40 datasets found
  1. r

    Mobile Commerce Statistics 2024-2025

    • redstagfulfillment.com
    html
    Updated May 19, 2025
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    Red Stag Fulfillment (2025). Mobile Commerce Statistics 2024-2025 [Dataset]. https://redstagfulfillment.com/what-percentage-of-ecommerce-sales-on-mobile-devices/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Red Stag Fulfillment
    Time period covered
    2017 - 2025
    Area covered
    Global and United States
    Variables measured
    Mobile conversion rates, Mobile traffic percentage, Mobile app vs browser usage, Average order value by device, Mobile ecommerce sales percentage
    Description

    Comprehensive dataset of mobile ecommerce statistics including global sales percentages, conversion rates, traffic data, and growth trends from 2017-2025

  2. Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles...

    • datarade.ai
    + more versions
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    Success.ai, Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles | Verified Accuracy | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-market-data-south-east-asia-e-commerce-contacts-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Sri Lanka, Israel, Philippines, Iraq, Timor-Leste, Nepal, Qatar, Yemen, Lebanon, Syrian Arab Republic, South East Asia
    Description

    Success.ai’s Ecommerce Market Data for South-east Asia E-commerce Contacts provides a robust and accurate dataset tailored for businesses and organizations looking to connect with professionals in the fast-growing e-commerce industry across South-east Asia. Covering roles such as e-commerce managers, digital strategists, logistics experts, and online marketplace leaders, this dataset offers verified contact details, professional insights, and actionable market data.

    With access to over 170 million verified profiles globally, Success.ai ensures your outreach, marketing, and research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in one of the world’s most dynamic e-commerce regions.

    Why Choose Success.ai’s Ecommerce Market Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce professionals across South-east Asia.
      • AI-driven validation ensures 99% accuracy, reducing communication inefficiencies and enhancing engagement rates.
    2. Comprehensive Coverage of South-east Asia’s E-commerce Market

      • Includes professionals from key e-commerce hubs such as Singapore, Indonesia, Thailand, Vietnam, Malaysia, and the Philippines.
      • Gain insights into regional consumer trends, logistics challenges, and online marketplace dynamics.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in professional roles, company expansions, and market conditions.
      • Stay aligned with industry trends and emerging opportunities in South-east Asia’s e-commerce sector.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 170M+ Verified Global Profiles: Engage with e-commerce professionals and decision-makers across South-east Asia.
    • Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precision targeting.
    • Regional Insights: Understand key trends in e-commerce, logistics, and consumer preferences in South-east Asia.
    • Leadership Insights: Connect with online marketplace leaders, logistics managers, and digital marketing professionals driving innovation in the sector.

    Key Features of the Dataset:

    1. Comprehensive Professional Profiles in E-commerce

      • Identify and connect with professionals managing e-commerce platforms, online marketplaces, and logistics operations.
      • Target individuals responsible for digital marketing, supply chain management, and e-commerce strategies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (apparel, electronics, food delivery), geographic location, or job function.
      • Tailor campaigns to align with specific business goals, such as logistics optimization, consumer engagement, or market entry.
    3. Regional and Market-specific Insights

      • Leverage data on e-commerce trends, regional consumer behaviors, and logistics challenges unique to South-east Asia.
      • Refine marketing strategies and business plans based on actionable insights from the region.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Digital Outreach

      • Promote e-commerce solutions, logistics services, or online marketing tools to professionals in South-east Asia’s e-commerce industry.
      • Use verified contact data for multi-channel outreach, including email, phone, and digital campaigns.
    2. Market Research and Competitive Analysis

      • Analyze e-commerce trends and consumer preferences across South-east Asia to refine product offerings and marketing strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    3. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce platforms, logistics providers, and digital marketing agencies exploring strategic partnerships.
      • Foster collaborations that enhance consumer experiences, improve delivery efficiency, or expand market reach.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry seeking candidates for logistics, digital marketing, and platform management roles.
      • Provide workforce optimization platforms or training solutions tailored to the sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce market data at competitive prices, ensuring strong ROI for your marketing, sales, and business development initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics ...
  3. Global retail e-commerce sales 2022-2028

    • statista.com
    • abripper.com
    • +1more
    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.

