100+ datasets found
  1. 4

    Survey Data on E-customer Relationship Scale

    • data.4tu.nl
    zip
    Updated Nov 8, 2024
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    Emmanuel Paulino (2024). Survey Data on E-customer Relationship Scale [Dataset]. http://doi.org/10.4121/2b789f11-a369-4726-9078-0ce40b61874b.v1
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    zipAvailable download formats
    Dataset updated
    Nov 8, 2024
    Dataset provided by
    4TU.ResearchData
    Authors
    Emmanuel Paulino
    License

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

    Time period covered
    Aug 7, 2024 - Oct 21, 2024
    Description

    The dataset contains 1,462 entries and 22 columns, primarily capturing responses from a survey about e-customer relationships in e-commerce. Key demographic information includes age and sex, alongside questions on e-commerce usage patterns, such as daily app usage time and weekly purchase frequency.


    The survey assesses factors influencing customer decisions, including the impact of e-commerce promotions (vouchers, coupons, flash sales), app usability, order processing speed, logistics ease, and customer service responsiveness. Further columns explore trust in sellers, the importance of regular order updates, perceived product quality, pricing competitiveness compared to physical stores, and the influence of social media advertisements and famous ambassadors. Additionally, participants rated their confidence in flagship stores, consideration of online shop ratings, and tendency to purchase from well-reviewed stores. Each response is rated on a scale, reflecting the importance of various factors in their e-commerce shopping behaviors.

  2. E-commerce shoppers mobile audience share in the U.S. 2023, by age

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). E-commerce shoppers mobile audience share in the U.S. 2023, by age [Dataset]. https://www.statista.com/statistics/1343467/ecommerce-shoppers-mobile-audience-united-states-age/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2023
    Area covered
    United States
    Description

    In March of 2023, the largest share of e-commerce shoppers in the United States consisted of adults aged 18 to 24 (**** percent), based on geolocated mobile user data. Adults between the ages of 25 and 34 made up almost ** percent of the e-commerce shopper mobile audience in the country.

  3. d

    US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct...

    • datarade.ai
    Updated Jun 13, 2025
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    Giant Partners (2025). US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct Dials Accuracy [Dataset]. https://datarade.ai/data-products/consumer-business-data-postal-phone-email-demographics-giant-partners
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

  4. E-commerce as share of total retail sales worldwide 2019-2029

    • statista.com
    Updated Jun 2, 2025
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    Statista (2025). E-commerce as share of total retail sales worldwide 2019-2029 [Dataset]. https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Internet sales have played an increasingly significant role in retailing. In 2024, e-commerce accounted for over ** percent of retail sales worldwide. Forecasts indicate that by 2029, the online segment will make up close to over ** percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************** U.S. dollars, a figure expected to exceed **** trillion U.S. dollars by 2028. Digital development in Latin America boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the region. So much so that Brazil and Argentina appear to lead the world's fastest-growing online retail markets. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditioe-comernal fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The average order value of online shopping via smartphones and tablets still lags traditional e-commerce via desktop computers. However, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2021, Malaysia was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. South Korea, Taiwan, and the Philippines completed the top of the ranking.

  5. E Commerce Solutions Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). E Commerce Solutions Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/e-commerce-solutions-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    E-Commerce Solutions Market Outlook



    The global e-commerce solutions market size was valued at $40.2 billion in 2023 and is projected to reach $110.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.7% during the forecast period. This substantial growth can be attributed to several factors, including increased internet penetration, the surge in smartphone usage, and the rising preference for online shopping across various demographics. These key drivers are expected to significantly influence the market's trajectory, making it one of the most lucrative sectors in the digital economy.



    One of the primary growth factors for the e-commerce solutions market is the increasing internet penetration and the widespread adoption of smartphones. As more people gain access to the internet, the potential customer base for e-commerce businesses expands, leading to higher demand for comprehensive e-commerce solutions. Additionally, the convenience and accessibility offered by mobile devices have made online shopping a preferred choice for many consumers. The proliferation of mobile apps and responsive websites has further fueled this trend, enabling businesses to reach their customers anytime and anywhere.



    Another significant driver of market growth is the evolving consumer behavior and the shift towards digitalization. Modern consumers expect seamless and personalized shopping experiences, which has led to the adoption of advanced e-commerce solutions that offer features such as AI-driven recommendations, personalized marketing, and efficient supply chain management. Moreover, the COVID-19 pandemic has accelerated the digital transformation, compelling even traditional brick-and-mortar businesses to establish an online presence to survive and thrive in the competitive market landscape. This urgency for digital adoption has provided a significant boost to the e-commerce solutions market.



