51 datasets found
  1. d

    Walmart Ecommerce Reviews & Ratings Data

    • datarade.ai
    .json, .csv
    Updated Apr 21, 2021
    + more versions
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    Unwrangle (2021). Walmart Ecommerce Reviews & Ratings Data [Dataset]. https://datarade.ai/data-products/customer-reviews-for-products-on-walmart-unwrangle
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Apr 21, 2021
    Dataset authored and provided by
    Unwrangle
    Area covered
    United States of America
    Description
    • Don't worry about solving CAPTCHAs, rotating proxies or installing headless browsers
    • No need to update scrapers with every minor or major website layout or design change
    • Simple pricing, pay per successful result only. Say goodbye to being charged for failed requests.

    • Filter results by number of reviews, date

    • Review data includes meta data about customers such as avatar, location, profile url, etc.

    • Get page meta data like product price information, rating distribution, etc.

  2. Display of recently viewed products on fashion e-commerce sites in Australia...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Display of recently viewed products on fashion e-commerce sites in Australia 2021 [Dataset]. https://www.statista.com/statistics/1269531/australia-recently-viewed-products-on-e-commerce-sites/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 10, 2021 - Jun 22, 2021
    Area covered
    Australia
    Description

    In 2021, a review of the online browsing experience on e-commerce fashion sites showed that ** percent of the websites surveyed did not have a recently viewed products function. overall just ** percent of the websites has recently viewed product data on more than one page.

  3. d

    DataWeave: Digital Shelf Analytics - Ecommerce Store Data

    • datarade.ai
    Updated Jul 13, 2020
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    DataWeave (2020). DataWeave: Digital Shelf Analytics - Ecommerce Store Data [Dataset]. https://datarade.ai/data-products/digital-shelf-analytics
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    Dataset updated
    Jul 13, 2020
    Dataset authored and provided by
    DataWeave
    Area covered
    Benin, Malaysia, Grenada, Curaçao, Netherlands, Iran (Islamic Republic of), Sint Eustatius and Saba, Philippines, Switzerland, Finland
    Description

    Boost your Share of Search and Share of Category on online marketplaces to drive more traffic to your brand. Audit and enhance your catalog content to be on par with industry best practices and improve conversion rates. Track and improve your product availability and pricing across retailers, even at a store-level. Unearth customer sentiment on your products and its features via AI-powered analysis of product reviews.

  4. Purchase Real-Time eCommerce Leads List | Gain Direct Access to Store Owners...

    • datacaptive.com
    Updated May 23, 2022
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    DataCaptive™ (2022). Purchase Real-Time eCommerce Leads List | Gain Direct Access to Store Owners | 40+ Data Points | Lifetime Access | DataCaptive [Dataset]. https://www.datacaptive.com/technology-users-email-list/ecommerce-company-data/
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    Dataset updated
    May 23, 2022
    Dataset provided by
    DataCaptive
    Authors
    DataCaptive™
    Area covered
    Jordan, France, Bahrain, Spain, United Kingdom, Sweden, Finland, Singapore, Georgia, Canada
    Description

    Unlock the door to business expansion by investing in our real-time eCommerce leads list. Gain direct access to store owners and make informed decisions with data fields including Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

    Ensure a lifetime of access for continuous growth and tailor your campaigns with accurate and reliable information, initiating targeted efforts that align with your marketing goals. Whether you're targeting specific industries or global locations, our database provides up-to-date and valuable insights to support your business journey.