  4. r

    Cyber Monday eCommerce Sales Data 2019-2024

    • redstagfulfillment.com
    html
    Updated Jun 15, 2025
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    Red Stag Fulfillment (2025). Cyber Monday eCommerce Sales Data 2019-2024 [Dataset]. https://redstagfulfillment.com/ecommerce-sales-percentage-on-cyber-monday/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Red Stag Fulfillment
    Time period covered
    2019 - 2024
    Area covered
    United States
    Variables measured
    Holiday Season Share, Mobile Commerce Share, BNPL Transaction Volume, Cyber Monday Sales Volume, Year-over-Year Growth Rate, Annual eCommerce Percentage
    Description

    Comprehensive dataset tracking Cyber Monday sales performance, mobile commerce trends, and percentage share of annual eCommerce from 2019-2024, including growth rates, mobile vs desktop breakdown, and BNPL adoption statistics.

  5. B

    B2C E-commerce Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 31, 2025
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    Archive Market Research (2025). B2C E-commerce Market Report [Dataset]. https://www.archivemarketresearch.com/reports/b2c-e-commerce-market-4843
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    global
    Variables measured
    Market Size
    Description

    The B2C E-commerce Market size was valued at USD 6.23 trillion in 2023 and is projected to reach USD 21.18 trillion by 2032, exhibiting a CAGR of 19.1 % during the forecasts period. The B2C e-commerce can be defined as the sale of commercial products or services through the internet between buyers and sellers. This market pertains to several industries that fall under its fold that includes the area of retail, travelling, electronics and digital products. Some of the most common implementations are in the ecommerce sites, mobile applications, and membership services. Some aspects of the B2C e-commerce market include increased popularity of omnichannel retailing that combines online and offline environments and the shift to the concept of individualization due to the digitalization and data processing using artificial intelligence and machine learning. Also, growth is noted in mobile commerce (m-commerce) as a result of the increase in the number of mobile devices and more effective mobile payments. To this list one should also include the concepts of social commerce and sustainability which also became significant in today’s society due to increasing importance of ethical and convenient shopping. Recent developments include: In March 2024, Blink, an Amazon company, launched the Blink Mini 2 camera. The new compact plug-in camera offers enhanced features such as person detection, a broader field of view, a built-in LED spotlight for night view in color, and improved image quality. The Blink Mini 2 is designed to work indoors and outdoors, with the option to purchase the Blink Weather Resistant Power Adapter for outdoor use. , In October 2023, Flipkart.com introduced the 'Flipkart Commerce Cloud,' a customized suite of AI-driven retail technology solutions for global retailers and e-commerce businesses. This extensive offering includes marketplace technology, retail media solutions, pricing, and inventory management features rigorously assessed by Flipkart.com. The company aims to equip international sellers with reliable and secure tools to enhance business expansion and efficiency within the competitive global market. , In August 2023, Shopify and Amazon.com, Inc. announced a strategic partnership that will allow Shopify merchants to seamlessly implement Amazon's "Buy with Prime" option on their sites. As a result of the agreement, Amazon.com, Inc. Prime customers will enjoy a more efficient checkout process on various platforms. This collaboration allows Amazon Prime members to utilize their existing Amazon payment options, while Shopify will handle the transaction processing through its system, showcasing a partnership between the two leading companies. , In February 2023, eBay acquired 3PM Shield, a developer of AI-powered online retail solutions. 3PM Shield uses machine learning and artificial intelligence to analyze extensive data sets, enhancing marketplace compliance and user experience. This acquisition aligns with eBay's goal to offer a "safe and reliable" platform by boosting its ability to block the sale of counterfeit and prohibited items. By incorporating 3PM Shield's sophisticated monitoring technologies, eBay seeks to enhance its capability to address problematic seller behavior and spot problematic listings, fostering a safer e-commerce space for its worldwide community of sellers and buyers. .

  6. Linear Regression E-commerce Dataset

    • kaggle.com
    zip
    Updated Sep 16, 2019
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    Saurabh Kolawale (2019). Linear Regression E-commerce Dataset [Dataset]. https://www.kaggle.com/datasets/kolawale/focusing-on-mobile-app-or-website
    Explore at:
    zip(44169 bytes)Available download formats
    Dataset updated
    Sep 16, 2019
    Authors
    Saurabh Kolawale
    Description

    This dataset is having data of customers who buys clothes online. The store offers in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.

    The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

  7. ECommerce Data Analysis

    • kaggle.com
    Updated Jan 1, 2024
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    M Mohaiminul Islam (2024). ECommerce Data Analysis [Dataset]. https://www.kaggle.com/datasets/mmohaiminulislam/ecommerce-data-analysis
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    M Mohaiminul Islam
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Objectives:

    • I leveraged advanced data visualization techniques to extract valuable insights from a comprehensive dataset. By visualizing sales patterns, customer behavior, and product trends, I identified key growth opportunities and provided actionable recommendations to optimize business strategies and enhance overall performance. you can find the GitHub repo here Link to GitHub Repository.

