45 datasets found
  1. Online shoppers preferred customer service types in the U.S. 2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Online shoppers preferred customer service types in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1483667/customer-service-interactions-preferences-elements-online/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    United States
    Description

    A survey conducted in the United States in January 2024 shows online shoppers' most appreciated types of customer service. Most of the respondents, around ** percent, answered that they value prompt replies to their inquiries. The quality of responses and the competency of the associates are also high on the users' list of preferences, with ** percent and ** percent, respectively. Only about ** percent of the respondents consider their previous interactions with customer service reps important.

  2. t

    2.05 Online Service Satisfaction (summary)

    • performance.tempe.gov
    • data-academy.tempe.gov
    • +12more
    Updated Nov 8, 2019
    + more versions
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    City of Tempe (2019). 2.05 Online Service Satisfaction (summary) [Dataset]. https://performance.tempe.gov/datasets/2-05-online-service-satisfaction-summary
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    Dataset updated
    Nov 8, 2019
    Dataset authored and provided by
    City of Tempe
    License

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

    Description

    This dataset comes from the Annual Community Survey question related to satisfaction with the quality of the city’s online services. Respondents are asked to provide their level of satisfaction related to “Tempe's online services (registration, payment, etc.)” on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (without "don't know" as an option).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Online Service Satisfaction performance measure. The performance measure dashboard is available at 2.05 Online Services Satisfaction Rate. Additional Information Source: Community Attitude Survey ( Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey results  Publish Frequency: Annual  Publish Method: Manual  Data Dictionary

  3. f

    Dataset.

    • figshare.com
    txt
    Updated May 31, 2023
    + more versions
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    Xiaofang Lin; Abdullah Al Mamun; Qing Yang; Mohammad Masukujjaman (2023). Dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0286382.s002
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xiaofang Lin; Abdullah Al Mamun; Qing Yang; Mohammad Masukujjaman
    License

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

    Description

    For logistics service providers (LSPs), improving customer satisfaction and obtaining customer re-use intention are key to gaining sustainable competitive advantages and success. Logistics service quality (LSQ) is a concern for logistics service providers, retailers, and customers. The proposed model, which is based on the stimuli-organism-response theory and the logistics service quality framework, integrates operational quality, resource quality, information quality, personal contact quality, customization quality, and customer satisfaction to study logistics service re-use intentions. The data were obtained from an online survey using a structured questionnaire given to those with experience in logistics service. Using partial least squares structural equation modeling on 810 respondents who were adult Chinese customers, this study discovered that operational, resource, information, personal contact, and customization qualities positively affect the satisfaction of logistics service customers, while customer satisfaction positively affects re-use intention. Moreover, the results of the mediation analysis revealed that customer satisfaction mediated the connection between the five components of LSQ and the re-use intention of logistics services. The originality of the study lies in its comprehensive examination of the direct and indirect effects of service quality dimensions on customer satisfaction and logistics service re-use intention in the context of logistics services. This study provides valuable insights into the importance of customer satisfaction in the logistics industry and highlights the need for logistics companies to prioritize customer satisfaction and improve their overall performance and competitiveness.

  4. D

    Bpo Customer Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Bpo Customer Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/bpo-customer-service-market
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    csv, pptx, 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

    BPO Customer Service Market Outlook



    The global market size of the BPO customer service industry is projected to grow significantly from USD 30 billion in 2023 to USD 55 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.5%. This robust growth is being driven by several factors, including the increasing need for businesses to enhance customer satisfaction and the rising demand for cost-efficient operational solutions. As global competition intensifies, organizations are increasingly outsourcing their customer service operations to specialized BPO providers to maintain a competitive edge.



    One of the primary growth factors for the BPO customer service market is the escalating need for improved customer service experience across various industries. Companies are focusing on providing high-quality customer interactions to build and retain a loyal customer base. The advent of advanced technologies such as AI and machine learning has enabled BPO providers to offer more personalized and efficient customer service solutions, further propelling market growth. Additionally, the surge in e-commerce activities and online transactions has necessitated efficient customer support systems, thus driving market demand.



    Another significant factor contributing to the market's growth is the cost-effectiveness associated with outsourcing customer service operations. Organizations can significantly reduce their operational costs by leveraging the expertise and infrastructure of specialized BPO service providers. This allows companies to focus on their core business competencies while ensuring high-quality customer service. Furthermore, the global trend towards business process automation and digital transformation is encouraging more companies to adopt BPO solutions, thereby fueling market expansion.



