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TwitterRecords from operating a customer call center or service center providing services to the public. Services may address a wide variety of topics such as understanding agency mission-specific functions or how to resolve technical difficulties with external-facing systems or programs. Includes:rn- incoming requests and responsesrn- trouble tickets and tracking logs rn- recordings of call center phone conversations with customers used for quality control and customer service trainingrn- system data, including customer ticket numbers and visit tracking rn- evaluations and feedback about customer servicesrn- information about customer services, such as “Frequently Asked Questions” (FAQs) and user guidesrn- reports generated from customer management datarn- complaints and commendation records; customer feedback and satisfaction surveys, including survey instruments, data, background materials, and reports.
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TwitterThis 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.
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TwitterIn 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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TwitterDuring a 2022 survey carried out in the United States, ** 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 *** percent said it was not important or not at all important.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides Customer Service Satisfaction results from the Annual Community Survey. The survey questions assess satisfaction with overall customer service for individuals 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 is 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 InformationSource: Community Attitude SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary
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TwitterThis 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).
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TwitterThis operations dashboard shows historic and current data related to this performance measure.
The performance measure dashboard is available at 2.02 Customer Service Satisfaction.
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TwitterDuring a 2022 survey carried out in the United States, ** percent of responding Generation Z consumers stated that it was important or very important to them that they could contact a real person when communicating with a business. Only *** percent said it was not important or not at all important.
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TwitterAccording to a survey conducted in March 2024 among online shoppers, ** percent of consumers in the United States had stopped shopping with a brand they received poor customer service from, while ** percent of them had written a bad review online. Meanwhile, about ** percent had shared their experience on social media.
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TwitterPremium 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:
Define your target audience criteria
Recommend optimal data selections
Provide sample data for testing
Configure delivery methods and formats
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.
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TwitterMDH Customer Service Report FY21- Improving the Customer Experience from Multiple Perspectives
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TwitterSeattle has seven Customer Service Centers and one mobile unit located throughout the city. These "little city halls", formerly known as neighborhood service centers, are where you can go to find information about Seattle services and programs. In addition, they provide payment and information services with customer service representatives assisting more than 225,000 residents each year to obtain pet licenses, pay City Light and Combined Utility bills, pay traffic tickets, apply for U.S. passports (except the downtown SMT Customer Service Center), or to find information about City of Seattle jobs. See website for more information.Displays data from DON.CSTMRSRVCCNTRS. Labels are based on the attribute NAME.Updated as needed, last update August 2022.
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Twitterhttps://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html
This dataset contains synthetically generated emails that a customer care email unit will receive.
This dataset is a synthetically generated dataset using Gemini Pro. It is designed for the following hypothetical scenario.
Aetheros is a middleware solutions company for web apps. They have five main services: API development, API Monitoring, IAM, API development language called Mercury, and a fully managed cloud service. These services can be summarised as follows: 1. API Development: We create custom, scalable, and secure APIs to enable seamless integration and communication between your software systems. 2. API Monitoring: Our real-time monitoring and analytics ensure your APIs perform optimally, identifying issues before they impact users. 3. Identity and Access Management (IAM): We protect your digital assets with advanced IAM solutions, managing user identities and access permissions securely. 4. Mercury Language: Our proprietary language streamlines API development, offering a high-level syntax that reduces complexity and enhances productivity. 5. Cloud Management: We optimize your cloud infrastructure for peak performance, providing deployment, monitoring, optimization, and security services.
All the emails in this dataset will be about some issues, inquiries or suggestions about the aforementioned services. Emails are organised into email threads and each email thread will typically consist about 4-5 emails.
This dataset can be used for sentiment analysis operations on emails or for training purposes such as training an email analysis model.
| Field Name | Data Type | Data Range | Sample Data | Field Description |
|---|---|---|---|---|
| subject | String | N/A | "Mercury documentation issue" | Subject of the email thread |
| sender | String | N/A | "john.smith@gmail.com" | Email of the customer |
| receiver | String | N/A | "support@aetheros.com" | Email of the company account |
| timestamp | DateTime | N/A | "2023-10-26T10:02:34Z" | Date and time when the email was received |
| message_body | String | N/A | "Hi aetheros support, I am finding difficulty..." | Email message |
| thread_id | String (unique) | N/A | "aa001-8e561ac9-5823-421f-9d05-e4c2a80a26d7" | Unique string ID for each email ... |
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 5 verified Appliances customer service businesses in Alicante, Spain with complete contact information, ratings, reviews, and location data.
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Twitterhttp://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html
The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.
Use this dataset to classify what product or service a complaint is pointing to, given the complaint narrative provided by the customer. Link: https://catalog.data.gov/dataset/consumer-complaint-database
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TwitterAs of July 2024, about ** percent of British customers stated that they preferred getting excellent service in the automotive sector, even if it means paying more for it. Two years earlier, this share stood at **** percent.
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Twitterhttps://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Intelligent Robot Customer Service System market is rapidly evolving, fueled by the increasing demand for enhanced customer experiences through innovative technology. These advanced systems leverage artificial intelligence (AI) and machine learning to provide efficient, round-the-clock support, streamlining cust
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Consumer Price Index for All Urban Consumers: Education and Communication Services in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) (CUURA320SAES) from Dec 2009 to Aug 2025 about communication, Miami, education, FL, urban, consumer, CPI, services, inflation, price index, indexes, price, and USA.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Consumer Price Index for All Urban Consumers: Education and Communication Services in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) (CUUSA320SAES) from H1 2010 to H1 2025 about communication, Miami, education, FL, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.
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TwitterThis provides the underlying data and volumes behind the reported performance of CSG Customer Service and presented quarterly to the Performance and Contract Management Committee. It is recognised that the email volumes recorded do not reflect the total number of emails received by the council as has always been the case, and includes some webforms. This does not affect the quality of the service but needs to be addressed to show the full level of email and webform contact across the council’s services
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TwitterRecords from operating a customer call center or service center providing services to the public. Services may address a wide variety of topics such as understanding agency mission-specific functions or how to resolve technical difficulties with external-facing systems or programs. Includes:rn- incoming requests and responsesrn- trouble tickets and tracking logs rn- recordings of call center phone conversations with customers used for quality control and customer service trainingrn- system data, including customer ticket numbers and visit tracking rn- evaluations and feedback about customer servicesrn- information about customer services, such as “Frequently Asked Questions” (FAQs) and user guidesrn- reports generated from customer management datarn- complaints and commendation records; customer feedback and satisfaction surveys, including survey instruments, data, background materials, and reports.