    Data Description:

    there are exactly 6 table and 1 is a fact table and the rest of them are dimension tables: Fact Table:

    payment_key:
      Description: An identifier representing the payment transaction associated with the fact.
      Use Case: This key links to a payment dimension table, providing details about the payment method and related information.
    
    customer_key:
      Description: An identifier representing the customer associated with the fact.
      Use Case: This key links to a customer dimension table, providing details about the customer, such as name, address, and other customer-specific information.
    
    time_key:
      Description: An identifier representing the time dimension associated with the fact.
      Use Case: This key links to a time dimension table, providing details about the time of the transaction, such as date, day of the week, and month.
    
    item_key:
      Description: An identifier representing the item or product associated with the fact.
      Use Case: This key links to an item dimension table, providing details about the product, such as category, sub-category, and product name.
    
    store_key:
      Description: An identifier representing the store or location associated with the fact.
      Use Case: This key links to a store dimension table, providing details about the store, such as location, store name, and other store-specific information.
    
    quantity:
      Description: The quantity of items sold or involved in the transaction.
      Use Case: Represents the amount or number of items associated with the transaction.
    
    unit:
      Description: The unit or measurement associated with the quantity (e.g., pieces, kilograms).
      Use Case: Specifies the unit of measurement for the quantity.
    
    unit_price:
      Description: The price per unit of the item.
      Use Case: Represents the cost or price associated with each unit of the item.
    
    total_price:
      Description: The total price of the transaction, calculated as the product of quantity and unit price.
      Use Case: Represents the overall cost or revenue generated by the transaction.
    

    Customer Table: customer_key:

    Description: An identifier representing a unique customer.
    Use Case: Serves as the primary key to link with the fact table, allowing for easy and efficient retrieval of customer-specific information.
    

    name:

    Description: The name of the customer.
    Use Case: Captures the personal or business name of the customer for identification and reference purposes.
    

    contact_no:

    Description: The contact number associated with the customer.
    Use Case: Stores the phone number or contact details for communication or outreach purposes.
    

    nid:

    Description: The National ID (NID) or a unique identification number for the customer.
    

    Item Table: item_key:

    Description: An identifier representing a unique item or product.
    Use Case: Serves as the primary key to link with the fact table, enabling retrieval of detailed information about specific items in transactions.
    

    item_name:

    Description: The name or title of the item.
    Use Case: Captures the descriptive name of the item, providing a recognizable label for the product.
    

    desc:

    Description: A description of the item.
    Use Case: Contains additional details about the item, such as features, specifications, or any relevant information.
    

    unit_price:

    Description: The price per unit of the item.
    Use Case: Represents the cost or price associated with each unit of the item.
    

    man_country:

    Description: The country where the item is manufactured.
    Use Case: Captures the origin or manufacturing location of the item.
    

    supplier:

    Description: The supplier or vendor providing the item.
    Use Case: Stores the name or identifier of the supplier, facilitating tracking of item sources.
    

    unit:

    Description: The unit of measurement associated with the item (e.g., pieces, kilograms).
    

    Store Table: store_key:

    Description: An identifier representing a unique store or location.
    Use Case: Serves as the primary key to link with the fact table, allowing for easy retrieval of information about transactions associated with specific stores.
    

    division:

    Description: The administrative division or region where the store is located.
    Use Case: Captures the broader geographical area in which...
    
  8. Consumer opinions on conversational AI for customer service 2024

    • statista.com
    • tokrwards.com
    • +1more
    Updated Jun 3, 2025
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    Statista Research Department (2025). Consumer opinions on conversational AI for customer service 2024 [Dataset]. https://www.statista.com/topics/871/online-shopping/
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    One of the reasons behind AI-powered customer service is the preference for conversational AI over phone calls. In 2024, 82 percent of consumers stated they would use a chatbot instead of waiting for a customer representative to take their call. An outstanding 96 percent of surveyed shoppers believed that more companies should opt for chatbots over traditional customer support services.