    The increasing adoption of cloud-based solutions is also a major growth driver for the BPO customer service market. Cloud technology offers numerous benefits, including scalability, flexibility, and reduced infrastructure costs. By deploying cloud-based customer service solutions, organizations can quickly adapt to changing customer needs and market conditions. Additionally, cloud technology enables seamless integration of various communication channels, enhancing the overall customer service experience. As a result, the demand for cloud-based BPO customer service solutions is expected to rise significantly over the forecast period.



    The evolution of Contenting Service has become increasingly relevant in the BPO customer service market. As companies strive to provide engaging and informative interactions, contenting services play a crucial role in enhancing customer experiences. By integrating content creation and management into customer service strategies, organizations can deliver personalized and relevant information to their customers. This approach not only improves customer satisfaction but also strengthens brand loyalty. The demand for contenting services is expected to rise as businesses recognize the value of delivering consistent and high-quality content across various customer touchpoints. As a result, BPO providers are expanding their service offerings to include contenting solutions, catering to the growing needs of their clients.



    Regionally, North America and Europe are anticipated to dominate the BPO customer service market due to the presence of large multinational companies and a high adoption rate of advanced technologies. However, emerging economies in the Asia Pacific region, such as India and the Philippines, are expected to witness substantial growth. These countries are becoming preferred outsourcing destinations due to their large, skilled workforce and cost-effective service offerings. Latin America and the Middle East & Africa are also poised for growth, driven by increasing investments in IT infrastructure and a growing focus on enhancing customer satisfaction.



    Service Type Analysis



    When analyzing the BPO customer service market by service type, inbound customer service emerges as a crucial segment due to the high demand for handling customer queries and providing support. Inbound services include answering calls, responding to emails, and managing live chats, which are essential for maintaining customer satisfaction. Organizations across various sectors, particularly retail and e-commerce, rely heavily on inbound customer service to address customer inquiries and issues promptly. The growing emphasis on cus

  5. Most used websites and online services by type in the U.S. 2025

    • statista.com
    Updated Jul 25, 2025
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    Statista (2025). Most used websites and online services by type in the U.S. 2025 [Dataset]. https://www.statista.com/forecasts/997104/most-used-websites-and-online-services-by-type-in-the-us
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    Dataset updated
    Jul 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024 - Jun 2025
    Area covered
    United States
    Description

    ** percent of U.S. respondents answer our survey on "Most used websites and online services by type" with **************. The survey was conducted in 2025, among 13,689 consumers.

  6. D

    Online Food Delivery Services Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Online Food Delivery Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/online-food-delivery-services-market
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    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

    Online Food Delivery Services Market Outlook



    The global online food delivery services market size is poised to grow from an estimated $150 billion in 2023 to a staggering $450 billion by 2032, registering a robust CAGR of 12.5% over the forecast period. This impressive market growth is primarily driven by increasing urbanization, a growing younger population, and the rising adoption of smartphones and internet services worldwide.



    One of the primary growth factors propelling the online food delivery services market is the rising consumer preference for convenience. In todayÂ’s fast-paced world, individuals increasingly value the ability to order meals from the comfort of their homes or offices. With busy lifestyles becoming the norm, many consumers are opting for food delivery services that save them time and effort. Moreover, the COVID-19 pandemic significantly accelerated this trend, as lockdowns and social distancing measures pushed more people to use online platforms for ordering food, thereby giving the market a substantial boost.



    Another significant factor contributing to the growth of the online food delivery services market is the expansion of the restaurant industry and the increasing number of food service providers joining delivery platforms. Restaurants and food chains are partnering with delivery services to reach a broader customer base. Additionally, the advent of cloud kitchens, which are commercial facilities purpose-built to produce food specifically for delivery, is further enhancing the market landscape. These kitchens reduce overhead costs and allow businesses to focus exclusively on preparing high-quality meals for delivery.



    Technological advancements also play a crucial role in driving market growth. The integration of artificial intelligence (AI) and machine learning (ML) into food delivery platforms has improved the efficiency and customer experience. For instance, AI-driven algorithms help in optimizing delivery routes, thereby reducing delivery times and enhancing customer satisfaction. Furthermore, the use of data analytics allows companies to understand consumer preferences better and offer personalized recommendations, thereby boosting sales.



