100+ datasets found
  1. Easiest-to-use customer service channels in U.S. 2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Easiest-to-use customer service channels in U.S. 2022 [Dataset]. https://www.statista.com/statistics/816704/communication-channels-easy-to-use-with-customer-service-united-states/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022
    Area covered
    United States
    Description

    In 2022, the communication channel that was considered to be the easiest to use in customer service in the United States was a ******************. ** percent of respondents chose this as their answer, whereas only ** percent stated a live video chat was the easiest communication channel to use.

  2. Customers by share lost due to poor service experience U.S.& worldwide 2018

    • statista.com
    Updated Jul 6, 2022
    + more versions
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    Statista (2022). Customers by share lost due to poor service experience U.S.& worldwide 2018 [Dataset]. https://www.statista.com/statistics/810562/customers-by-share-lost-due-to-poor-service-experience/
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    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States, Worldwide
    Description

    This statistic shows the share of customers in the U.S. and worldwide by if they have ever stopped doing business with a brand due to a poor customer service experience in 2018. During the survey, 62 percent of respondents from the United States stated that they have stopped doing business with a brand due to a poor customer service experience.

  3. T

    Customer Service Requests (CSR) Survey Feedback Responses

    • data.cincinnati-oh.gov
    application/rdfxml +5
    Updated Jul 4, 2025
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    City of Cincinnati (2025). Customer Service Requests (CSR) Survey Feedback Responses [Dataset]. https://data.cincinnati-oh.gov/Efficient-Service-Delivery/Customer-Service-Requests-CSR-Survey-Feedback-Resp/umfh-cri7
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    csv, application/rdfxml, application/rssxml, json, xml, tsvAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    City of Cincinnati
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Data Description: This data set contains a record of all Citizen Service Requests (CSRs) feedback survey responses. When CSRs are closed out by the City, customers who provide an email address are automatically sent a notification that their work has been completed, as well as a link to a customer service satisfaction survey. Customers are able to provide feedback on work completion, satisfaction level, and any additional information. No identifying personal customer/citizen information (name, contact information, or additional comments) is included in this data.

    Data Creation: Data generated when CSR feedback surveys are submitted

    Data Created By: DPS

    Refresh Frequency:

    CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/Customer-Service-CSR-Satisfaction/ks8a-xggj/

    Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

    Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

    Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

  4. d

    Monthly Performance Management Reports (includes Corruption Lectures and...

    • catalog.data.gov
    • data.cityofnewyork.us
    • +2more
    Updated Sep 2, 2023
    + more versions
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    data.cityofnewyork.us (2023). Monthly Performance Management Reports (includes Corruption Lectures and Customer Service indicators) [Dataset]. https://catalog.data.gov/dataset/monthly-performance-management-reports-includes-corruption-lectures-and-customer-service-i
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    This dataset contains select monthly performance statistics that DOI regularly reports to the Mayor's Office of Operations for 2010 - 2015. This dataset includes several indicators that are cummulated for the Mayor's Management Reports, such as the including numbers of complaints received by the Agency and the numbers of arrests made. This dataset also includes monthly statistics on the Agency's outreach efforts (anticorrupion and whistleblower lectures) as well customer service indicators (such as the number of emails received by the Agency).

  5. 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.

  6. Impact of AI on customer info experience at contact centers U.S. 2023

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Impact of AI on customer info experience at contact centers U.S. 2023 [Dataset]. https://www.statista.com/statistics/1484479/contact-centers-ai-and-customer-info/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2022 - Jan 2023
    Area covered
    United States
    Description

    In 2023, the ******** of contact center workers in the United States stated they agreed artificial intelligence (AI) had ******** customer service when it came to customer information tasks during their workday. ** percent agreed that AI had made their work easier.

  7. Envestnet | Yodlee's De-Identified Consumer Transaction Data | Row/Aggregate...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Consumer Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ public and private corporations [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-consumer-transaction-data-row-aggrega-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Yodlee
    Envestnethttp://envestnet.com/
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Consumer Transaction 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

  8. d

    2.02 Customer Service (summary)

    • datasets.ai
    • data-academy.tempe.gov
    • +11more
    15, 21, 3, 8
    Updated Jun 27, 2020
    + more versions
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    City of Tempe (2020). 2.02 Customer Service (summary) [Dataset]. https://datasets.ai/datasets/2-02-customer-service-summary-f94dd
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    3, 15, 21, 8Available download formats
    Dataset updated
    Jun 27, 2020
    Dataset authored and provided by
    City of Tempe
    Description

    This dataset provides Customer Service Satisfaction results from the Annual Community Survey. The survey questions assess satisfaction with overall customer service for inpiduals who had contacted the city in the past year.

    For years where there are multiple questions related to overall customer service and treatment, the average of those responses are provided in this dataset. Responses for each question are shown in the detailed dataset.