  9. Ecommerce Leads Data | Retail, E-commerce & Consumer Goods Executives...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Ecommerce Leads Data | Retail, E-commerce & Consumer Goods Executives Worldwide | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-leads-data-retail-e-commerce-consumer-goods-ex-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Netherlands, Georgia, Dominica, Bolivia (Plurinational State of), Timor-Leste, Syrian Arab Republic, Guinea-Bissau, Guatemala, Azerbaijan, South Sudan
    Description

    Success.ai’s Ecommerce Leads Data for Retail, E-commerce & Consumer Goods Executives Worldwide delivers a robust and comprehensive dataset designed to help businesses connect with decision-makers and professionals in the global retail and e-commerce sectors. Covering industry leaders, marketing strategists, product managers, and logistics executives, this dataset offers verified contact details, business locations, and decision-maker insights.

    With access to over 700 million verified global profiles and actionable data from retail and consumer goods companies, Success.ai ensures your outreach, market research, and business development initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution equips you to succeed in the competitive e-commerce landscape.

    Why Choose Success.ai’s Ecommerce Leads Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce executives, retail leaders, and consumer goods professionals worldwide.
      • AI-driven validation ensures 99% accuracy, optimizing outreach efforts and minimizing errors in communication.
    2. Comprehensive Global Coverage

      • Includes profiles of professionals from major e-commerce hubs such as North America, Europe, Asia-Pacific, and the Middle East.
      • Gain insights into global trends in online retail, logistics, and consumer goods.
    3. Continuously Updated Datasets

      • Real-time updates capture leadership changes, business expansions, and emerging e-commerce strategies.
      • Stay ahead of industry trends and align your efforts with evolving market conditions.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and compliance with legal standards.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with retail, e-commerce, and consumer goods professionals worldwide.
    • Leadership and Decision-Maker Insights: Engage with C-suite executives, product managers, and logistics leaders driving the e-commerce industry.
    • Verified Contact Details: Access work emails, phone numbers, and business addresses for targeted engagement.
    • Market Intelligence: Gain visibility into e-commerce trends, customer engagement strategies, and emerging technologies.

    Key Features of the Dataset:

    1. Professional Profiles in E-commerce and Retail

      • Identify and connect with decision-makers responsible for product development, logistics, marketing strategies, and digital transformations.
      • Target professionals managing online marketplaces, omnichannel retail strategies, and supply chain efficiencies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (apparel, consumer electronics, food and beverage), geographic location, or job function.
      • Tailor campaigns to address specific market needs such as logistics optimization, digital marketing, or inventory management.
    3. Industry and Regional Insights

      • Leverage data on market trends, consumer preferences, and e-commerce growth across key regions.
      • Align your strategies with regional demands and opportunities to maximize impact.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Lead Generation

      • Design targeted campaigns to promote logistics solutions, digital marketing tools, or consumer goods to professionals in retail and e-commerce.
      • Use verified contact data for multi-channel outreach, including email, phone, and digital marketing.
    2. Product Development and Innovation

      • Utilize e-commerce insights to guide product development and align offerings with global consumer demands.
      • Collaborate with product managers and marketing strategists to refine product lines or launch new initiatives.
    3. Partnership Development and Collaboration

      • Build relationships with e-commerce platforms, logistics providers, and retail brands seeking strategic alliances.
      • Foster partnerships that expand market reach, enhance customer experiences, or improve operational efficiencies.
    4. Market Research and Competitive Analysis

      • Analyze global trends in e-commerce, retail, and consumer goods to refine your business strategies.
      • Benchmark against competitors to identify market gaps, growth opportunities, and emerging technologies.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce leads data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics tools, or marketing pla...
  10. Ecommerce Merchant Data | Global E-commerce Professionals | 170M Verified...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Ecommerce Merchant Data | Global E-commerce Professionals | 170M Verified Profiles | Work Emails & Direct Phone Numbers | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-merchant-data-global-e-commerce-professionals-1-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Bosnia and Herzegovina, Mali, Gabon, Nicaragua, United Arab Emirates, Ghana, Czech Republic, Norfolk Island, Canada, Guadeloupe
    Description

    Success.ai’s Ecommerce Merchant Data and B2B Contact Data for Global E-commerce Professionals provides a comprehensive and highly accurate database from over 170 million verified profiles. Specifically tailored for the e-commerce sector, this dataset features work emails, direct phone numbers, and enriched professional profiles to connect businesses with the leaders and decision-makers shaping the global e-commerce landscape. Continuously updated with advanced AI validation, this resource is ideal for enhancing marketing campaigns, sales initiatives, recruitment efforts, and market research.

    Key Features of Success.ai's Global E-commerce Professional Contact Data

    1. Global Data Coverage Gain access to an extensive database spanning key e-commerce markets worldwide. With verified profiles from 170M+ professionals, Success.ai ensures you can connect with global influencers, decision-makers, and strategists across diverse regions and industries.