    The growing importance of data analytics and the role of big data in enhancing customer experience and operational efficiency are also contributing to the market's expansion. E-commerce solutions equipped with advanced analytics capabilities enable businesses to gather valuable insights into customer behavior, preferences, and purchasing patterns. These insights facilitate more informed decision-making and help businesses tailor their offerings to meet the specific needs of their target audience. Consequently, the integration of data analytics within e-commerce platforms is becoming increasingly essential for businesses aiming to stay competitive and drive growth.



    From a regional perspective, North America and Asia Pacific are expected to dominate the e-commerce solutions market. North America, with its technologically advanced infrastructure and high internet penetration, continues to be a major market for e-commerce solutions. Meanwhile, the Asia Pacific region is witnessing rapid growth due to the expanding middle class, increasing disposable incomes, and a burgeoning number of online shoppers. Countries such as China and India are emerging as key players in the e-commerce landscape, further propelling the regional market growth. Europe, Latin America, and the Middle East & Africa are also experiencing notable growth, driven by the increasing adoption of digital technologies and the rising trend of online shopping.



    Live E-commerce is emerging as a transformative trend within the e-commerce landscape, offering a dynamic and interactive shopping experience that bridges the gap between online and offline retail. By integrating live streaming technology with e-commerce platforms, businesses can engage with customers in real-time, showcasing products, answering queries, and providing personalized recommendations. This innovative approach not only enhances customer engagement but also builds trust and authenticity, as consumers can see products in action and interact with sellers directly. As the demand for immersive shopping experiences grows, live e-commerce is poised to become a significant driver of growth in the e-commerce solutions market, offering new opportunities for businesses to connect with their audience and drive sales.



    Component Analysis



    In the e-commerce solutions market, the component segment is divided into software and services. The software component includes various platforms and applications that facilitate online transactions, manage customer data, and streamline business operations. These software solutions are essential

  6. Trust and Trends in Jakarta's E-commerce: Decoding Gen Z's Shopping Habits

    • zenodo.org
    Updated Jan 25, 2025
    + more versions
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    Erwin Halim; Erwin Halim (2025). Trust and Trends in Jakarta's E-commerce: Decoding Gen Z's Shopping Habits [Dataset]. http://doi.org/10.5281/zenodo.14737446
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    Dataset updated
    Jan 25, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Erwin Halim; Erwin Halim
    License

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

    Time period covered
    Jan 25, 2025
    Area covered
    Jakarta
    Description

    Abstract — The evolution of e-commerce has significantly transformed consumer behavior, particularly among Generation Z in Jakarta. This study examines the combined impact of e-commerce trends and trust on the shopping habits of this demographic. With a focus on social media engagement, platform usability, and perceived trustworthiness, the research identifies critical factors influencing purchase decisions. Using data from Jakarta-based respondents and analyzed through Smart-PLS, this study offers actionable insights for businesses targeting Generation Z’s unique preferences and expectations.

  7. Cross Border B2C E Commerce Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Cross Border B2C E Commerce Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/cross-border-b2c-e-commerce-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Cross Border B2C E-Commerce Market Outlook



    The global Cross Border B2C E-Commerce market size is projected to grow from $900 billion in 2023 to $2.3 trillion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 11%. This growth is driven by the expanding internet penetration, increasing consumer preference for online shopping, and advancements in payment and logistics infrastructure.

    The primary growth factor for this market is the proliferation of internet and smartphone usage, which has revolutionized the way consumers shop. With increasing internet penetration and the widespread availability of affordable smartphones, more people are accessing online platforms to purchase goods and services from international markets. Additionally, improvements in digital payment methods, such as the use of digital wallets and secure online payment gateways, have made cross-border transactions more seamless and secure, further boosting consumer confidence in international e-commerce.

    Another significant growth factor is the rise of social media and digital marketing, which has enabled businesses to reach a global audience more effectively. Social media platforms like Instagram, Facebook, and TikTok have become powerful marketing tools that allow brands to target specific demographics and regions with tailored advertising. This has not only increased brand awareness but has also facilitated direct engagement with consumers, leading to higher conversion rates and increased sales in the cross-border B2C e-commerce market.

    Additionally, the advancements in logistics and supply chain management have played a crucial role in the growth of this market. Innovations such as real-time tracking, faster shipping options, and efficient return policies have enhanced the overall shopping experience for consumers. Companies are investing heavily in logistics infrastructure to ensure timely and cost-effective delivery of products across borders, thereby improving customer satisfaction and driving repeat purchases.

    From a regional perspective, Asia Pacific is expected to dominate the cross-border B2C e-commerce market during the forecast period. The region's large population, growing middle class, and increasing disposable income levels are key factors contributing to this growth. Countries like China, India, and Japan are witnessing significant e-commerce growth due to favorable government policies, improved internet connectivity, and a burgeoning tech-savvy population. North America and Europe are also substantial markets, driven by advanced digital infrastructure and high consumer spending power.