    • 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data

  5. Premium eCommerce Leads | Target Shopify, Amazon, eBay Stores | Verified...

    • datacaptive.com
    Updated May 23, 2022
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    DataCaptive™ (2022). Premium eCommerce Leads | Target Shopify, Amazon, eBay Stores | Verified Owner Contacts | DataCaptive [Dataset]. https://www.datacaptive.com/technology-users-email-list/ecommerce-company-data/
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset provided by
    DataCaptive
    Authors
    DataCaptive™
    Area covered
    Netherlands, Bahrain, Mexico, Germany, Norway, Romania, Spain, Belgium, Switzerland, United Arab Emirates
    Description

    Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

    With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

    • 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

  6. Brazilian E-Commerce Public Dataset by Olist

    • kaggle.com
    zip
    Updated Oct 1, 2021
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    Olist (2021). Brazilian E-Commerce Public Dataset by Olist [Dataset]. https://www.kaggle.com/olistbr/brazilian-ecommerce
    Explore at:
    zip(44717580 bytes)Available download formats
    Dataset updated
    Oct 1, 2021
    Dataset provided by
    Olist Serviços Digitais Ltda
    Authors
    Olist
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Brazilian E-Commerce Public Dataset by Olist

    Welcome! This is a Brazilian ecommerce public dataset of orders made at Olist Store. The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allows viewing an order from multiple dimensions: from order status, price, payment and freight performance to customer location, product attributes and finally reviews written by customers. We also released a geolocation dataset that relates Brazilian zip codes to lat/lng coordinates.

    This is real commercial data, it has been anonymised, and references to the companies and partners in the review text have been replaced with the names of Game of Thrones great houses.

    Join it With the Marketing Funnel by Olist

    We have also released a Marketing Funnel Dataset. You may join both datasets and see an order from Marketing perspective now!

    Instructions on joining are available on this Kernel.

    Context

    This dataset was generously provided by Olist, the largest department store in Brazilian marketplaces. Olist connects small businesses from all over Brazil to channels without hassle and with a single contract. Those merchants are able to sell their products through the Olist Store and ship them directly to the customers using Olist logistics partners. See more on our website: www.olist.com

    After a customer purchases the product from Olist Store a seller gets notified to fulfill that order. Once the customer receives the product, or the estimated delivery date is due, the customer gets a satisfaction survey by email where he can give a note for the purchase experience and write down some comments.

    Attention

    1. An order might have multiple items.
    2. Each item might be fulfilled by a distinct seller.
    3. All text identifying stores and partners where replaced by the names of Game of Thrones great houses.

    Example of a product listing on a marketplace

    https://i.imgur.com/JuJMns1.png" alt="Example of a product listing on a marketplace">

    Data Schema

    The data is divided in multiple datasets for better understanding and organization. Please refer to the following data schema when working with it: https://i.imgur.com/HRhd2Y0.png" alt="Data Schema">

    Classified Dataset

    We had previously released a classified dataset, but we removed it at Version 6. We intend to release it again as a new dataset with a new data schema. While we don't finish it, you may use the classified dataset available at the Version 5 or previous.

    Inspiration

    Here are some inspiration for possible outcomes from this dataset.

    NLP:
    This dataset offers a supreme environment to parse out the reviews text through its multiple dimensions.

    Clustering:
    Some customers didn't write a review. But why are they happy or mad?

    Sales Prediction:
    With purchase date information you'll be able to predict future sales.

    Delivery Performance:
    You will also be able to work through delivery performance and find ways to optimize delivery times.

    Product Quality:
    Enjoy yourself discovering the products categories that are more prone to customer insatisfaction.

    Feature Engineering:
    Create features from this rich dataset or attach some external public information to it.

    Acknowledgements

    Thanks to Olist for releasing this dataset.

  7. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    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.

  8. Use of online reviews before and after shopping in France 2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Use of online reviews before and after shopping in France 2024 [Dataset]. https://www.statista.com/statistics/1116437/customer-reviews-shopping-experience-quality-france/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 28, 2023 - Jan 16, 2024
    Area covered
    France
    Description

    A survey carried out in France between 2023 and 2024 showed that ** percent of shoppers leave online reviews after a purchase and ** percent of them read product reviews before shopping online. Reviews are less relevant in the in-store experience, as only ** percent of shoppers considered them before purchasing offline.