    2. AI-Driven Accuracy Harness the power of AI validation for 99% accuracy rates across emails and phone numbers. Our continuously updated dataset ensures that you reach the right professionals with reliable and actionable contact data.

    3. Tailored for E-commerce Professionals Our data includes profiles of experts in online retail, supply chain logistics, payment systems, digital marketing, and e-commerce technology, making it a perfect fit for targeting niche segments within the e-commerce industry.

    4. Customizable Data Delivery Choose from API integrations, custom flat files, or direct database access to seamlessly integrate this dataset into your existing systems, empowering your team with flexibility and efficiency.

    5. Compliance-Ready Data Success.ai ensures all data is collected and processed in alignment with GDPR, CCPA, and other international compliance standards, so you can leverage this resource with confidence and ethical assurance.

    Why Choose Success.ai for Global E-commerce Contact Data?

    • Best Price Guarantee We offer a highly competitive pricing model that ensures the best value for high-quality, actionable data.

    • Strategic Applications Success.ai’s B2B Contact Data supports a variety of business functions:

    E-commerce Marketing Campaigns: Use verified contact information to launch targeted campaigns that reach decision-makers in the e-commerce sector. Sales and Outreach: Enhance your sales strategy with direct access to key players in global e-commerce. Talent Acquisition: Identify and engage with e-commerce professionals for roles in marketing, logistics, technology, and operations. Market Insights: Leverage enriched demographic and firmographic data to conduct in-depth market research and refine your strategies. Business Networking: Build connections with professionals and companies driving innovation in the global e-commerce ecosystem.

    • Technology-Enhanced Solutions Our data delivery is optimized for seamless integration into your systems, including:

    Enrichment API: Real-time updates to maintain the accuracy and relevance of your contact database. Lead Generation API: Maximize outreach efforts with access to key contact information, enabling up to 860,000 API calls per day.

    • Data Highlights 170M+ Verified Global Profiles 50M Direct Phone Numbers 700M Total Professional Profiles Worldwide 70M Verified Company Profiles

    • Use Cases

    1. Enhanced Marketing: Empower your e-commerce marketing strategies with precise email and phone contact details.
    2. Sales Growth: Equip your sales team to connect with top-level executives and decision-makers.
    3. Recruitment Excellence: Source global e-commerce talent efficiently with verified professional profiles.
    4. Customer Understanding: Deepen insights into customer demographics for improved personalization.
    5. Partnership Building: Identify potential collaborators and strengthen relationships with influential industry players.

    Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:

    • AI-Validated Data: Ensures a 99% accuracy rate to drive success in your campaigns. Extensive Reach: Access professionals and companies across key regions in the e-commerce sector.
    • Seamless Integration: Choose the data delivery method that works best for your business needs.
    • Compliance Assurance: Leverage ethically sourced data in adherence to global privacy regulations.

    Transform your e-commerce strategies today with Success.ai. Gain access to reliable, verified contact data for global e-commerce professionals and unlock unparalleled opportunities for growth and innovation.

    No one beats us on price. Period.

  11. r

    Black Friday Ecommerce Sales Data 2019-2024

    • redstagfulfillment.com
    html
    Updated Jun 19, 2025
    + more versions
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    Red Stag Fulfillment (2025). Black Friday Ecommerce Sales Data 2019-2024 [Dataset]. https://redstagfulfillment.com/ecommerce-sales-percentage-on-black-friday/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Red Stag Fulfillment
    Time period covered
    2019 - 2024
    Area covered
    United States
    Variables measured
    Holiday Season Share, BNPL Transaction Volume, Average Spend Per Minute, Black Friday Sales Volume, Mobile Commerce Percentage, Year-over-Year Growth Rate, Annual Ecommerce Percentage
    Description

    Comprehensive dataset tracking Black Friday online sales percentages, growth rates, and market trends from 2019 to 2024, including mobile commerce adoption and payment method statistics.

  12. Ecommerce Merchant Data | Retail Executives Worldwide | Verified Emails &...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Ecommerce Merchant Data | Retail Executives Worldwide | Verified Emails & Phone Numbers for Global Leaders | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/ecommerce-merchant-data-retail-executives-worldwide-verif-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Papua New Guinea, Denmark, Benin, India, Hungary, Sint Eustatius and Saba, Nigeria, Saudi Arabia, Aruba, Faroe Islands
    Description

    Success.ai’s B2B Contact Data and Ecommerce Merchant Data for Retail Executives Worldwide provides a powerful solution for businesses looking to connect with decision-makers in the retail industry. With access to over 170 million verified professional profiles, this dataset includes the contact information you need to build relationships with retail executives globally. Whether you're targeting C-level leaders, operations managers, or marketing heads, Success.ai’s data ensures precise and impactful outreach.

