100+ datasets found
  1. d

    MTA Customer Feedback Data: 2014-2019

    • catalog.data.gov
    • data.ny.gov
    Updated Aug 16, 2024
    + more versions
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    data.ny.gov (2024). MTA Customer Feedback Data: 2014-2019 [Dataset]. https://catalog.data.gov/dataset/mta-customer-feedback-data-beginning-2014
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    Dataset updated
    Aug 16, 2024
    Dataset provided by
    data.ny.gov
    Description

    This dataset contains information on customer feedback submitted by riders of the transit system on the MTA’s website. For each piece of feedback provided, it is categorized as a complaint or commendation, and there is information provided for the agency (Buses, Subway, Long Island Rail Road, or Metro-North Railroad), the subject matter, the subject detail, the issue detail, the year, the quarter, and, if applicable, the branch/line/route.

  2. Global Customer Feedback Software Market Size By Deployment Type, By...

    • verifiedmarketresearch.com
    Updated Aug 29, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Customer Feedback Software Market Size By Deployment Type, By Application, By Type Of Feedback, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/customer-feedback-software-market/
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    Dataset updated
    Aug 29, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Customer Feedback Software Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

    Global Customer Feedback Software Market Drivers

    The market drivers for the Customer Feedback Software Market can be influenced by various factors. These may include:

    Increased Demand for Customer Experience Management: The Customer Feedback Software Market is driven by an increasing emphasis on customer experience management. Companies recognize that enhancing customer satisfaction leads to higher retention rates, brand loyalty, and positive word-of-mouth. As businesses strive to differentiate themselves in competitive markets, they are investing in tools that enable them to gather and analyze feedback effectively. These tools help in identifying pain points, understanding customer expectations, and aligning their services to meet those needs. Moreover, the growing awareness of customer-centric approaches is prompting organizations to adopt feedback systems that provide actionable insights, fostering innovation and service improvement.

    Integration of Advanced Technologies: The integration of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), is significantly transforming the Customer Feedback Software Market. These technologies allow for more sophisticated data analysis, enabling organizations to gain deeper insights into customer behaviors and preferences. AI-powered tools can automate sentiment analysis and predictive analytics, helping businesses anticipate customer needs and respond proactively. Furthermore, the incorporation of natural language processing enhances the ability to analyze open-ended feedback, capturing nuances in customer sentiment. As companies increasingly seek data-driven solutions to improve decision-making and personalize customer interactions, the demand for technologically advanced feedback software continues to rise.

    Global Customer Feedback Software Market Restraints

    Several factors can act as restraints or challenges for the Customer Feedback Software Market. These may include:

    High Implementation Costs: One of the primary market restraints for the Customer Feedback Software Market is the high implementation costs associated with these solutions. Many businesses, particularly small and medium enterprises (SMEs), may find it financially challenging to invest in comprehensive customer feedback systems. Expenses can include licensing fees, hardware requirements, and ongoing support and maintenance. As budget constraints prioritize immediate operational needs, companies may choose to forego investing in such software, thereby limiting market growth. Additionally, the perceived ROI may not always justify the upfront costs, leading to hesitation in adoption among potential customers.

    Data Privacy Concerns: Data privacy concerns present a significant restraint in the Customer Feedback Software Market. With increasing regulations like the GDPR and CCPA, companies must ensure that customer data collected through feedback systems complies with privacy laws. Many potential users may hesitate to adopt feedback software out of fear that it could inadvertently lead to data breaches or mishandling of sensitive customer information. This restraint not only affects the willingness of companies to implement such solutions but also necessitates extensive legal and compliance considerations, ultimately complicating the purchasing decision and slowing market adoption.

  3. 311 Customer Satisfaction Survey

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Jul 2, 2025
    + more versions
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    Office of Technology and Innovation (OTI) (2025). 311 Customer Satisfaction Survey [Dataset]. https://data.cityofnewyork.us/d/kizp-4dfk
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    csv, json, application/rdfxml, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    New York City Office of Technology and Innovationhttps://www.nyc.gov/content/oti/pages/
    Authors
    Office of Technology and Innovation (OTI)
    Description

    NYC311 Customer Satisfaction (CSAT) surveys provide 311 customers with an opportunity to provide feedback on the performance of 311 call takers in providing timely and knowledgeable customer service. CSAT survey offers are sent following a call to 311 during campaigns which take place sporadically throughout the year. Offers are sent via email and text message in all designated citywide languages.