    Product Category Analysis



    The apparel and accessories segment holds a significant share in the cross-border B2C e-commerce market. The increasing demand for international fashion brands and the availability of a wide range of products online have contributed to the growth of this segment. Consumers are attracted to the unique styles, higher quality, and exclusive collections offered by international brands. Moreover, the presence of large online fashion retailers and marketplaces, such as ASOS and Zalando, has made it easier for consumers to purchase apparel and accessories from different countries. Additionally, the convenience of comparing prices and reading reviews online has further fueled the growth of this segment.

    Consumer electronics is another major segment in the cross-border B2C e-commerce market. The demand for the latest gadgets and electronic devices has driven consumers to shop from international online stores where these products are often available at competitive prices. The segment has benefited from the continuous innovation in electronics, with consumers eager to purchase the newest smartphones, laptops, and smart home devices. The availability of detailed product descriptions, customer reviews, and warranty options online has also enhanced consumer confidence in purchasing electronics from international platforms.

    The personal care and beauty segment is experiencing rapid growth due to the rising popularity of international beauty brands and skincare products. Consumers are increasingly seeking high-quality and innovative beauty products that may not be available in their local markets. The influence of beauty bloggers and social media influencers has also played a significant role in promoting international beauty brands. Additionally, the convenience of online tutorials and reviews has made it easier for consumers to choose the right products, encouraging them to shop from international e-commerce platforms.

    Food and beverage is another growing segment in the cross-border B2C e-commerce market. The demand for specialty

  8. d

    Data from: National impacts of e-commerce growth: Development of a spatial...

    • search.dataone.org
    • rosap.ntl.bts.gov
    • +2more
    Updated Nov 29, 2023
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    Ivan Xiao (2023). National impacts of e-commerce growth: Development of a spatial demand based tool [Dataset]. http://doi.org/10.25338/B89H0F
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    Dataset updated
    Nov 29, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Ivan Xiao
    Time period covered
    Aug 18, 2022
    Description

    This project aims to study the impacts of e-commerce on shopping behaviors and related externalities. The objectives are divided into five major tasks in this project. Methods used include Weighted Multinomial Logit (WMNL) models, time series forecasting, and Monte Carlo (MC) simulations. The American Time Use Survey (ATUS) and the National Household Travel Survey (NHTS) databases are used for identifying the independent and dependent variables for behavioral modeling. At the same time, we collected all MSA population data from the U.S. Census Bureau and combined the shares of each variable from ATUS to generate a synthesized population, which serves as input into the MC simulation framework together with the behavioral model. This simulation framework includes the generation of shopping travel parameters and the calculation of negative externalities. We do this to estimate e-commerce demand and impacts every decade until 2050. The results and analyses provide information that supports ..., The tasks of this project employ different combinations of methods to enable the prediction of e-commerce shopping behaviors for each MSA of interest at the individual level as well as the quantitative calculation of externalities. Methods used include Weighted Multinomial Logit (WMNL) models, time series forecasting, and Monte Carlo (MC) simulations, which are utilized throughout Task 1 to Task 5. In Task 1, we mainly build and validate the WMNL behavior models for different MSAs with specific sets of model coefficients that can be used to predict shopping behavior for a synthesized population. In the WMNL mode, the dependent variable with totally four categories, namely “No shopping†, “In-store shopping†, “Online shopping†and “Both shopping†. The results of the WMNL models vary across MSAs, as reflected by the fact that different coefficients of variables are positive in some MSAs and negative in others. In general, however, female, high education, low to moderate age group, and not..., These data are from multiple sources in order to support the project titled “National Impacts of E-commerce Growth: Development of a Spatial Demand Based Tool†, funded by the National Center for Sustainable Transportation (NCST). The purpose of this project is to study the impacts of e-commerce on consumers’ shopping behaviors and the related externalities. Methods used include Weighted Multinomial Logit (WMNL) models, time series forecasting, and Monte Carlo (MC) simulations. This project makes use of three primary datasets: 1. American Time Use Survey (ATUS) The project uses the 2004-2020 ATUS data to analyze shopping behaviors. The use of ATUS data is mainly for specifying shopping behavior models and extracting variables for the six chosen metropolitan areas. The ATUS data can be accessed at: https://timeuse.ipums.org/ 2. National Household Travel Survey (NHTS) The project uses the 2009 and 2017 NHTS data, which are based on trip-based surveys, to extract shopping travel paramete...