    Why Choose Success.ai’s Retail Executives Data?

    1. Comprehensive Contact Information:
    2. Gain access to verified work emails, direct phone numbers, and LinkedIn profiles of retail executives worldwide.
    3. Data is AI-validated to ensure 99% accuracy for all your outreach efforts.

    4. Global Reach Across Retail Sectors:

    5. Includes executives from sectors like e-commerce, fashion, grocery, electronics, and luxury goods.

    6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

    7. Continuously Updated Datasets:

    8. Real-time updates ensure accurate and current information about retail professionals in leadership roles.

    9. Compliance You Can Trust:

    10. Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring ethical data use.

    Data Highlights: - 170M+ Verified Professional Profiles: Drawn from diverse industries, including retail. - 50M Work Emails: AI-validated for high accuracy and reliability. - 30M Company Profiles: Detailed insights to support targeted campaigns. - 700M Global Professional Profiles: Enriched datasets to meet broad business objectives.

    Key Features of the Dataset: - Retail Decision-Maker Profiles: Includes profiles of CEOs, CFOs, CMOs, buyers, and merchandising directors. - Advanced Filters for Targeting: Refine your search by location, role, revenue, or retail category for optimal results. - AI-Driven Insights: Enriches profiles with valuable data to personalize and enhance your outreach.

    Strategic Use Cases:

    1. Sales Outreach and Business Growth:
    2. Directly engage retail leaders with tailored pitches to introduce your products or services.
    3. Build relationships with executives who influence major purchasing decisions.

    4. Recruitment for Retail Talent:

    5. Identify top retail professionals to fill critical leadership roles.

    6. Connect with candidates using updated and accurate contact information.

    7. Targeted Marketing Campaigns:

    8. Craft highly personalized campaigns aimed at retail decision-makers.

    9. Leverage detailed contact data for better conversion rates.

    10. Retail Technology Solutions:

    11. Present technology solutions like POS systems, inventory tools, or e-commerce platforms to relevant retail executives.

    12. Build connections with leaders looking to innovate their businesses.

    Why Choose Success.ai?

    1. Best Price Guarantee: Access premium-quality contact data at competitive prices.
    2. Seamless Integration: Download the dataset or integrate it via API for easy access.
    3. AI-Validated Accuracy: Confidence in data quality with AI-driven validation for maximum reliability.
    4. Customizable and Scalable Datasets: Filter datasets based on your specific industry, region, or executive role requirements.

    APIs for Enhanced Functionality

    1. Data Enrichment API: Add verified retail executive profiles to your CRM for better targeting.
    2. Lead Generation API: Automate lead generation for retail-focused campaigns.

    Unlock opportunities with B2B Contact Data for Retail Executives Worldwide from Success.ai. This dataset includes verified emails, phone numbers, and decision-maker profiles for leaders in the retail industry.

    With continuously updated data and a Best Price Guarantee, Success.ai ensures you have everything you need to connect with global retail executives effectively. Contact us now to elevate your business with precise and reliable data!

    No one beats us on price. Period.

  13. k

    Points of Sale Transactions and E-Commerce Transactions (Mada Cards)

    • datasource.kapsarc.org
    Updated Oct 1, 2025
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    (2025). Points of Sale Transactions and E-Commerce Transactions (Mada Cards) [Dataset]. https://datasource.kapsarc.org/explore/dataset/pos-transactions/
    Explore at:
    Dataset updated
    Oct 1, 2025
    Description

    Explore the POS transactions dataset in Saudi Arabia, including data on mobile transactions, sales using cards, e-commerce transactions, and more. Analyze the No. of Transactions, Total POS, and Sales in Thousand Saudi Riyals to gain insights into the country's payment trends.

    POS Using Near Field Communication Technology, No. of Mobile Transactions, Total POS, No. of Transactions, Sales Using Cards in Thousand Saudi Riyals, Sales in Thousand Saudi Riyals, Sales Using Mobile in Thousand Saudi Riyals, E-Commerce Transactions Using Mada Cards, No. of Cards Transactions, No. of Points of Sale Terminals, E-Commerce Transactions Using Mada Cards, Sales, Transactions, POS, Money, Bank, SAMA Monthly

    Saudi Arabia Follow data.kapsarc.org for timely data to advance energy economics research..- Sales In Thousand Riyals- End of Period-Including transactions of mada cards through online shopping sites and in-app purchases. It does not include transactions by Visa, MasterCard and other credit cards.