    For years 2010-2014, respondents were first asked "Have you contacted the city in the past year?". If they answered that they had contacted the city, then they were asked additional questions about their experience. The "number of respondents" field represents the number of people who answered yes to the contact question.

    Responses of "don't know" are not included in this dataset, but can be found in the dataset for the entire Community Survey. A survey was not completed for 2015.

    The performance measure dashboard is available at 2.02 Customer Service Satisfaction.

    Additional Information

    Source: Community Attitude Survey

    Contact: Wydale Holmes

    Contact E-Mail: Wydale_Holmes@tempe.gov

    Data Source Type: Excel and PDF

    Preparation Method: Extracted from Annual Community Survey results

    Publish Frequency: Annual

    Publish Method: Manual

    Data Dictionary


  9. Global customer care systems market share 2013-2014, by vendor

    • ai-chatbox.pro
    • statista.com
    Updated Jul 16, 2015
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    Statista (2015). Global customer care systems market share 2013-2014, by vendor [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F503610%2Fworldwide-customer-care-systems-market-share-by-vendor%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
    Explore at:
    Dataset updated
    Jul 16, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013 - 2014
    Area covered
    Worldwide
    Description

    The statistic depicts the market share held by the leading vendors of customer care systems worldwide, in 2013 and 2014. In 2014, Oracle led the market with a worldwide share of 23.4 percent. The same year, the global customer care systems market was worth 3.9 billion U.S. dollars.

  10. A

    ‘2.02 Customer Service (summary)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘2.02 Customer Service (summary)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-2-02-customer-service-summary-dcfe/latest
    Explore at:
    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘2.02 Customer Service (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/89e14231-72a4-482e-b1f3-3b3fd4115bc0 on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset provides Customer Service Satisfaction results from the Annual Community Survey. The survey questions assess satisfaction with overall customer service for inpiduals who had contacted the city in the past year.

    For years where there are multiple questions related to overall customer service and treatment, the average of those responses are provided in this dataset. Responses for each question are shown in the detailed dataset.

    For years 2010-2014, respondents were first asked "Have you contacted the city in the past year?". If they answered that they had contacted the city, then they were asked additional questions about their experience. The "number of respondents" field represents the number of people who answered yes to the contact question.

    Responses of "don't know" are not included in this dataset, but can be found in the dataset for the entire Community Survey. A survey was not completed for 2015.

    The performance measure dashboard is available at 2.02 Customer Service Satisfaction.

    Additional Information

    Source: Community Attitude Survey

    Contact: Wydale Holmes

    Contact E-Mail: Wydale_Holmes@tempe.gov

    Data Source Type: Excel and PDF

    Preparation Method: Extracted from Annual Community Survey results

    Publish Frequency: Annual

    Publish Method: Manual

    Data Dictionary


    --- Original source retains full ownership of the source dataset ---

  11. 2.02 Customer Service Satisfaction (dashboard)

    • datasets.ai
    • catalog.data.gov
    21
    Updated Sep 14, 2024
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    City of Tempe (2024). 2.02 Customer Service Satisfaction (dashboard) [Dataset]. https://datasets.ai/datasets/2-02-customer-service-satisfaction-dashboard-a3950
    Explore at:
    21Available download formats
    Dataset updated
    Sep 14, 2024
    Dataset authored and provided by
    City of Tempe
    Description

    This operations dashboard shows historic and current data related to this performance measure.


    The performance measure dashboard is available at 2.02 Customer Service Satisfaction.

    Data Dictionary

  12. O

    Outsourced Customer Care Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 14, 2025
    + more versions
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    Data Insights Market (2025). Outsourced Customer Care Services Report [Dataset]. https://www.datainsightsmarket.com/reports/outsourced-customer-care-services-534584
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global outsourced customer care services market is valued at XXX million in 2025 and is expected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The market growth can be attributed to the rising demand for enhanced customer experiences, cost optimization, and the proliferation of digital technologies. Key market drivers include the increasing use of CRM technology hosting, the adoption of fulfillment/logistics services, and the growing need for customer interaction outsourcing. The market is segmented by application, type, and region, with pharma & healthcare, food & beverages, and construction emerging as significant application segments. The CRM technology hosting and fulfillment/logistics segments are expected to witness substantial growth due to the increasing need for efficient customer engagement and order fulfillment. Regionally, North America is the largest market for outsourced customer care services, followed by Europe and Asia Pacific. The United States, the United Kingdom, and China are major contributors to the market growth. Emerging markets in the Middle East & Africa and Asia Pacific are expected to offer significant growth opportunities due to the increasing adoption of outsourcing services by businesses in these regions. Key market players include Sykes Enterprises, Synnex Corporation, TeleTech Holdings Inc., Teleperformance, Transcom Worldwide, West Corporation, Infosys, SPi Global, StarTek Inc., Expert Global Solutions, Accenture, Amdocs, Aegis, Alorica, Sitel Worldwide Corporation, and Convergys Corporation. These companies offer a range of services such as call center operations, technical support, and customer data management, and are investing in innovative technologies to enhance their service offerings and expand their market share.