    The rise of Virtual Restaurant & Ghost Kitchens has significantly transformed the food delivery landscape. These innovative concepts allow businesses to operate without a traditional storefront, focusing solely on delivery and takeout services. By leveraging shared kitchen spaces, virtual restaurants can reduce overhead costs and experiment with diverse cuisines without the constraints of a physical location. This model not only benefits restaurateurs by lowering entry barriers but also provides consumers with a wider array of dining options. As the demand for convenient and varied food choices continues to grow, virtual restaurants and ghost kitchens are poised to play a crucial role in the evolution of the online food delivery market.



    From a regional standpoint, Asia Pacific holds the largest share of the online food delivery services market, owing to its large population and the rapid adoption of smartphones and internet services. North America and Europe also represent significant market shares due to the high disposable income and lifestyle changes among consumers in these regions. Additionally, the Middle East & Africa and Latin America regions are expected to witness considerable growth due to increasing urbanization and the growing popularity of online food delivery services.



    Platform Type Analysis



    The online food delivery services market can be segmented based on platform type into mobile applications and websites. Mobile applications dominate the market, primarily due to the widespread use of smartphones and the convenience they offer. With the proliferation of mobile internet and the increasing affordability of smartphones, more consumers are opting to use mobile apps for their food delivery needs. These apps provide a user-friendly interface, easy navigation, and features such as real-time tracking of orders, which enhance the overall customer experience.



    Virtual Restaurant and Ghost Kitchens are reshaping the traditional restaurant industry by offering a flexible and scalable solution for food service providers. These establishments operate exclusively o

  7. g

    Quality of service survey year 2024 - Online appointments | gimi9.com

    • gimi9.com
    + more versions
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    Quality of service survey year 2024 - Online appointments | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_ds2690
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    License

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

    Description

    The dataset contains the details of the answers* to the questionnaire to detect the satisfaction of users who use the online booking service for physical, telephone and virtual appointments with the Municipality of Milan offices. The survey was launched in July 2020 in accordance with the Digital Administration Code (Article 7(3) of Legislative Decree No 82/2005, as amended by Article 8(1) of Legislative Decree No 179/16) and the questionnaire was updated in February 2024. The questionnaire can be completed online by the user after making the reservation and allows them to express their satisfaction with the accessibility, simplicity and effectiveness of the service. The user accesses the questionnaire via a link in the confirmation and reminder email sent by the booking system. The results of the survey are published monthly on https://www.comune.milano.it/comune/amministrazione-transparente/servizi-distributi/servizi-in-rete. Some interpretative notes: * The columns “Could you specify where you experienced the most difficulties?” are assessed only by those who gave a negative assessment in the question “Overall how easy was it to use this online service?” * The columns ‘Overall how easy was it to use this online service?’ and ‘Overall how satisfied are you with the online appointment booking service’ can range from 1 (not at all) to 4 (very) * The values in the column “Would you speak well of this service to other people?” correspond to the following rating levels: 0 to 6 detractors, 7 and 8 passive, 9 and 10 promoters * The ‘Planned start’ column shows the date of the appointment * The ‘Creation date’ column shows the date on which the appointment was booked (*) closed questions only

  8. d

    Dataset for collaborative prediction of web service quality based on user...

    • datadryad.org
    • search.dataone.org
    zip
    Updated Nov 10, 2020
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    Yang Song (2020). Dataset for collaborative prediction of web service quality based on user preferences and services [Dataset]. http://doi.org/10.5061/dryad.5dv41ns4s
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    zipAvailable download formats
    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Dryad
    Authors
    Yang Song
    Time period covered
    Nov 7, 2020
    Description

    The experimental dataset was the QoSDataset2 from the publicly released WS-DREAM and the Web service searching engines: xmethods.net. The experimental dataset was the QoSDataset2 from the publicly released WS-DREAM, and the Web service searching engines: xmethods.net. The dataset includes 5301 Web services,214 Services Users and response time. We constructed three user-service matrices with different of size = 100 × 100, size = 100 × 150, size = 150 × 100 by randomly extracting a certain number of users and services.

  9. F

    Polish Agent-Customer Chat Dataset for Retail & E-Commerce

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). Polish Agent-Customer Chat Dataset for Retail & E-Commerce [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/polish-retail-domain-conversation-text-dataset
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    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The Polish Retail & E-Commerce Chat Dataset is a large-scale, high-quality collection of over 10,000 chat conversations between customers and call center agents, focused exclusively on Retail and E-Commerce domains. Designed to reflect real-world service interactions, this dataset supports the development of robust conversational AI and NLP models tailored for Polish-speaking audiences.