  9. S

    Global Ecommerce Website Platform Market Historical Impact Review 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Ecommerce Website Platform Market Historical Impact Review 2025-2032 [Dataset]. https://www.statsndata.org/report/global-98186
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Authors
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Ecommerce Website Platform market has emerged as a crucial component in the digital economy, catering to the needs of businesses seeking to establish an online presence. With the rapid growth of online shopping, these platforms provide comprehensive solutions for retailers, enabling them to create, manage, and s

  10. Types of information procured by U.S. consumers via smartphone vs in-store...

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Types of information procured by U.S. consumers via smartphone vs in-store 2019 [Dataset]. https://www.statista.com/statistics/1046672/information-us-internet-users-look-for-on-smartphone-vs-store-associate-2019/
    Explore at:
    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2019
    Area covered
    United States
    Description

    Based on a March 2019 survey of adult internet users in the United States, a majority of shoppers go directly on their smartphones for information instead of consulting store associates. During the survey period, it was found that 69 percent of respondents stated that they would look for reviews on their smartphones prior to speaking with an employee.

  11. Biggest online retailers in the U.S. 2023, by market share

    • statista.com
    Updated Apr 22, 2025
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    Statista (2025). Biggest online retailers in the U.S. 2023, by market share [Dataset]. https://www.statista.com/statistics/274255/market-share-of-the-leading-retailers-in-us-e-commerce/
    Explore at:
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023
    Area covered
    United States
    Description

    According to estimates, Amazon claimed the top spot among online retailers in the United States in 2023, capturing 37.6 percent of the market. Second place was occupied by the e-commerce site of the retail chain Walmart, with a 6.4 percent market share, followed in third place by Apple, with 3.6 percent.

    Amazon’s continued success

    Amazon has long dominated the e-commerce market as the world’s favorite online marketplace. In 2022, company hit over half a trillion U.S. dollars in net sales. The United States is by far Amazon’s most profitable market, as the U.S. branch generated over 356 billion U.S. dollars in sales in 2022. Germany ranked second, with 33 billion dollars, followed closely by the United Kingdom with 30 billion dollars.

    Online shopping on the rise

    Online shopping has grown significantly over the past decade, with more people turning to the internet for their shopping needs. The proof is in the numbers: the U.S. e-commerce industry was worth almost a trillion dollars in 2023. By 2027, forecasts show that the online market will grow to more than 50 percent. U.S. online shoppers purchase fashion and food and beverages the most via the internet.

  12. Leading e-commerce sites in SEA 2025, by monthly web sessions

    • statista.com
    Updated Jul 8, 2025
    + more versions
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    Statista (2025). Leading e-commerce sites in SEA 2025, by monthly web sessions [Dataset]. https://www.statista.com/statistics/1348827/sea-leading-e-commerce-sites-by-monthly-web-sessions/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025 - Mar 2025
    Area covered
    APAC, Asia
    Description

    In 2025, Sea Limited's Shopee, a Singaporean technology company, was the leading e-commerce website in Southeast Asia, with average monthly web sessions of *** million. This was followed by Lazada, which is owned by the Chinese Alibaba Group, and Tokopedia, owned by an Indonesian technology company. The rise of Shopee Online shopping usage in Southeast Asia has been on a steadily increasing during the past few years, partly driven by the COVID-19 pandemic beginning in 2020. Digital services accelerated after the pandemic, which helped Shopee accumulate a gross merchandise value of over ** billion U.S. dollars. While it is a Singaporean company, most web visits to Shopee were generated from users in Indonesia and Vietnam, reflecting the high internet user penetration in these countries and the shifting shopping behavior of a new generation. The new ways of commerce Many consumers already indulge in online shopping on websites, but new shopping experiences are making their way into the region. Live commerce and social commerce have become a trend in Southeast Asia, encouraging consumers to indulge in shopping while browsing social media or watching livestream videos. With current trends emerging, Shopee also expanded its platform for live commerce usage and became the second most popular platform to watch live commerce in Southeast Asia, after TikTok. Consumers in the region liked to watch live commerce content because of the good deals it offered, as well as real-time product reviews. Livestreams allow consumers to interact with streamers or other buyers for a more interactive shopping experience, drawing in a wide array of consumers.