  9. Second-Hand E-commerce Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Second-Hand E-commerce Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-second-hand-e-commerce-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Second-Hand E-commerce Market Outlook



    In 2023, the global second-hand e-commerce market size was valued at approximately USD 40 billion and is projected to reach USD 120 billion by 2032, growing at a robust CAGR of 12%. This market is experiencing rapid growth, driven by increasing consumer demand for sustainable shopping options and cost-effective purchasing alternatives. The combination of growing environmental consciousness and advancements in online shopping platforms has facilitated this remarkable surge in market size, making second-hand e-commerce a rapidly evolving sector within the digital economy.



    One of the primary growth factors of the second-hand e-commerce market is the increasing consumer awareness of environmental sustainability. The fashion industry, for instance, is one of the largest polluters globally, and consumers are becoming more conscious of the environmental impact of their purchasing habits. By opting for second-hand goods, consumers can reduce waste and promote reuse, significantly decreasing their carbon footprint. This mindset shift towards sustainability and ethical consumption is driving the adoption of second-hand e-commerce platforms.



    Another significant growth driver is the economic advantage that second-hand goods offer. In times of economic uncertainty or financial constraint, consumers are more inclined to seek cost-effective alternatives to new products. Second-hand e-commerce platforms provide access to high-quality goods at a fraction of the original price, making them an attractive option for budget-conscious shoppers. The affordability factor is particularly appealing to younger demographics, such as students and young professionals, who are often more financially constrained yet tech-savvy and environmentally aware.



    Technological advancements and the proliferation of online marketplaces have also propelled the growth of the second-hand e-commerce market. The rise of mobile apps and user-friendly websites has made it easier for consumers to buy and sell used items. Features like secure payment options, detailed product descriptions, and buyer-seller communication tools have enhanced the overall user experience, fostering trust and reliability in second-hand transactions. Additionally, the integration of artificial intelligence and machine learning for personalized recommendations and fraud detection has further streamlined the second-hand shopping experience.



    Regionally, North America and Europe are leading the second-hand e-commerce market due to their advanced digital infrastructure and high levels of environmental awareness among consumers. However, the Asia Pacific region is emerging as a significant growth area, driven by a large population base, rapid urbanization, and increasing internet penetration. Countries like China and India are witnessing a surge in the adoption of second-hand e-commerce platforms as consumers seek more affordable and diverse shopping options. The growing middle-class population and increasing disposable incomes in these regions are also contributing to market growth.



    Product Type Analysis



    The second-hand e-commerce market can be segmented by product type, with categories including apparel, electronics, furniture, books, and others. Apparel is a particularly dominant segment given the fast-fashion industry's environmental impact and the high demand for affordable clothing. Consumers are increasingly turning to second-hand marketplaces to find unique fashion items at lower prices while contributing to sustainability efforts. The rise of vintage fashion trends and eco-conscious fashion influencers have also amplified the appeal of second-hand apparel, making it a substantial segment within the market.



    Electronics is another significant segment in the second-hand e-commerce market. The rapid pace of technological advancement often renders electronic devices obsolete within short periods, prompting consumers to seek affordable alternatives to the latest models. Second-hand electronic goods, including smartphones, laptops, and gaming consoles, offer consumers the latest technology at reduced prices. The reliability and longevity of well-maintained electronics also encourage consumers to opt for second-hand options, particularly when they come with warranties or return policies offered by reputable platforms.



    Furniture is also a growing segment in the second-hand e-commerce market, driven by the increasing popularity of DIY home decor and vintage aesthetics. Consumers are seeking unique and cost-effective pieces to furnish their homes, making second-h

  10. Envestnet | Yodlee's De-Identified Retail Sales Data | Row/Aggregate Level |...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Retail Sales Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-retail-sales-data-row-ag-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Envestnethttp://envestnet.com/
    Yodlee
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Retail Sales Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  11. Market size of e-commerce in Luxembourg 2012-2019

    • ai-chatbox.pro
    • statista.com
    Updated Feb 23, 2024
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    Koen van Gelder (2024). Market size of e-commerce in Luxembourg 2012-2019 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F8867%2Fcross-border-e-commerce-in-the-benelux%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Feb 23, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Koen van Gelder
    Area covered
    Luxembourg
    Description

    How much do consumers in Luxembourg spend on online shopping? In 2018, online sales were valued at 797 million euros, an increase of around ten percent in comparison to the previous year. It was forecast that the retail e-commerce market would increase further to nearly 870 million euros in 2019. That year, the population of the Grand Duchy was around 602,000.

    Luxembourg’s online behavior is difficult to measure…

    Probably because of the country’s relatively small size, it is rarely covered by European e-commerce reports or surveys. Adding to the difficulty of measuring the impact of e-commerce in the Grand Duchy is that its consumers seemingly tend to buy from foreign online stores. Roughly 59 percent of Luxembourgish respondents said in 2018 they bought goods online from a website in Germany, with 19 percent saying they did this but from a web shop in France. This might be because foreign nationals, including French, German, and especially Portuguese, make up a large part of Luxembourg’s population.