    Participant & Chat Overview

    Contributors: 150 native Polish speakers from the FutureBeeAI Crowd Community
    Chat Length: 300–700 words per conversation
    Turn Count: 50–150 dialogue turns across both participants
    Chat Types: Inbound and outbound
    Sentiment Coverage: Positive, neutral, and negative interaction outcomes

    Topic Diversity

    This dataset spans a wide range of Retail and E-Commerce conversation types:

    Inbound Chats (Customer-Initiated)
    Product inquiries
    Return or exchange requests
    Order cancellations
    Refunds and payment issues
    Membership or subscription queries
    Shipping, delivery, and more
    Outbound Chats (Agent-Initiated)
    Order confirmation and verification
    Cross-selling and upselling
    Loyalty program promotions
    Account updates
    Special offers and discounts
    Customer feedback and verification

    This diversity enables training of models that handle varied intents, scenarios, and outcomes within customer service workflows.

    Language Nuance & Realism

    The dataset is rich in linguistic diversity and mirrors real conversational tone and structure used in Polish-speaking regions:

    Personal & Brand Names: Culturally accurate naming conventions
    Local Elements: Realistic addresses, phone numbers, emails, currency references, and time/date formats
    Slang & Idioms: Local expressions, informal phrases, and customer service jargon
    Cultural Specificity: Region-aware vocabulary and tone

    This linguistic authenticity ensures the development of culturally fluent AI models for Polish Retail & E-Commerce use cases.

    Conversational Structure & Flow

    The conversations reflect natural dialogue dynamics and are organized into various types of interaction styles:

    Simple inquiries
    Detailed problem-solving discussions
    Transactional exchanges
    Follow-ups and status updates
    Advisory and assistance sessions

    Each conversation includes common dialogue stages such as:

    Greetings
    Customer authentication
    Information gathering
    <div style="margin-top:10px; margin-bottom: 10px; margin-left: 30px;font-weight: 300; display: flex; gap:

  10. m

    Data E-Service Quality, E-Trust, Lifestyle, Pricing Strategy, Purchase...

    • data.mendeley.com
    Updated Jul 9, 2024
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    Doni Purnama Alamsyah (2024). Data E-Service Quality, E-Trust, Lifestyle, Pricing Strategy, Purchase Decision (E-Commerce, Bandung, Indonesia) [Dataset]. http://doi.org/10.17632/f6rvkm2nvk.1
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    Dataset updated
    Jul 9, 2024
    Authors
    Doni Purnama Alamsyah
    License

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

    Area covered
    Indonesia, Bandung
    Description

    Data E-Service Quality, E-Trust, Lifestyle, Pricing Strategy, Purchase Decision (E-Commerce, Bandung, Indonesia) 2023

  11. D

    Knife Sharpening Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Knife Sharpening Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-knife-sharpening-service-market
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    pdf, pptx, csvAvailable 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

    Knife Sharpening Service Market Outlook


    The global knife sharpening service market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 1.8 billion by 2032, with a CAGR of 4.5% from 2024 to 2032. This market growth is driven by increasing awareness about the importance of knife maintenance among both residential and commercial users.



    One of the primary growth factors for the knife sharpening service market is the growing culinary industry. With the rise in the number of restaurants, culinary schools, and food-related businesses, the demand for well-maintained kitchen tools has surged. Professional chefs and culinary experts understand that sharp knives are essential for precision in food preparation, leading to a steady demand for reliable sharpening services. Additionally, the trend of cooking at home, fueled by cooking shows and social media, has increased the number of residential users seeking professional knife sharpening services.



    Another significant factor contributing to market growth is the increasing awareness about sustainability and cost savings. Instead of purchasing new knives, both households and businesses are opting to extend the life of their existing tools through regular maintenance and sharpening. This shift towards sustainability is not only environmentally friendly but also cost-effective in the long run. Furthermore, advancements in sharpening technology and the availability of mobile and mail-in services have made it more convenient for users to access high-quality sharpening services.



    The expansion of e-commerce and online platforms has also played a crucial role in the growth of the knife sharpening service market. Online distribution channels have made it easier for consumers to find and book sharpening services, compare prices, and read reviews. This has increased the visibility and accessibility of various service providers, leading to a more competitive market. Additionally, the COVID-19 pandemic has accelerated the adoption of online services, as consumers have become more comfortable with digital transactions and home-based solutions.



    Regionally, North America and Europe are expected to dominate the knife sharpening service market due to the high prevalence of culinary schools, restaurants, and food-related businesses. In these regions, there is a strong culture of maintaining and preserving high-quality kitchen tools. Meanwhile, the Asia Pacific region is anticipated to witness significant growth during the forecast period, driven by the burgeoning food service industry and increasing disposable incomes. The growing urban population and rising interest in gourmet cooking are also contributing to the market's expansion in this region.