    This dataset is updated when a survey campaign has concluded. Each row of data represents an individual survey response. Any potentially personally identifiable information has been removed.

    See the 311 Resolution Satisfaction Survey dataset for customer feedback on the resolution of their service request by the relevant agency.

  4. d

    Customer Feedback Data | Customer Experience Data | 140K+ companies | 5M+...

    • datarade.ai
    Updated Mar 9, 2024
    + more versions
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    WiserBrand.com (2024). Customer Feedback Data | Customer Experience Data | 140K+ companies | 5M+ reviews from PissedConsumer [Dataset]. https://datarade.ai/data-products/wiserbrand-com-customer-feedback-data-customer-experience-wiserbrand-com
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    WiserBrand.com
    Area covered
    Hungary, Bermuda, Luxembourg, Latvia, Finland, Austria, France, Bosnia and Herzegovina, Ukraine, Poland
    Description

    Comprehensive Consumer Review Dataset from PissedConsumer

    This unique, extensive dataset from PissedConsumer includes over 5 million reviews covering more than 140,000 companies globally. It is ideal for hedge funds, venture capital firms, and investment companies seeking to deepen their understanding of internal processes and predict emerging trends.

    Key Features:

    Volume and Coverage: Over 5 million reviews on 140,000 companies, offering a broad and precise view of consumer opinions.

    Detailed Complaint Insights: Each review includes a complaint title and text, allowing for an in-depth understanding of consumer issues and typical expectations.

    Desired Solutions: Data includes preferred resolutions, enabling analysis of company standards and responsiveness to consumer demands.

    Device and Date Specifics: Reviews include device type and activation dates, adding further context to your analysis.

    Geographical Information: Data includes company locations down to the state and city levels for precise regional analysis.

    Company and Industry Data: Reviews are organized by company name and industry type, facilitating targeted research.

    This unique dataset from PissedConsumer offers investment analysts valuable insights into consumer needs, business resilience, and improved investment strategies. Leverage this resource for more accurate stock price forecasting, understanding customer satisfaction levels, and assessing companies’ operational practices in competitive markets.

    Category: Consumer Review Data

  5. H

    Dataset for "Customer Feedback Text Analysis for Online Stores Reviews in...

    • dataverse.harvard.edu
    Updated Nov 7, 2018
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    Tsvetanka Georgieva-Trifonova; Milena Stefanova; Stefan Kalchev (2018). Dataset for "Customer Feedback Text Analysis for Online Stores Reviews in Bulgarian" [Dataset]. http://doi.org/10.7910/DVN/TXIK9P
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 7, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Tsvetanka Georgieva-Trifonova; Milena Stefanova; Stefan Kalchev
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.7910/DVN/TXIK9Phttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.7910/DVN/TXIK9P

    Description

    The dataset Customer_feedback_bg consists of customer reviews for online stores in Bulgarian. The data are retrieved from otzivi.bg and pazaruvaj.com, and represent user reviews in Bulgarian language about 87 online stores. 906 customer reviews were collected in free text and manually associated with the following categories: compliments, complaints, mixed, suggestions. Наборът от данни Customer_feedback_bg се състои от потребителски отзиви за онлайн магазини на български език. Данните са получени от otzivi.bg и pazaruvaj.com и представляват потребителски отзиви на български език за 87 онлайн магазина. Събрани са 906 потребителски отзива в свободен текст, които са ръчно асоциирани със следните категории: похвали, оплаквания, смесени, препоръки.

  6. Customer Feedback Handler

    • data.europa.eu
    • cloud.csiss.gmu.edu
    Updated Apr 30, 2021
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    Department for Work and Pensions (2021). Customer Feedback Handler [Dataset]. https://data.europa.eu/data/datasets/customer-feedback-handler?locale=et
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    Dataset updated
    Apr 30, 2021
    Dataset authored and provided by
    Department for Work and Pensionshttps://gov.uk/dwp
    Description

    Database to record customer feedback. The database records details of customers who have contacted DWP with compliments, complaints and suggestions. The system records Name, National Insurance Number , Date of Birth and Contact Details.