    … but consumers do buy certain products online

    Despite these difficulties, data seems to suggest that some product categories are popular online buys in the country. Goods and services that are commonly bought or ordered online consisted of, for example, books, holiday arrangements and tickets for movies or events. Over 40 percent of Luxembourgish individuals said to have purchased clothes and sports goods at least once in 2018.

  12. c

    Consumer Behavior and Shopping Habits Dataset:

    • cubig.ai
    Updated May 28, 2025
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    CUBIG (2025). Consumer Behavior and Shopping Habits Dataset: [Dataset]. https://cubig.ai/store/products/352/consumer-behavior-and-shopping-habits-dataset
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    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 Consumer Behavior and Shopping Habits Dataset is a tabular collection of customer demographics, purchase history, product preferences, shopping frequency, and online and offline purchasing behavior.

    2) Data Utilization (1) Consumer Behavior and Shopping Habits Dataset has characteristics that: • Each row contains detailed consumer and transaction information such as customer ID, age, gender, purchased goods and categories, purchase amount, region, product attributes (size, color, season), review rating, subscription status, delivery method, discount/promotion usage, payment method, purchase frequency, etc. • Data is organized to cover a variety of variables and purchasing patterns to help segment customers, establish marketing strategies, analyze product preferences, and more. (2) Consumer Behavior and Shopping Habits Dataset can be used to: • Customer Segmentation and Target Marketing: You can analyze demographics and purchasing patterns to define different customer groups and use them to develop customized marketing strategies. • Product and service improvement: Based on purchase history, review ratings, discount/promotional responses, etc., it can be applied to product and service improvements such as identifying popular products, managing inventory, and analyzing promotion effects.

  13. d

    Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US...

    • datarade.ai
    .csv, .xls
    + more versions
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    Consumer Edge, Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel [Dataset]. https://datarade.ai/data-products/consumer-edge-vision-demographic-spending-data-b2c-audience-consumer-edge
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States
    Description

    Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

    Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

    Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

    This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

    Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

    Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

    Use Case: Demographics Analysis

    Problem A global retailer wants to understand company performance by age group.

    Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

    Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

    Corporate researchers and consumer insights teams use CE Vision for:

    Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

    Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

    Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

    Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

    Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

    Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

    Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

  14. E-commerce revenue in Poland 2017-2029

    • statista.com
    • ai-chatbox.pro
    Updated Jun 19, 2025
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    Statista (2025). E-commerce revenue in Poland 2017-2029 [Dataset]. https://www.statista.com/statistics/960912/poland-e-commerce-revenue/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    E-commerce revenue in Poland is expected to grow to nearly **** billion U.S. dollars in 2029. Statista’s  Digital Market Outlook offers forecasts, detailed market insights and essential performance indicators of the most significant areas in the Digital Economy, including various digital goods and services. Alongside revenue forecasts for Online shopping in Poland  ** percent of the Polish population is shopping in online shops. Online shoppers generally have an excellent reputation for shopping online, which is gradually improving. Online shopping is primarily perceived as uncomplicated and convenient, but also gives more choice than buying in traditional shops. What most often encourages the respondents to shop online is the constant 24-hour availability. The majority of Poles indicated more attractive prices and cheaper    The impact of the coronavirus epidemic on Poland's individual sales channels was of great importance for increasing interest in internet sales. Closure of large-format stores, reduction of sales in retail stores, and consumers' fear of the contagion have influenced the development of e-commerce in Poland. Not only did internet sales increase, but also the number of available online shops on the market. Stores, which until the pandemic conducted only retail activity, after the introduction of restrictions, decided to expand their current operations to e-commerce. This concerns mainly shops offering food products. Sales of food products via the internet before the outbreak of the pandemic were of moderate interest. However, the lockdown contributed to an unprecedented increase in the popularity of these goods. 

  15. E-commerce Packaging Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). E-commerce Packaging Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/e-commerce-packaging-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    E-commerce Packaging Market Outlook



    The global e-commerce packaging market size was valued at approximately USD 49.5 billion in 2023 and is projected to reach USD 97.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.0% during the forecast period. The surge in online shopping, driven by the convenience of purchasing goods from the comfort of one's home, is a significant factor propelling the growth of the e-commerce packaging market. The rise in digital technology adoption, coupled with increasing internet penetration, has revolutionized the retail sector, creating a robust demand for effective and sustainable packaging solutions. The market's expansion is further fueled by the burgeoning trend of eco-friendly and recyclable packaging materials, catering to the growing consumer awareness regarding environmental conservation.