    Service Type Analysis


    The knife sharpening service market is segmented into three main service types: In-Store, Mobile, and Mail-In. Each of these segments caters to different customer needs and preferences, and they all play a vital role in the overall market dynamics. In-Store services involve customers bringing their knives to physical locations for sharpening. This traditional method remains popular due to the immediate service and the possibility of direct interaction with the sharpening professional. Customers appreciate the ability to discuss their specific needs and receive tailored advice on knife maintenance.



    Mobile knife sharpening services have gained popularity, especially among busy professionals and commercial end-users. These services involve a professional coming to the customer's location to sharpen knives on-site. This convenience factor has made mobile services particularly attractive to restaurants and culinary institutions, where time is of the essence, and downtime needs to be minimized. The flexibility and efficiency of mobile services are significant selling points, and many businesses are willing to pay a premium for this added convenience.



    Mail-In services are another growing segment, offering a practical solution for customers who may not have access to local sharpening professionals. Customers send their knives to a sharpening service provider, who then sharpens the knives and mails them back. This method is particularly appealing for those living in remote areas or for customers seeking specialized sharpening services that may not be available locally. The rise of e-commerce platforms has facilitated the growth of mail-in services, providing customers with easy access to nationwide and even international service providers.



    Each service type has its advantages and

  12. d

    California State Waters Map Series--Offshore of Coal Oil Point Web Services

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Coal Oil Point Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-coal-oil-point-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Coal Oil Point map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore Coal Oil Point map area data layers. Data layers are symbolized as shown on the associated map sheets.

  13. n

    Biocatalogue - The Life Science Web Services Registry

    • neuinfo.org
    • rrid.site
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    Biocatalogue - The Life Science Web Services Registry [Dataset]. http://identifiers.org/RRID:SCR_001679
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    Description

    Crowd-curated catalog of life sciences Web services with over 2400 service entries, thereby enabling users (people and programs) to discover and use these services easily. It provides a platform with several (standardized) interfaces and a suite of tools for registration of services by the community of users as well as empowers the community to extend and enhance the system. BioCatalogue provides a centralized biological web services market place which is accessible to the world as it is searchable and indexable to search engines. Additionally, it provides a quality of service standard for biological web services thereby enabling services to be classified and checked for availability, reliability and other quality measures. Primary goals: * Provide a single registration point for Web Service providers and a single search site for scientists and developers. * Providers, Expert curators and Users will provide oversight, monitor the catalog and provide high quality annotations for services. * BioCatalogue is a place where the community can find contacts and meet the experts and maintainers of these services.

  14. f

    Pakago | Jewelry & Luxury Products | Ecommerce Data

    • datastore.forage.ai
    Updated Sep 19, 2024
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    (2024). Pakago | Jewelry & Luxury Products | Ecommerce Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Jewelry%20&%20Luxury%20Products
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    Dataset updated
    Sep 19, 2024
    Description

    Pakago is a leading logistics and e-commerce company that specializes in providing high-quality products and services to customers in Vietnam. With a commitment to excellence and customer satisfaction, Pakago offers a wide range of products from top brands around the world, including Apple Watch, at competitive prices. Their mission is to provide customers with a convenient and fast shopping experience, with a focus on quality, reliability, and excellent customer service.

    From its warehouse in Hanoi, Pakago receives and processes international shipments from countries such as the US, China, and Japan. With a team of experienced staff and a modern warehouse facility, Pakago ensures that products are carefully inspected and packaged to ensure safe and secure transportation to customers in Vietnam. Pakago's services also include express delivery, online tracking, and full refund guarantee, making it a trusted partner for online shoppers in Vietnam. With its competitive prices and excellent customer service, Pakago has become a popular choice for online shoppers in Vietnam.

  15. d

    TagX Web Browsing clickstream Data - 300K Users North America, EU - GDPR -...

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 16, 2024
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    TagX (2024). TagX Web Browsing clickstream Data - 300K Users North America, EU - GDPR - CCPA Compliant [Dataset]. https://datarade.ai/data-products/tagx-web-browsing-clickstream-data-300k-users-north-america-tagx
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    TagX
    Area covered
    Finland, Ireland, United States of America, Macedonia (the former Yugoslav Republic of), Luxembourg, China, Holy See, Japan, Switzerland, Andorra
    Description

    TagX Web Browsing Clickstream Data: Unveiling Digital Behavior Across North America and EU Unique Insights into Online User Behavior TagX Web Browsing clickstream Data offers an unparalleled window into the digital lives of 1 million users across North America and the European Union. This comprehensive dataset stands out in the market due to its breadth, depth, and stringent compliance with data protection regulations. What Makes Our Data Unique?