  7. A

    Customer Satisfaction

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    csv, json, rdf, xml
    Updated Jul 30, 2019
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    United States[old] (2019). Customer Satisfaction [Dataset]. https://data.amerigeoss.org/dataset/customer-satisfaction
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    csv, xml, rdf, jsonAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    Description

    Austin Energy is proactive in addressing customer needs and regularly monitors customer satisfaction through customer surveys. In recent years, overall customer satisfaction has gone down. The drivers of the lower satisfaction are customer perceptions of price and value resulting from an overall increase in utility bills, despite Austin Energy providing reasonable and affordable electric rates. Residential and Commercial surveys are conducted quarterly while key account surveys are administered annually. Find more information at http://austinenergy.com/go/reports.

  8. D

    Customer Feedback Tools Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Customer Feedback Tools Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/customer-feedback-tools-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Customer Feedback Tools Market Outlook



    The global customer feedback tools market size was valued at USD 2.5 billion in 2023 and is expected to reach USD 6.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The market's growth is primarily driven by the increasing importance of customer feedback in shaping business strategies, enhancing customer satisfaction, and improving overall organizational efficiency.



    One of the primary growth factors for the customer feedback tools market is the rapid digital transformation across various industries. As businesses strive to stay competitive, they are increasingly adopting digital tools to streamline their operations and improve customer interactions. Customer feedback tools help organizations gather valuable insights from their customers, which can be used to enhance products and services, identify areas for improvement, and ultimately drive customer loyalty. Furthermore, the growing emphasis on personalized customer experiences is pushing businesses to invest in advanced feedback solutions that can provide actionable insights.



    Another significant factor contributing to the market's growth is the rising adoption of cloud-based solutions. Cloud-based customer feedback tools offer several advantages over traditional on-premises systems, including lower costs, greater scalability, and easier integration with other business applications. This flexibility is particularly appealing to small and medium-sized enterprises (SMEs) that may lack the resources to invest in expensive on-premises infrastructure. Additionally, the ongoing advancements in artificial intelligence (AI) and machine learning (ML) technologies are enabling more sophisticated analysis of customer feedback, further driving the market's expansion.



    The increasing focus on regulatory compliance and data privacy is also playing a crucial role in the growth of the customer feedback tools market. As data protection regulations become more stringent worldwide, organizations are seeking feedback solutions that can help them ensure compliance while still gathering useful customer insights. This trend is particularly evident in industries such as healthcare and finance, where the handling of sensitive customer information is subject to strict regulatory requirements. As a result, the demand for secure and compliant customer feedback tools is on the rise.



    In the evolving landscape of customer feedback tools, Consumer Ratings & Reviews Software is gaining prominence as businesses increasingly recognize the value of direct consumer insights. This software allows companies to collect and analyze consumer opinions and ratings on products and services, providing a wealth of data that can be used to refine offerings and enhance customer satisfaction. By leveraging Consumer Ratings & Reviews Software, organizations can not only track customer sentiment but also identify trends and patterns that might otherwise go unnoticed. This capability is particularly valuable in today's competitive market, where understanding the voice of the customer is critical to maintaining a competitive edge. Furthermore, the integration of such software with existing customer feedback tools can offer a more comprehensive view of customer experiences, driving strategic decisions and fostering customer loyalty.



    Regionally, North America is expected to hold the largest share of the customer feedback tools market during the forecast period, driven by the presence of a large number of technology-savvy businesses and the early adoption of digital transformation initiatives. Europe is also anticipated to witness significant growth, fueled by the increasing emphasis on customer experience management and the adoption of advanced feedback solutions. The Asia Pacific region is projected to experience the highest growth rate, owing to the rapid expansion of the retail and e-commerce sectors, as well as the growing popularity of cloud-based solutions among SMEs.



    Type Analysis



    The customer feedback tools market can be segmented by type into software and services. The software segment is expected to dominate the market, driven by the increasing demand for automated feedback collection and analysis solutions. These software tools enable organizations to gather real-time feedback from multiple channels, such as websites, mobile apps, and social media platforms. The ability to integrate these tools with ot

  9. d

    MTA NYCT Customer Feedback Performance Metrics: 2017-2022

    • catalog.data.gov
    • data.ny.gov
    Updated Aug 2, 2024
    + more versions
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    data.ny.gov (2024). MTA NYCT Customer Feedback Performance Metrics: 2017-2022 [Dataset]. https://catalog.data.gov/dataset/mta-customer-feedback-performance-metrics-beginning-2017
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    Dataset updated
    Aug 2, 2024
    Dataset provided by
    data.ny.gov
    Description

    This dataset includes monthly customer feedback performance metric data for NYCT. For Subways, Buses, Access-A-Ride, MetroCard, and Other NYCT, there is data on the total number of complaints and commendations, and the number of complaints and commendations per 100,000 riders, along with monthly ridership.