    A key growth factor in the e-commerce packaging market is the rapid urbanization and the subsequent rise in the middle-class population across emerging economies. This demographic shift has led to a substantial increase in disposable incomes, further encouraging the adoption of e-commerce platforms. As consumers become more tech-savvy and comfortable with online transactions, retailers are expanding their online presence, thereby driving the demand for diverse and innovative packaging solutions. Additionally, technological advancements such as automation and smart packaging are enabling companies to enhance their logistics and distribution efficiency, thus accentuating market growth.



    The growing focus on sustainability is another pivotal factor contributing to the market's expansion. Consumers are increasingly demanding packaging solutions that minimize environmental impact, prompting companies to innovate and develop materials that are biodegradable and recyclable. This trend is compelling manufacturers to rethink their design and material strategies to align with global sustainability goals. Governments worldwide are also implementing stringent regulations aimed at reducing plastic waste, further pushing the industry towards more sustainable practices. The integration of sustainable packaging solutions not only meets regulatory standards but also enhances brand image and customer loyalty, thereby acting as a catalyst for market growth.



    Furthermore, the proliferation of the e-commerce sector, especially in developing regions, is significantly bolstering the demand for packaging solutions. E-commerce giants and small retailers alike are focusing on optimizing their supply chain and delivery processes, which necessitates the use of efficient and protective packaging materials to ensure product safety. The increasing prevalence of direct-to-consumer (DTC) brands is also driving the need for distinctive packaging that enhances the unboxing experience, serving as a crucial marketing tool. These factors collectively underscore the dynamic growth trajectory of the e-commerce packaging market.



    In Store Retail Packaging plays a crucial role in bridging the gap between traditional retail environments and the burgeoning e-commerce sector. As consumers continue to embrace online shopping, the need for packaging solutions that can seamlessly transition from in-store displays to online order fulfillment becomes increasingly important. In store retail packaging not only enhances the visual appeal of products on shelves but also ensures that items are adequately protected during transit when purchased online. This dual functionality is essential for retailers aiming to provide a consistent brand experience across multiple sales channels. By integrating in store retail packaging strategies, businesses can optimize their supply chain efficiency and reduce packaging waste, ultimately contributing to a more sustainable retail ecosystem.



    Regionally, the Asia Pacific dominates the e-commerce packaging market, accounting for a substantial share of the global revenue. The region is anticipated to witness a remarkable growth rate, attributed to the rapid expansion of e-commerce activities in countries like China and India. North America and Europe also hold significant market shares, driven by well-established e-commerce sectors and high levels of consumer spending. The Middle East & Africa and Latin America are emerging markets, exhibiting promising growth potential due to increasing internet penetration and the growing popularity of online shopping platforms.



    Material Type Analysis



    The material type seg

  16. ACSI - U.S. customer satisfaction with online retail as of 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). ACSI - U.S. customer satisfaction with online retail as of 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    This timeline shows the customer satisfaction with e-retail over the years, as measured in the American Customer Satisfaction Index (ACSI) score. In 2024, customer satisfaction with electronic retail reached 80 points out of 100. A bustling e-commerce market With one of the largest economies globally, it is no surprise that the United States also is a leading market for e-commerce on the global scale. In 2023, the U.S. Census Bureau reported retail e-commerce sales reaching an estimated 275 million U.S. dollars, nearly doubling since 2019. This high number of sales is made possible by the 273 million e-commerce users in the country – over 80 percent of the population. U.S. online fashion shopping Of the most popular categories to buy online, apparel and accessories is by far the most popular. In 2024, apparel, footwear and accessories made up 20.2 percent of the country’s total retail e-commerce sales. In the same year, the category was forecast to generate a total 145 billion U.S. dollars in overall revenue.

  17. d

    US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and...

    • datarade.ai
    Updated Jun 27, 2025
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    Giant Partners (2025). US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation [Dataset]. https://datarade.ai/data-products/us-consumer-demographic-data-269m-consumer-records-progr-giant-partners
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific ta...

  18. f

    Data_Sheet_1_How Culture and Trustworthiness Interact in Different...

    • frontiersin.figshare.com
    pdf
    Updated Jun 6, 2023
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    Anna Tikhomirova; Juan Huang; Shuai Chuanmin; Muhammad Khayyam; Hussain Ali; Dmitry S. Khramchenko (2023). Data_Sheet_1_How Culture and Trustworthiness Interact in Different E-Commerce Contexts: A Comparative Analysis of Consumers' Intention to Purchase on Platforms of Different Origins.PDF [Dataset]. http://doi.org/10.3389/fpsyg.2021.746467.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers
    Authors
    Anna Tikhomirova; Juan Huang; Shuai Chuanmin; Muhammad Khayyam; Hussain Ali; Dmitry S. Khramchenko
    License

