Records 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.

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.

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.

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

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).

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.

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.

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

A number of polluting activities and operations require permits or licences. To save applicants' time, the EPD has established Customer Service Counters at all of its Regional Offices. The department also receive electronic submissions. For details, please refer to EPD Webpage.

Customer Support Software Market Outlook

The global customer support software market is poised for significant growth, projected to expand from a market size of approximately USD 12 billion in 2023 to nearly USD 22 billion by 2032, at a compound annual growth rate (CAGR) of around 7%. This growth is primarily driven by the increasing need for businesses to efficiently manage customer interactions in a digital-first world. As companies strive to enhance customer engagement and retention, the adoption of advanced customer support software solutions becomes integral. The rise of e-commerce, remote work, and digital transformation across various sectors are some of the pivotal factors propelling market expansion.

One of the primary growth factors of the customer support software market is the ongoing digital transformation across industries. Companies are increasingly investing in advanced technologies to enhance their operational efficiency and improve customer satisfaction. Customer support software plays a crucial role in this transformation by streamlining customer interactions, automating repetitive tasks, and providing valuable insights into customer behavior. The shift towards omnichannel support is another significant trend driving market growth. Customers today expect seamless interactions regardless of the platform they choose to engage with a company on, whether it's through social media, chat, email, or phone. Customer support software solutions that offer integrated omnichannel capabilities enable businesses to meet these expectations and enhance the overall customer experience.

Another factor contributing to the market growth is the rising demand for personalized customer experiences. Modern consumers expect businesses to understand their unique preferences and provide tailored solutions. Customer support software, powered by artificial intelligence and machine learning, enables companies to analyze customer data and deliver personalized support at scale. This personalization not only enhances customer satisfaction but also fosters loyalty and retention. Moreover, AI-powered chatbots and virtual assistants are increasingly being used to automate routine queries and provide instant responses, allowing human agents to focus on more complex issues. This automation is crucial for businesses to handle large volumes of customer inquiries efficiently, especially during peak times.

Furthermore, the increasing emphasis on customer-centric business strategies is driving the adoption of customer support software solutions. Companies are realizing the value of customer support in building brand loyalty and differentiating themselves in a competitive market. As a result, they are investing in software solutions that enable them to track customer interactions, measure satisfaction levels, and continuously improve their support processes. The integration of advanced analytics and reporting capabilities in customer support software allows businesses to gain deeper insights into customer needs, identify trends, and make data-driven decisions. These insights are invaluable for enhancing the quality of support and ensuring a positive customer experience.

Regionally, North America holds a significant share of the customer support software market, driven by the presence of major technology companies and early adopters of advanced customer service solutions. The region's technological infrastructure and focus on innovation create a conducive environment for the growth of customer support software. Additionally, Asia Pacific is expected to witness substantial growth during the forecast period, driven by the rapid digitalization of businesses and the increasing focus on improving customer experience in emerging economies. The region's large population base and rising internet penetration further contribute to the demand for customer support software. Europe and Latin America also present growth opportunities as businesses in these regions recognize the importance of efficient customer support in maintaining competitive advantage.

Component Analysis

The customer support software market is primarily divided into two core components: software and services. Software solutions are the backbone of customer support operations, providing the necessary tools and platforms for businesses to manage and resolve customer inquiries effectively. These solutions range from basic helpdesk software to comprehensive customer relationship management (CRM) systems that offer integrated support features. The software segment is further categorized into cloud-based and on-premises solutions, catering to the diverse needs and p

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 ---

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.

MDH Customer Service Report FY21- Improving the Customer Experience from Multiple Perspectives

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

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.

🇦🇺 호주

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

Seattle 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.

A collection of customer service statistics including number of telephone inquiries, correspondence, visitors etc. ## Related Archives of Ontario Tours and Speakers Bureau

The global customer support software market is experiencing robust growth, driven by the increasing adoption of cloud-based solutions, the rising demand for omnichannel support, and the growing need for improved customer experience. The market, estimated at $20 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 15%. This growth is attributed to several key factors. Businesses are increasingly recognizing the strategic importance of providing seamless and efficient customer support to enhance customer satisfaction and loyalty. The shift towards digital channels and the growing preference for self-service options are further propelling market expansion. Furthermore, the integration of AI-powered features, such as chatbots and intelligent routing, is enhancing the efficiency and effectiveness of customer support operations, driving wider adoption. Competition in the market is intense, with established players like Salesforce, Zendesk, and Freshworks competing alongside innovative startups offering specialized solutions. While the market presents significant opportunities, challenges remain, including the need for robust data security and privacy measures, the complexity of integrating with existing systems, and the ongoing need for skilled personnel to manage these sophisticated systems. The segmentation of the market reveals strong demand across various industry verticals, with significant growth expected in sectors such as e-commerce, technology, and finance. Geographical expansion also presents considerable potential, with developing economies showing increased adoption rates. However, regional variations in digital infrastructure and technological adoption may influence market penetration. The forecast period anticipates continued growth, driven by evolving customer expectations, technological advancements, and the ongoing digital transformation across various industries. Market leaders are focusing on strategic acquisitions, partnerships, and product innovations to maintain their competitive edge and capitalize on emerging opportunities. The market’s future trajectory will be shaped by the successful integration of new technologies, the ongoing evolution of customer service strategies, and the ability of vendors to meet the evolving needs of a digitally savvy customer base.