    Extensive Geographic Coverage: Spanning two major markets, our data provides a holistic view of web browsing patterns in developed economies. Large User Base: With 300K active users, our dataset offers statistically significant insights across various demographics and user segments. GDPR and CCPA Compliance: We prioritize user privacy and data protection, ensuring that our data collection and processing methods adhere to the strictest regulatory standards. Real-time Updates: Our clickstream data is continuously refreshed, providing up-to-the-minute insights into evolving online trends and user behaviors. Granular Data Points: We capture a wide array of metrics, including time spent on websites, click patterns, search queries, and user journey flows.

    Data Sourcing: Ethical and Transparent Our web browsing clickstream data is sourced through a network of partnered websites and applications. Users explicitly opt-in to data collection, ensuring transparency and consent. We employ advanced anonymization techniques to protect individual privacy while maintaining the integrity and value of the aggregated data. Key aspects of our data sourcing process include:

    Voluntary user participation through clear opt-in mechanisms Regular audits of data collection methods to ensure ongoing compliance Collaboration with privacy experts to implement best practices in data anonymization Continuous monitoring of regulatory landscapes to adapt our processes as needed

    Primary Use Cases and Verticals TagX Web Browsing clickstream Data serves a multitude of industries and use cases, including but not limited to:

    Digital Marketing and Advertising:

    Audience segmentation and targeting Campaign performance optimization Competitor analysis and benchmarking

    E-commerce and Retail:

    Customer journey mapping Product recommendation enhancements Cart abandonment analysis

    Media and Entertainment:

    Content consumption trends Audience engagement metrics Cross-platform user behavior analysis

    Financial Services:

    Risk assessment based on online behavior Fraud detection through anomaly identification Investment trend analysis

    Technology and Software:

    User experience optimization Feature adoption tracking Competitive intelligence

    Market Research and Consulting:

    Consumer behavior studies Industry trend analysis Digital transformation strategies

    Integration with Broader Data Offering TagX Web Browsing clickstream Data is a cornerstone of our comprehensive digital intelligence suite. It seamlessly integrates with our other data products to provide a 360-degree view of online user behavior:

    Social Media Engagement Data: Combine clickstream insights with social media interactions for a holistic understanding of digital footprints. Mobile App Usage Data: Cross-reference web browsing patterns with mobile app usage to map the complete digital journey. Purchase Intent Signals: Enrich clickstream data with purchase intent indicators to power predictive analytics and targeted marketing efforts. Demographic Overlays: Enhance web browsing data with demographic information for more precise audience segmentation and targeting.

    By leveraging these complementary datasets, businesses can unlock deeper insights and drive more impactful strategies across their digital initiatives. Data Quality and Scale We pride ourselves on delivering high-quality, reliable data at scale:

    Rigorous Data Cleaning: Advanced algorithms filter out bot traffic, VPNs, and other non-human interactions. Regular Quality Checks: Our data science team conducts ongoing audits to ensure data accuracy and consistency. Scalable Infrastructure: Our robust data processing pipeline can handle billions of daily events, ensuring comprehensive coverage. Historical Data Availability: Access up to 24 months of historical data for trend analysis and longitudinal studies. Customizable Data Feeds: Tailor the data delivery to your specific needs, from raw clickstream events to aggregated insights.

    Empowering Data-Driven Decision Making In today's digital-first world, understanding online user behavior is crucial for businesses across all sectors. TagX Web Browsing clickstream Data empowers organizations to make informed decisions, optimize their digital strategies, and stay ahead of the competition. Whether you're a marketer looking to refine your targeting, a product manager seeking to enhance user experience, or a researcher exploring digital trends, our cli...