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

    Description

    The outgrowth of e-commerce has advanced the development of countries' economies. Today, online marketplaces are targeting not only their local customers but are also spreading their interests overseas, expanding cross-border e-commerce. The current study aims to analyze the interaction of customer's personal traits, such as national culture, disposition to trust, and perceived trustworthiness, and their effect on the purchase intention within different e-commerce contexts. The contexts are chosen based on the country-of-origin parameter and serve as the moderator in the research model. Both direct and indirect effects of cultural dimensions on trustworthiness and purchase intention are analyzed within the research framework. The data for the analysis are randomly collected among the Russian population and assessed using structural equation modeling (SEM). The analysis results prove the marketplace context moderates the interaction of customers' personal traits among each other and their effect on the purchase intention. The study shows that dimensions of national culture have a more substantial effect on perceived trustworthiness and purchase intention in the Chinese marketplace context. The current study contributes to the analysis of customer behavior patterns within context, expanding context-related research direction. It increases the specificity of the culture and trustworthiness research and deepens the understanding of country-of-origin moderating effect in e-commerce. Moreover, addressing a high-level uncertainty avoidance culture within the research framework, the study diversifies the existing set of analyzed cultures in the e-commerce environment. The current study is applicable both in domestic and in cross-border e-commerce practice, broadening the understanding of consumer behavior patterns. The research model is relevant for the analysis of trust-effected behavioral outcomes.

  19. Luxury E Commerce Platform Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Luxury E Commerce Platform Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/luxury-e-commerce-platform-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Luxury E-Commerce Platform Market Outlook



    The global luxury e-commerce platform market size was valued at $35 billion in 2023 and is projected to reach approximately $85 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.5% during the forecast period. This growth is driven by the increasing penetration of high-speed internet and smartphones, coupled with a rising inclination towards luxury goods and personalized shopping experiences among consumers worldwide.



    Several factors are fueling the growth of the luxury e-commerce platform market. Firstly, the rapid technological advancements and the proliferation of mobile applications have revolutionized the shopping experiences of consumers. These platforms offer a seamless and personalized shopping experience, which is especially crucial for luxury goods consumers who value exclusivity and unique, tailored experiences. Additionally, high-definition product images, virtual try-on technologies, and AI-driven personalized recommendations enhance customer engagement and satisfaction.



    Secondly, the demographic shift towards a younger, more tech-savvy, and affluent consumer base has significantly impacted the luxury e-commerce market. Millennials and Gen Z consumers, who are more comfortable with online shopping and digital payments, are becoming major purchasers of luxury goods. Their preference for convenience, combined with their desire for high-quality products, has driven luxury brands to innovate and improve their online presence. Moreover, this demographic is particularly inclined towards sustainable and ethically made products, propelling brands that emphasize these values.



    Thirdly, the influence of social media and digital marketing cannot be understated. Platforms such as Instagram, TikTok, and Pinterest play a pivotal role in shaping consumer preferences and driving sales through influencer endorsements and targeted advertising. Luxury brands are investing heavily in digital marketing strategies to enhance their online visibility and engage with potential customers. This trend is further supported by the integration of e-commerce functionalities within social media platforms, allowing for a seamless transition from browsing to purchasing.



    In recent years, Online Second-hand Luxury Goods Trading Platforms have emerged as a significant trend within the luxury e-commerce market. These platforms cater to a growing segment of consumers who seek luxury items at more affordable prices, as well as those who are environmentally conscious and prefer sustainable shopping options. By facilitating the resale of pre-owned luxury goods, these platforms not only extend the lifecycle of luxury products but also provide consumers with access to rare and vintage items that are no longer available in the primary market. The rise of these platforms is driven by technological advancements that ensure the authentication of products, thereby maintaining consumer trust and confidence. As a result, the second-hand luxury market is becoming an integral part of the broader luxury e-commerce landscape, offering both buyers and sellers a unique value proposition.



    From a regional perspective, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rising disposable incomes, urbanization, and a growing middle-class population in countries like China and India are contributing to the increased demand for luxury goods. Additionally, the region's young and digitally connected population is driving the adoption of luxury e-commerce platforms, making it a lucrative market for luxury brands. North America and Europe, being mature markets, continue to hold significant shares owing to the strong presence of established luxury brands and a high level of consumer spending on premium products.



    Product Type Analysis



    The luxury e-commerce platform market is segmented by product type into apparel, accessories, footwear, beauty products, home decor, and others. Apparel holds a significant share in the market, driven by the continuous demand for high-end fashion clothing. Luxury apparel brands have been quick to adapt to the e-commerce trend, offering exclusive collections and limited editions online. These brands leverage advanced technologies such as augmented reality (AR) for virtual try-ons, enhancing the online shopping experience and reducing return rates.



