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TwitterComprehensive dataset of mobile ecommerce statistics including global sales percentages, conversion rates, traffic data, and growth trends from 2017-2025
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A curated dataset of 2025 ecommerce statistics: share of retail, buyer totals & weekly shopping behavior, top categories & markets, payment mix, mobile share, and cart abandonment.
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TwitterThis 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.
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TwitterSuccess.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
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.
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.
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.
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.
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.
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
Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:
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.
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TwitterOne 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.
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TwitterSuccess.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?
Verified Contact Data for Precision Outreach
Comprehensive Coverage of South-east Asia’s E-commerce Market
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles in E-commerce
Advanced Filters for Precision Campaigns
Regional and Market-specific Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Digital Outreach
Market Research and Competitive Analysis
Partnership Development and Vendor Collaboration
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
• 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.
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...
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TwitterComprehensive 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.
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TwitterIn 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.
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TwitterCart abandonment rates have been climbing steadily since 2014, after reaching an all-time high in 2013. In 2023, the share of online shopping carts that is being abandoned reached 70 percent for the first time since 2013. This is an increase of more than 10 percentage points compared to the start of the time period considered here. Mobiles vs. desktops When global consumers shop online, they spend considerably more when doing so on desktop computers. In December 2023, the average value of e-commerce purchases made through desktops was approximately 159 U.S. dollars. Purchases completed on mobiles and tablets were of comparable values, ranging between 100 and 105 U.S. dollars. Even though consumers spent more when conducting their shopping on computers, they were more inclined to add products to their shopping carts when using mobile devices. Ultimately, mobile devices provide a convenient and more accessible way to shop, but desktop computers remain the preferred choice for more expensive purchases. Where do consumers shop online? Across the globe, digital marketplaces are shoppers’ number-one online shopping destination. As of April 2024, some 29 percent of consumers voted marketplaces as their favorite e-commerce channel, followed by physical stores and retailer sites. Looking at which retailers’ global shoppers prefer to shop at, amazon.com emerged as the world's most popular online marketplace, based on share of visits. The U.S. portal accounted for around one-fifth of the global online marketplace's traffic in December 2023. Amazon's German and Japanese portal sites ranked third and fifth among the leading online marketplaces, further demonstrating Amazon's dominance over the market.
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TwitterRevolutionize Customer Engagement with Our Comprehensive Ecommerce Data
Our Ecommerce Data is designed to elevate your customer engagement strategies, providing you with unparalleled insights and precision targeting capabilities. With over 61 million global contacts, this dataset goes beyond conventional data, offering a unique blend of shopping cart links, business emails, phone numbers, and LinkedIn profiles. This comprehensive approach ensures that your marketing strategies are not just effective but also highly personalized, enabling you to connect with your audience on a deeper level.
What Makes Our Ecommerce Data Stand Out?
Unique Features for Enhanced Targeting
Our Ecommerce Data is distinguished by its depth and precision. Unlike many other datasets, it includes shopping cart links—a rare and valuable feature that provides you with direct insights into consumer behavior and purchasing intent. This information allows you to tailor your marketing efforts with unprecedented accuracy. Additionally, the integration of business emails, phone numbers, and LinkedIn profiles adds multiple layers to traditional contact data, enriching your understanding of clients and enabling more personalized engagement.
Robust and Reliable Data Sourcing
We pride ourselves on our dual-sourcing strategy that ensures the highest levels of data accuracy and relevance:
Primary Use Cases Across Industries
Our Ecommerce Data is versatile and can be leveraged across various industries for multiple applications: - Precision Targeting in Marketing: Create personalized marketing campaigns based on detailed shopping cart activities, ensuring that your outreach resonates with individual customer preferences. - Sales Enrichment: Sales teams can benefit from enriched client profiles that include comprehensive contact information, enabling them to connect with key decision-makers more effectively. - Market Research and Analytics: Research and analytics departments can use this data for in-depth market studies and trend analyses, gaining valuable insights into consumer behavior and market dynamics.