  16. C

    Service quality survey April 2022 - Presentation TARI declarations

    • ckan.mobidatalab.eu
    csv, json
    Updated Apr 23, 2023
    + more versions
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    Directorate of Civic Services, Participation and Sport (2023). Service quality survey April 2022 - Presentation TARI declarations [Dataset]. https://ckan.mobidatalab.eu/dataset/ds1853-survey-quality-of-service-presentation-declarations-tari-april-2022
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    json(167907), csv(46556)Available download formats
    Dataset updated
    Apr 23, 2023
    Dataset provided by
    Directorate of Civic Services, Participation and Sport
    License

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

    Description

    The dataset contains the details of the answers () to the questionnaire for measuring the satisfaction of users who use the online service for submitting TARI declarations (occupancy, termination, change in non-resident occupants and change in property data), activated at May 2021 in compliance with the indications of the Digital Administration Code (Legislative Decree 82/2005, art. 7, c.3 - modified by Legislative Decree 179/16, art. 8, c.1). The questionnaire can be completed online by the user after having requested the certificate and allows him to express his satisfaction with the accessibility, simplicity and effectiveness of the service. The user accesses the questionnaire via a link received by email at the end of the request. The results of the survey are published monthly on the page https://www.comune.milano.it/comune/administration-trasparente/servizi-erogati/servizi-in-rete. () only closed questions

  17. D

    Online Cnc Machining Service Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Online Cnc Machining Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/online-cnc-machining-service-market
    Explore at:
    pptx, csv, 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

    Online CNC Machining Service Market Outlook



    The global market size for Online CNC Machining Services was valued at approximately USD 4.5 billion in 2023 and is forecasted to reach USD 10.3 billion by 2032, growing at a CAGR of 9.5% during the forecast period. The growth of this market is primarily driven by the increasing demand for precision manufacturing in various industries, the rise of e-commerce platforms facilitating easier access to CNC services, and the rapid advancements in CNC technology.



    One of the principal growth factors is the surge in demand for precision and efficiency in manufacturing processes across various industries such as automotive, aerospace, and medical. Online CNC machining services offer a robust solution by providing high-quality, precise components with reduced lead times and lower production costs. The convenience of ordering custom parts online, combined with rapid prototyping capabilities, has led to a significant increase in market adoption. This trend is expected to continue as more industries recognize the benefits of streamlined, precise manufacturing processes.



    Another critical factor contributing to the market's growth is the integration of advanced technologies such as IoT and AI in CNC machines. These technologies enhance the capabilities of CNC machining services by enabling predictive maintenance, real-time monitoring, and improved accuracy. Furthermore, the rise of smart factories and Industry 4.0 initiatives are propelling the demand for online CNC services, as manufacturers seek to optimize their production processes and improve operational efficiency. The continuous advancements in machine learning and AI technologies are expected to further fuel the growth of this market.



    The increasing adoption of e-commerce platforms and digital marketplaces is also a significant growth driver for this market. The shift towards online platforms for ordering custom parts and prototypes has simplified the procurement process for businesses, enabling faster turnaround times and cost savings. These platforms often provide instant quotes, design feedback, and access to a network of certified manufacturers, making it easier for businesses to meet their manufacturing needs efficiently. This trend is anticipated to gain momentum, further bolstering the market growth during the forecast period.



    From a regional perspective, the Asia Pacific region is expected to witness substantial growth due to the presence of a large number of manufacturing industries and the increasing adoption of advanced manufacturing technologies. Countries like China, Japan, and South Korea are leading the charge in integrating CNC machining services into their manufacturing processes. North America and Europe are also expected to see significant growth, driven by the high demand for precision manufacturing in the automotive and aerospace industries. The Middle East & Africa and Latin America regions are gradually adopting CNC technologies, with potential for growth as industries in these regions modernize their manufacturing capabilities.



    Service Type Analysis



    The Online CNC Machining Service market can be segmented by service type into Prototyping, Production, and Custom Parts. Each of these segments caters to different manufacturing needs and plays a crucial role in the overall market dynamics.



    Prototyping services are a significant segment within the online CNC machining market. Companies frequently require prototypes to test and validate their designs before proceeding to mass production. The ability to quickly create precise prototypes using CNC machining services allows businesses to iterate their designs efficiently, reducing the time and cost associated with product development. The rise of rapid prototyping technologies and the increasing demand for customized products are further driving the growth of this segment.



    The production segment involves the manufacturing of parts and components in large volumes. This segment is particularly important for industries such as automotive, aerospace, and electronics, where high precision and consistency are critical. Online CNC machining services offer the ability to produce large quantities of parts with tight tolerances, ensuring high-quality and reliable components. The increasing demand for mass customization and the need for efficient production processes are key factors contributing to the growth of the production segment.