    Accessories, including watches, je

  20. B2C e-commerce Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). B2C e-commerce Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/b2c-e-commerce-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    B2C E-commerce Market Outlook



    The B2C e-commerce market size globally was valued at approximately $4.89 trillion in 2023 and is projected to reach around $9.87 trillion by 2032, exhibiting a robust CAGR of 8.1% during the forecast period. This remarkable growth is being driven by several factors, notably the increasing penetration of internet services, the growing preference for online shopping due to convenience, and the expansion of mobile commerce. Additionally, the continual evolution of technology and the integration of artificial intelligence, machine learning, and data analytics in online platforms are significantly enhancing user experiences, thereby fostering market growth. Moreover, the ongoing trend of omnichannel retailing is bridging the gap between traditional and online shopping experiences, providing a comprehensive shopping journey for consumers.



    One of the primary growth factors for the B2C e-commerce market is the exponential rise in smartphone usage and internet accessibility worldwide. As of 2023, there are over 5 billion internet users globally, and this number continues to rise, driven by advances in mobile technology and wider network coverage, particularly in developing regions. The convenience of shopping on-the-go through mobile apps has become a significant driver, leading to increased sales and customer engagement in the B2C e-commerce sector. Furthermore, innovations in mobile payment solutions have simplified the purchasing process, making it more secure and efficient for consumers, thereby encouraging more people to engage in online shopping activities.



    Another significant growth factor is the shift in consumer behavior and the increasing demand for a personalized shopping experience. Today's consumers expect tailored recommendations and a seamless shopping journey, which has driven e-commerce platforms to invest heavily in data analytics and AI technologies to understand consumer preferences better. This personalization not only enhances customer satisfaction but also increases the likelihood of repeat purchases, thus boosting sales. The integration of virtual reality (VR) and augmented reality (AR) in e-commerce is further enhancing online shopping experiences by allowing consumers to visualize products in a real-world context before making a purchase, which is particularly effective in categories such as fashion, furniture, and home decor.



    The influence of social media on e-commerce is another catalyst for market growth. Platforms like Instagram, Facebook, and TikTok have become powerful tools for product discovery and consumer engagement. The rise of social commerce, where consumers can directly purchase products through social media platforms, is altering traditional e-commerce pathways. Brands are leveraging these platforms to reach a broader audience, build brand loyalty, and drive sales through targeted marketing strategies. Social commerce not only provides an additional sales channel but also offers a more interactive and engaging shopping experience, which is particularly appealing to younger demographics.



    Crossborder Ecommerce is emerging as a transformative force in the global B2C e-commerce market, enabling businesses to reach international consumers and expand their market presence beyond domestic borders. This trend is fueled by the increasing globalization of trade and the removal of traditional barriers, such as tariffs and complex logistics, which have historically hindered cross-border transactions. E-commerce platforms are investing in infrastructure and partnerships to facilitate seamless international transactions, offering localized payment options, language support, and efficient shipping solutions. As a result, consumers are gaining access to a wider variety of products from around the world, enhancing their shopping experience and driving demand for crossborder e-commerce solutions. This expansion is particularly beneficial for small and medium-sized enterprises (SMEs), which can leverage e-commerce platforms to compete on a global scale and tap into new customer segments.



    Regionally, Asia Pacific dominates the B2C e-commerce market, accounting for the largest revenue share in 2023. This region's dominance is attributed to the massive consumer base, rapid urbanization, and the strong presence of e-commerce giants like Alibaba and JD.com. North America follows closely, driven by high internet penetration rates and advanced technological infrastructure. Europe also holds a significant market share, propelled by the increasing adoption of online shopping acr

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Emmanuel Paulino (2024). Survey Data on E-customer Relationship Scale [Dataset]. http://doi.org/10.4121/2b789f11-a369-4726-9078-0ce40b61874b.v1

Survey Data on E-customer Relationship Scale

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zipAvailable download formats
Dataset updated
Nov 8, 2024
Dataset provided by
4TU.ResearchData
Authors
Emmanuel Paulino
License

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

Time period covered
Aug 7, 2024 - Oct 21, 2024
Description

The dataset contains 1,462 entries and 22 columns, primarily capturing responses from a survey about e-customer relationships in e-commerce. Key demographic information includes age and sex, alongside questions on e-commerce usage patterns, such as daily app usage time and weekly purchase frequency.


The survey assesses factors influencing customer decisions, including the impact of e-commerce promotions (vouchers, coupons, flash sales), app usability, order processing speed, logistics ease, and customer service responsiveness. Further columns explore trust in sellers, the importance of regular order updates, perceived product quality, pricing competitiveness compared to physical stores, and the influence of social media advertisements and famous ambassadors. Additionally, participants rated their confidence in flagship stores, consideration of online shop ratings, and tendency to purchase from well-reviewed stores. Each response is rated on a scale, reflecting the importance of various factors in their e-commerce shopping behaviors.

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