Global Coverage for Comprehensive Engagement
Our Ecommerce Data spans across the globe, providing you with extensive reach and the ability to engage with customers in diverse regions: - North America: United States, Canada, Mexico - Europe: United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, and more - Asia: China, Japan, India, South Korea, Singapore, Malaysia, and more - South America: Brazil, Argentina, Chile, Colombia, and more - Africa: South Africa, Nigeria, Kenya, Egypt, and more - Australia and Oceania: Australia, New Zealand - Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, and more
Comprehensive Employee and Revenue Size Information
Our dataset also includes detailed information on: - Employee Size: Whether you’re targeting small businesses or large corporations, our data covers all employee sizes, from startups to global enterprises. - Revenue Size: Gain insights into companies across various revenue brackets, enabling you to segment the market more effectively and target your efforts where they will have the most impact.
Seamless Integration into Broader Data Offerings
Our Ecommerce Data is not just a standalone product; it is a critical piece of our broader data ecosystem. It seamlessly integrates with our comprehensive suite of business and consumer datasets, offering you a holistic approach to data-driven decision-making: - Tailored Packages: Choose customized data packages that meet your specific business needs, combining Ecommerce Data with other relevant datasets for a complete view of your market. - Holistic Insights: Whether you are looking for industry-specific details or a broader market overview, our integrated data solutions provide you with the insights necessary to stay ahead of the competition and make informed business decisions.
Elevate Your Business Decisions with Our Ecommerce Data
In essence, our Ecommerce Data is more than just a collection of contacts—it’s a strategic tool designed to give you a competitive edge in understanding and engaging your target audience. By leveraging the power of this comprehensive dataset, you can elevate your business decisions, enhance customer interactions, and navigate the digital landscape with confidence and insight.
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TwitterAPISCRAPY specializes in Ecommerce data, offering a comprehensive solution for gathering Ecommerce market data, Ecommerce product data, and Ecommerce datasets. APISCRAPY is your go-to resource for making informed decisions in the Ecommerce landscape.
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TwitterComprehensive 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.
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TwitterSuccess.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?
Verified Contact Data for Precision Outreach
Comprehensive Global Coverage
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Professional Profiles in E-commerce and Retail
Advanced Filters for Precision Campaigns
Industry and Regional Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Lead Generation
Product Development and Innovation
Partnership Development and Collaboration
Market Research and Competitive Analysis
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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TwitterComprehensive dataset of Cyber Monday 2024 online sales performance including $13.3 billion U.S. revenue, 64.4 million online shoppers, mobile commerce trends, category performance, and historical comparison data from 2019-2024. Includes global sales figures, payment method adoption, and fulfillment metrics.
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Twitterhttps://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
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. .
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TwitterComprehensive dataset tracking Black Friday online sales percentages, growth rates, and market trends from 2019 to 2024, including mobile commerce adoption and payment method statistics.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Gathering a comprehensive dataset of mobile phones from Flipkart using web scraping. Retrieve mobile names, prices, and camera specifications, enabling data-driven insights. Automate data collection across multiple pages, transforming raw data into actionable information. Uncover trends and make informed decisions with the extracted data. This Python script leverages libraries like requests and BeautifulSoup for seamless extraction. Customize and adapt the code for various e-commerce scraping needs. Embrace the power of data by effortlessly scraping Flipkart's mobile listings, enhancing your analysis and decision-making processes.
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TwitterExplore 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.
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TwitterSuccess.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?
Data is AI-validated to ensure 99% accuracy for all your outreach efforts.
Global Reach Across Retail Sectors:
Includes executives from sectors like e-commerce, fashion, grocery, electronics, and luxury goods.
Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.
Continuously Updated Datasets:
Real-time updates ensure accurate and current information about retail professionals in leadership roles.
Compliance You Can Trust:
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:
Build relationships with executives who influence major purchasing decisions.
Recruitment for Retail Talent:
Identify top retail professionals to fill critical leadership roles.
Connect with candidates using updated and accurate contact information.
Targeted Marketing Campaigns:
Craft highly personalized campaigns aimed at retail decision-makers.
Leverage detailed contact data for better conversion rates.
Retail Technology Solutions:
Present technology solutions like POS systems, inventory tools, or e-commerce platforms to relevant retail executives.
Build connections with leaders looking to innovate their businesses.
Why Choose Success.ai?
APIs for Enhanced Functionality
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.
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TwitterComprehensive dataset of mobile ecommerce statistics including global sales percentages, conversion rates, traffic data, and growth trends from 2017-2025