    Custom parts manufacturing is another vital segment within the online CNC machining market. This se

  18. D

    Restaurant Online Ordering System Market Report | Global Forecast From 2025...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Restaurant Online Ordering System Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-restaurant-online-ordering-system-market
    Explore at:
    csv, pptx, 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

    Restaurant Online Ordering System Market Outlook




    The global restaurant online ordering system market size was valued at approximately USD 12.5 billion in 2023 and is projected to reach around USD 35.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. Several factors contribute to this substantial growth, including increasing consumer preference for convenient dining options, technological advancements, and the rising penetration of smartphones and internet services worldwide.




    One of the primary growth drivers of the restaurant online ordering system market is the shift in consumer behavior towards convenience and quick service. With busy lifestyles and the demand for time-efficient solutions, consumers are increasingly opting for online ordering systems that allow them to order food from their favorite restaurants with just a few clicks. This shift is particularly evident among younger demographics, such as millennials and Gen Z, who are more tech-savvy and prefer digital solutions over traditional methods. Additionally, the COVID-19 pandemic accelerated the adoption of online ordering systems as consumers sought contactless and safe dining options.




    Technological advancements also play a crucial role in the growth of the restaurant online ordering system market. The integration of Artificial Intelligence (AI), Machine Learning (ML), and data analytics into these systems has enhanced their efficiency and user experience. For instance, AI-powered chatbots can handle customer inquiries and take orders, reducing the need for human intervention. Moreover, data analytics provides valuable insights into customer preferences and behavior, allowing restaurants to personalize their offerings and improve customer satisfaction. These technological innovations are expected to continue driving market growth in the coming years.




    The rising penetration of smartphones and internet services globally is another significant factor contributing to the market's expansion. With smartphones becoming increasingly affordable and internet services more accessible, a larger number of consumers can now order food online. This trend is particularly prominent in emerging economies, where the adoption of digital technologies is on the rise. Furthermore, the proliferation of food delivery apps and platforms, such as Uber Eats, Grubhub, and DoorDash, has made it easier for restaurants to reach a broader customer base and streamline their online ordering processes.



    In today's fast-paced world, the ability to Order Takeaway Online has become a crucial aspect of the dining experience. This trend has been fueled by the increasing demand for convenience and the desire to enjoy restaurant-quality meals at home. Online takeaway services offer a seamless and efficient way for consumers to explore a wide variety of cuisines without leaving their homes. This shift towards online ordering is not only beneficial for consumers but also provides restaurants with an opportunity to expand their customer base and increase revenue. By offering takeaway options online, restaurants can cater to a broader audience, including those who prefer dining in the comfort of their own homes. As the popularity of online takeaway continues to rise, it is expected to play a significant role in shaping the future of the restaurant industry.




    From a regional perspective, North America currently holds the largest market share in the restaurant online ordering system market, driven by the high adoption rate of digital technologies and a well-established food delivery infrastructure. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors such as increasing urbanization, a growing middle-class population, and rising disposable incomes in countries like China and India are driving the demand for online food ordering services. Additionally, the presence of major market players and the rapid expansion of internet and smartphone usage in the region further bolster market growth.



    Component Analysis




    The restaurant online ordering system market is segmented by component into software, hardware, and services. Each of these components plays a vital role in the overall functioning and success of an online ordering system. The software segment holds the largest share of t

  19. Mexico: satisfaction with fixed internet services 2018

    • statista.com
    Updated Mar 31, 2023
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    Statista (2023). Mexico: satisfaction with fixed internet services 2018 [Dataset]. https://www.statista.com/statistics/1021959/mexico-fixed-internet-satisfaction/
    Explore at:
    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 15, 2018 - Dec 30, 2018
    Area covered
    Mexico
    Description

    The table shows the level of satisfaction with fixed-line internet services in Mexico in 2018, by brand. Among the five presented brands, Total Play reached the highest index value for perceived quality of fixed-line internet services with a score of 73.3 out of 100.

  20. d

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

    • datarade.ai
    Updated Jun 1, 2022
    + more versions
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    Giant Partners (2022). 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
    Explore at:
    Dataset updated
    Jun 1, 2022
    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.

Share
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Close
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Statista (2025). Online shoppers preferred customer service types in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1483667/customer-service-interactions-preferences-elements-online/
Organization logo

Online shoppers preferred customer service types in the U.S. 2024

Explore at:
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2024
Area covered
United States
Description

A survey conducted in the United States in January 2024 shows online shoppers' most appreciated types of customer service. Most of the respondents, around ** percent, answered that they value prompt replies to their inquiries. The quality of responses and the competency of the associates are also high on the users' list of preferences, with ** percent and ** percent, respectively. Only about ** percent of the respondents consider their previous interactions with customer service reps important.

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