  13. c

    Apple iPhone SE reviews & ratings Dataset

    • cubig.ai
    Updated Feb 25, 2025
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    CUBIG (2025). Apple iPhone SE reviews & ratings Dataset [Dataset]. https://cubig.ai/store/products/143/apple-iphone-se-reviews-ratings-dataset
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data introduction • Apple-iphone-se-reviews dataset is a dataset that scrapes data from the Flipkart website using Selenium and BeautifulSoup links.

    2) Data utilization (1)Apple-iphone-se-reviews data has characteristics that: • User ratings for Apple iPhone SE on Indian e-commerce website Flipkart are . We aim at NLP text classification through user ratings, review titles, and review text. (2)Apple-iphone-se-reviews data can be used to: • Rating prediction: You can support automated review analysis and summarization by developing machine learning models to predict ratings based on review text. • Product Improvement: Insights gained from reviews can help us identify common issues and areas for improvement in iPhone SE and guide product development and quality improvements.

  14. Product Comparison Website Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Product Comparison Website Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-product-comparison-website-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Product Comparison Website Market Outlook



    The global product comparison website market size was valued at approximately USD 4.5 billion in 2023 and is expected to reach USD 9.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% during the forecast period. This remarkable growth can be attributed primarily to the increasing reliance of consumers and businesses on digital platforms for making informed purchasing decisions. With the rise of e-commerce, there is a growing need for platforms that can offer comprehensive comparisons of products and services, thus enabling consumers to make better choices. The market's expansion is further fueled by technological advancements, the proliferation of internet connectivity, and the rising trend of digitalization across various sectors.



    The surge in e-commerce activities worldwide is a major growth driver for the product comparison website market. As more consumers turn to online shopping for convenience, the role of comparison websites becomes crucial in helping them choose products that best fit their needs and budgets. These platforms not only aid in price comparison but also provide detailed insights into product features, reviews, and ratings, thereby empowering consumers with all the necessary information to make well-informed purchases. Additionally, businesses leverage these platforms to monitor competitive pricing strategies, optimize their offerings, and improve customer engagement, further driving the demand for comparison websites.



    Technological advancements, particularly in artificial intelligence and machine learning, are significantly contributing to the market's growth. AI-powered algorithms enable these platforms to offer personalized suggestions, improve accuracy in product matching, and enhance user experience through intuitive interfaces. Furthermore, the integration of advanced analytics allows these platforms to process vast amounts of data efficiently, providing users with real-time updates on price changes, product availability, and consumer trends. This technological edge ensures that comparison websites remain relevant and valuable tools for consumers and businesses alike.



    Another critical growth factor is the increasing internet penetration and smartphone adoption globally. With more people getting connected to the internet and using smartphones, access to comparison platforms has become seamless. Mobile applications, in particular, have made it easier for users to compare products on-the-go, thus driving the market's expansion. This trend is especially prominent in emerging markets where mobile internet usage is rapidly growing, offering significant opportunities for market players to tap into a vast pool of potential users who are increasingly relying on digital platforms for their shopping needs.



    Competitor Price Monitoring is a crucial aspect for businesses leveraging product comparison websites. By keeping a close watch on competitor pricing strategies, businesses can dynamically adjust their own prices to maintain competitiveness in the market. This not only helps in attracting price-sensitive consumers but also aids in retaining existing customers by offering them the best possible deals. Furthermore, competitor price monitoring allows businesses to identify pricing trends and patterns, enabling them to anticipate market shifts and respond proactively. In an era where consumers have access to a plethora of options, staying ahead of the competition through effective price monitoring can significantly enhance a company's market position and profitability.