  14. r

    Cyber Monday 2024 Revenue and E-commerce Statistics

    • redstagfulfillment.com
    html
    Updated May 19, 2025
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    Red Stag Fulfillment (2025). Cyber Monday 2024 Revenue and E-commerce Statistics [Dataset]. https://redstagfulfillment.com/how-much-revenue-generated-on-cyber-monday/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Red Stag Fulfillment
    Time period covered
    2014 - 2024
    Area covered
    United States and Global
    Variables measured
    Mobile Commerce Share, Category Performance Growth, Year-over-Year Growth Rates, Average Discount Percentages, U.S. Cyber Monday Sales Revenue, Global Cyber Monday Sales Revenue, Buy-Now-Pay-Later Transaction Volume
    Description

    Comprehensive dataset of Cyber Monday 2024 sales figures, including $13.3B U.S. revenue, $49.7B global sales, mobile commerce data, category performance, and historical growth trends from 2014-2024.

  15. Mobile internet users in Morocco 2010-2029

    • statista.com
    Updated Aug 5, 2025
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    Statista Research Department (2025). Mobile internet users in Morocco 2010-2029 [Dataset]. https://www.statista.com/topics/9376/e-commerce-in-morocco/
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    Dataset updated
    Aug 5, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Morocco
    Description

    The number of smartphone users in Morocco was forecast to continuously increase between 2024 and 2029 by in total 9.9 million users (+35.53 percent). After the eighteenth consecutive increasing year, the smartphone user base is estimated to reach 37.71 million users and therefore a new peak in 2029. Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Tunisia and Algeria.

  16. d

    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/
    Explore at:
    Dataset updated
    May 23, 2022
    Authors
    DataCaptive™
    Area covered
    New Zealand, Australia, Georgia, Norway, United States, Romania, United Kingdom, Sweden, Kuwait, Bahrain
    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

  17. d

    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
    Authors
    DataCaptive™
    Area covered
    Jordan, Georgia, Canada, Spain, Singapore, United Kingdom, Sweden, Bahrain, Finland, France
    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"

  18. Z

    NoSQL Database Market By type (tabular, hosted, key-value store, multi-model...

    • zionmarketresearch.com
    pdf
    Updated Oct 6, 2025
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    Zion Market Research (2025). NoSQL Database Market By type (tabular, hosted, key-value store, multi-model database, object database, tuple store, document store, graph, and multivalue database), By application (e-commerce, social networking, data analytics, data storage, web applications, and mobile applications), By data model (document, graph, column, key value, and multi-model) And By Region: - Global And Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, And Forecasts, 2024-2032 [Dataset]. https://www.zionmarketresearch.com/report/nosql-database-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    NoSQL Database Market was valued at $9.38 Billion in 2023, and is projected to reach $USD 86.48 Billion by 2032, at a CAGR of 28% from 2023 to 2032.

  19. d

    Shopify, Woocommerce Data | Global Shopify Woocommerce Customers | 1.0M+...

    • datarade.ai
    Updated Jan 24, 2024
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    Exellius Systems (2024). Shopify, Woocommerce Data | Global Shopify Woocommerce Customers | 1.0M+ Contacts | (Verified Email, Direct Dials) | Decision Makers | 20+ Attributes [Dataset]. https://datarade.ai/data-products/shopify-data-global-verified-shopify-customers-50m-conta-exellius-systems
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    Exellius Systems
    Area covered
    Suriname, Gabon, Anguilla, Togo, Turkmenistan, Philippines, Iraq, Nicaragua, Qatar, Honduras
    Description
    • Summary: Unlock direct connections with potential customers using our Shopify & Woocommerce Database – a robust collection of 1.5M+ verified contacts. This unique resource provides direct B2B emails and valid phone numbers, enhancing your marketing and sales efforts. Sourced from 10 active publication sites and our dedicated Contact Discovery Team, this database ensures reliability and accuracy.

    • Description: Empower your business with the dynamic capabilities of our Shopify & Woocommerce Database. With over 1.5M+ million verified contacts, this resource is a game-changer. Our commitment to providing direct B2B emails and valid phone numbers sets it apart, enabling you to establish meaningful connections with your audience.