  13. O

    CTM Customer Satisfaction Survey Questions

    • data.austintexas.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Oct 7, 2024
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    City of Austin, Texas - data.austintexas.gov (2024). CTM Customer Satisfaction Survey Questions [Dataset]. https://data.austintexas.gov/dataset/CTM-Customer-Satisfaction-Survey-Questions/63q8-4wy9
    Explore at:
    application/rssxml, json, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    Description

    The Communications and Technology Management (CTM) Department asks customers to fill out a survey rating our customer service to gain valuable insights into their experiences and satisfaction levels. This feedback helps us identify areas where we excel and highlights opportunities for improvement, ensuring we consistently meet and exceed our customers' expectations. By understanding their perspectives, we can make informed decisions that enhance our services and foster stronger relationships. Ultimately, these surveys empower us to create a better experience for everyone, demonstrating our commitment to continuous growth and customer care. These questions have remained consistent year over year since 2015 through 2024.

  14. Customer live chat duration worldwide 2016-2022

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Customer live chat duration worldwide 2016-2022 [Dataset]. https://www.statista.com/statistics/818615/customer-live-chat-duration-worldwide/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, customer support live chats lasted on average 713 seconds (or 11 minutes and 53 seconds). This represented an increase compared to 2021, when live chats were approximately 45 seconds shorter.

  15. d

    Improving the Customer Experience from Multiple Perspectives

    • catalog.data.gov
    Updated Apr 19, 2025
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    opendata.maryland.gov (2025). Improving the Customer Experience from Multiple Perspectives [Dataset]. https://catalog.data.gov/dataset/improving-the-customer-experience-from-multiple-perspectives-bafa8
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    opendata.maryland.gov
    Description

    SDAT customer service improvement from multiple perspectives FY22 Customer Service Annual Report

  16. F

    Consumer Price Index for All Urban Consumers: Hospital and Related Services...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Hospital and Related Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SEMD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Hospital and Related Services in U.S. City Average (CUSR0000SEMD) from Jan 1978 to May 2025 about hospitals, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  17. Importance of human customer service to millennials in the U.S. 2022

    • statista.com
    Updated Oct 9, 2023
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    Statista (2023). Importance of human customer service to millennials in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/1338595/millennials-importance-human-customer-service-usa/
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    Dataset updated
    Oct 9, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2022
    Area covered
    United States
    Description

    During a 2022 survey carried out in the United States, 90 percent of responding millennial consumers stated that it was important or very important to them that they could contact a real person when communicating with a business. Only two percent said it was not important or not at all important.

  18. 1823 External Customer Satisfaction Survey Score Data | DATA.GOV.HK

    • data.gov.hk
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    data.gov.hk, 1823 External Customer Satisfaction Survey Score Data | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-dpo-statistic-survey
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    Dataset provided by
    data.gov.hk
    Description

    1823 provides a round-the-clock one-stop service to answer enquiries for 23 departments and to receive complaints about any area of Government services. Data on external customer satisfaction survey score related to the performance of 1823 will be provided.

  19. Census Customer Services Contacts database

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    • +1more
    Updated Dec 12, 2013
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    Office for National Statistics (2013). Census Customer Services Contacts database [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/NDRkODVkMTItMDRhNC00YzZjLWIzNzQtYmQ2MDRjNzMyZjUw
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    Dataset updated
    Dec 12, 2013
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Description

    Contacts database with customer details regarding census products and recipients of census news alerts

  20. w

    Data from: Customer Service Module

    • data.wu.ac.at
    csv, json, xml
    Updated Sep 11, 2018
    + more versions
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    311, DoITT (2018). Customer Service Module [Dataset]. https://data.wu.ac.at/schema/data_ny_gov/cHNxcy1icnRl
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    xml, json, csvAvailable download formats
    Dataset updated
    Sep 11, 2018
    Dataset provided by
    311, DoITT
    Description

    The DEP Customer Service dataset will contain information about the different types of complaints received /processed on a regular basis. The data set will include complaint information such as complaint type, location, status, or resolution code.

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Statista (2025). Easiest-to-use customer service channels in U.S. 2022 [Dataset]. https://www.statista.com/statistics/816704/communication-channels-easy-to-use-with-customer-service-united-states/
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Easiest-to-use customer service channels in U.S. 2022

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Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 2022
Area covered
United States
Description

In 2022, the communication channel that was considered to be the easiest to use in customer service in the United States was a ******************. ** percent of respondents chose this as their answer, whereas only ** percent stated a live video chat was the easiest communication channel to use.

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