    Regionally, North America holds a significant share in the product comparison website market due to the high adoption rate of digital technologies and the presence of several key players. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by the rapidly expanding e-commerce sector and increasing internet user base. Additionally, Europe remains a lucrative market with a strong emphasis on online retail, while Latin America and the Middle East & Africa present emerging opportunities with growing digitalization trends and consumer awareness.



    Type Analysis



    In the product comparison website market, the type segment plays a pivotal role, encompassing price comparison, feature comparison, and review-based comparison. Price comparison remains the most popular type, as consumers are increasingly cost-conscious and see

  15. c

    Amazon Sales Dataset

    • cubig.ai
    Updated May 28, 2025
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    CUBIG (2025). Amazon Sales Dataset [Dataset]. https://cubig.ai/store/products/309/amazon-sales-dataset
    Explore at:
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    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.

  16. Egypt Total Online Stores by Platform

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Egypt Total Online Stores by Platform [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/eg
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Egypt
    Description

    In Egypt, the distribution of stores across different platforms presents a dynamic picture of the market. WooCommerce, as a leading platform, hosts 4.86K stores, accounting for 38.01% of the total store count in the region. This is closely followed by Shopify, which supports 4.81K stores, representing 37.67% of the region's total. Custom Cart makes a significant contribution with 933 stores, or 7.30% of the total. The chart underscores the diversity and preferences of store owners in Egypt regarding their choice of platform.

  17. Egypt Online Stores App Spend by Industry

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Egypt Online Stores App Spend by Industry [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/eg
    Explore at:
    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Egypt
    Description

    The pie chart showcases the distribution of app/software spending by store category in Egypt, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Apparel exhibits the highest spending, with a total expenditure of $1.39M units representing 38.88% of the overall spending. Following closely behind is Home & Garden with a spend of $459.95K units, comprising 12.89% of the total. Beauty & Fitness also contributes significantly with a spend of $329.68K units, accounting for 9.24% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

  18. eCommerce Statistics in Malaysia 2025

    • aftership.com
    pdf
    Updated Jan 31, 2024
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    AfterShip (2024). eCommerce Statistics in Malaysia 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/my
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 31, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Discover the latest eCommerce statistics in Malaysia for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Malaysia, uncovering the distribution of stores across categories and platforms.

  19. Egypt Online Stores Monthly Sales by Industry

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Egypt Online Stores Monthly Sales by Industry [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/eg
    Explore at:
    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Egypt
    Description

    In Egypt, the estimated sales amount across various store categories provides key insights into the market's dynamics. Food & Drink, as a prominent category, generates significant sales, totaling $264.60M, which is 0.49% of the region's total sales in this sector. Mass Merchants & Department Stores follows with robust sales figures, achieving $263.60M in sales and comprising 0.48% of the region's total. Health contributes a considerable amount to the regional market, with sales of $112.35M, accounting for 0.21% of the total sales in Egypt. This breakdown highlights the varying economic impacts of different categories within the region, showcasing the diversity and strengths of each sector.

  20. ACSI - U.S. customer satisfaction with Amazon.com 2025

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). ACSI - U.S. customer satisfaction with Amazon.com 2025 [Dataset]. https://www.statista.com/statistics/185788/us-customer-satisfaction-with-amazon/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

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Unwrangle (2021). Walmart Ecommerce Reviews & Ratings Data [Dataset]. https://datarade.ai/data-products/customer-reviews-for-products-on-walmart-unwrangle

Walmart Ecommerce Reviews & Ratings Data

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.json, .csvAvailable download formats
Dataset updated
Apr 21, 2021
Dataset authored and provided by
Unwrangle
Area covered
United States of America
Description
  • Don't worry about solving CAPTCHAs, rotating proxies or installing headless browsers
  • No need to update scrapers with every minor or major website layout or design change
  • Simple pricing, pay per successful result only. Say goodbye to being charged for failed requests.

  • Filter results by number of reviews, date

  • Review data includes meta data about customers such as avatar, location, profile url, etc.

  • Get page meta data like product price information, rating distribution, etc.

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