    We take pride in our dual-sourcing strategy. Ten active publication sites continuously feed our databases with real-time information, forming a foundation of reliable data. Additionally, our Contact Discovery Team conducts in-depth research to verify and enhance the accuracy of our database, ensuring you get the most reliable information.

    This versatile database caters to various industries. Marketing teams can fine-tune their campaigns with precision using direct B2B emails and valid phone numbers. Sales teams benefit from enriched customer profiles, while research and analytics teams can delve into market studies and trend analyses. It's a powerful tool for boosting customer engagement and increasing revenue.

    But it's not just a standalone product; it seamlessly integrates into our broader data offerings. While focusing on e-commerce specifics, it complements our wider business and consumer datasets. Whether you prefer targeted insights or a panoramic view, our Shopify Database gives you the flexibility to navigate diverse business landscapes.

    In essence, our Shopify & Woocommerce Database is designed to transform your approach to customer connections. It's more than data; it's a strategic asset that empowers your business to thrive in a dynamic digital landscape. Connect directly, engage meaningfully, and watch your opportunities for growth multiply.

    • Unique Features: Discover the power of our Shopify & Woocommerce Database, packed with 1M+ verified contacts. What makes it special? We provide direct B2B emails and valid phone numbers, making it easy for businesses to connect directly with potential customers. This unique blend of verified contacts and communication channels enhances the effectiveness of your marketing and sales efforts.

    • Data Sources: Wondering where we get our data? We have two main sources. Firstly, we keep tabs on 10 active publication sites, continuously updating our databases with real-time information. Secondly, our dedicated Contact Discovery Team conducts thorough research to make sure the data is accurate. This two-step process ensures our database is reliable and up-to-date.

    • Primary Uses: Our Shopify & Woocommerce Database is versatile and useful across different industries. Marketing teams can target specific audiences with campaigns tailored using direct B2B emails and valid phone numbers. Sales teams benefit from detailed customer profiles, while research and analytics teams can dig into market studies and trend analyses. It's a valuable tool for boosting customer engagement and increasing revenue.

    • Integration with Other Data: This database seamlessly fits into our bigger data offerings. While it focuses on e-commerce, it also complements our broader business and consumer datasets. You can choose customized packages or combine datasets for a complete view, gaining insights across various industries and customer groups. It's not just a standalone product but part of a larger system, giving you the flexibility to navigate different business landscapes.

    In simple terms, our Shopify & Woocommerce Database is here to help businesses connect with verified information, creating opportunities for direct engagement and growth. Whether you're diving into e-commerce details or looking for a broader perspective, this data product ensures you have the tools to understand and connect with your target audience effectively.

  20. m

    NanJi ECommerce Co Ltd - Change-In-Cash

    • macro-rankings.com
    csv, excel
    Updated Jun 18, 2025
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    macro-rankings (2025). NanJi ECommerce Co Ltd - Change-In-Cash [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=002127.SHE&Item=Change-In-Cash
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    china
    Description

    Change-In-Cash Time Series for NanJi ECommerce Co Ltd. NanJi E-Commerce Co., LTD provides brand licensing and comprehensive and mobile Internet marketing services in China. It offers men's, women's, and children's clothing, as well as underwear, bedding, mother and baby, and healthy life clothing products. The company also provides resource integration, data empowerment, research and development design, quality management, and traffic management services. It offers its products under the Antartic, Antartic+, Antartic home, Crocodile, and Classic Teddy brand names. The company was formerly known as Jiangsu Xinmin Textile Science & Technology Co., Ltd. and changed its name to NanJi E-Commerce Co., LTD in March 2016. NanJi E-Commerce Co., LTD was founded in 1998 and is headquartered in Shanghai, China.

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Click to copy link
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Close
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Red Stag Fulfillment (2025). Mobile Commerce Statistics 2024-2025 [Dataset]. https://redstagfulfillment.com/what-percentage-of-ecommerce-sales-on-mobile-devices/

Mobile Commerce Statistics 2024-2025

Explore at:
htmlAvailable download formats
Dataset updated
May 19, 2025
Dataset authored and provided by
Red Stag Fulfillment
Time period covered
2017 - 2025
Area covered
Global and United States
Variables measured
Mobile conversion rates, Mobile traffic percentage, Mobile app vs browser usage, Average order value by device, Mobile ecommerce sales percentage
Description

Comprehensive dataset of mobile ecommerce statistics including global sales percentages, conversion rates, traffic data, and growth trends from 2017-2025

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