since the fourth quarter of 2017, when mobile commerce only made up ** percent of the overall digital spending in the country.

The top countries for mobile commerce

The quick development of the online shopping market has allowed buyers, retailers, and manufacturers to break down physical distances between one another on an unprecedented level. With smartphones being so prevalent around the world, this, of course encompasses mobile commerce. In the United Kingdom, nearly ***** in *** shoppers made online purchases with their smartphones in 2022. Globally, South Korean consumers took the lead when it came to frequent m-commerce purchases that year, with ** percent of their internet users making purchases via mobile on a weekly basis.

How much to spend and where to spend it

Throughout all regions, desktops generally had the highest average online order value (AOV) for purchases, when compared to mobile devices. In the U.S. mobile phones had an AOV of about *** U.S. dollars, while in Europe, the Middle East, and Africa, the mobile AOV was around ** dollars. For U.S. Americans, when it came to which singular app consumers could be most likely to spend this money on, the Amazon app came out on top. The renowned e-commerce giant’s mobile app had nearly ** million downloads in 2022. The SHEIN app ranked second with almost ** million.

This statistic presents the average basket value on retail e-commerce websites in France during the *******************. It reveals that an online shopper in France spent on average *** euros per order on fashion websites. Amazon is the most visited e-commerce website in France.

A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.