  10. D

    Customer Feedback Software Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Customer Feedback Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-customer-feedback-software-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Dec 3, 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

    Customer Feedback Software Market Outlook



    The global customer feedback software market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach around USD 6.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 12% from 2024 to 2032. The remarkable growth in this market is driven by the increasing importance businesses place on customer-centric strategies and the need for continuous improvements based on customer insights. As the global marketplace becomes more competitive, organizations are realizing the critical value of understanding customer feedback to enhance product offerings, improve customer service, and foster brand loyalty.



    A significant growth factor for the customer feedback software market is the rising adoption of digital transformation across various industries. Companies are transitioning from traditional methods of collecting feedback, such as paper surveys and suggestion boxes, to more efficient and scalable digital platforms. These platforms enable real-time feedback collection and analysis, providing organizations with actionable insights that can be quickly implemented. Additionally, artificial intelligence and machine learning integration into feedback software are making it possible to analyze massive datasets efficiently, gaining deeper insights into customer sentiment, preferences, and trends.



    Another key factor driving the market growth is the increasing focus on personalized customer experiences. Businesses are using customer feedback tools to collect data that helps them understand individual customer preferences and behaviors. This data is then used to tailor offerings and interactions to meet the unique needs of each customer, thereby enhancing customer satisfaction and loyalty. Personalization, driven by accurate customer feedback, has become a key differentiator in industries such as retail, hospitality, and IT services, where customer experience is paramount.



    The growing emphasis on regulatory compliance and quality standards, particularly in sectors like healthcare and BFSI, is also contributing to the market's expansion. Organizations in these sectors are required to maintain high standards of service quality and customer satisfaction, making reliable feedback collection systems essential. Customer feedback software offers structured and reliable means to gather and analyze feedback, ensuring compliance with regulations and setting benchmarks for quality improvement. This necessity for compliance and quality assurance is expected to further fuel demand for advanced feedback solutions.



    Regionally, North America is expected to dominate the customer feedback software market, attributed to the high adoption rate of advanced technologies and the presence of a large number of market players. The U.S. and Canada, in particular, are witnessing a surge in the use of feedback tools across industries such as retail and IT. Asia Pacific, however, is projected to witness the highest CAGR during the forecast period due to rapid technological advancements and growing awareness among businesses about the benefits of customer feedback. Emerging economies like India and China are increasingly investing in customer feedback mechanisms to drive competitive advantage, further propelling market growth in the region.



    Component Analysis



    The customer feedback software market is broadly segmented based on components into software and services. The software component is the more dominant segment, as it forms the core of feedback collection and analysis systems. These software solutions encompass various functionalities, including survey creation, data collection, sentiment analysis, and reporting dashboards. The flexibility and scalability offered by software solutions are key reasons for their widespread adoption across different industries. Additionally, the ongoing development of AI-driven software tools is enhancing the capability to provide predictive analytics and insights into customer behavior, further boosting the segment's growth.



    Within the software segment, there is a notable trend towards the integration of artificial intelligence and machine learning technologies. These technologies enable more sophisticated data analysis, allowing businesses to gain deeper insights from customer feedback. AI-powered sentiment analysis, for instance, can automatically interpret the emotions expressed in customer comments, providing a nuanced understanding of customer satisfaction levels. This advancement is driving businesses to invest in enhanced software packages that offer a competitive edge in understan

  11. C

    Customer Feedback Tools Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Market Research Forecast (2025). Customer Feedback Tools Report [Dataset]. https://www.marketresearchforecast.com/reports/customer-feedback-tools-537710
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Customer Feedback Tools market is experiencing robust growth, driven by the increasing need for businesses to understand customer preferences and improve products and services. The market's expansion is fueled by several key factors: the rising adoption of digital channels, the growing importance of customer experience (CX) as a key differentiator, and the proliferation of advanced analytics capabilities within feedback platforms. Businesses are increasingly leveraging these tools to gather data across multiple touchpoints, including surveys, social media, and in-app feedback, enabling a holistic view of customer sentiment. This trend is further strengthened by the increasing availability of sophisticated tools capable of analyzing unstructured data (e.g., open-ended survey responses, social media comments) to glean actionable insights. The market is witnessing a shift towards more integrated platforms that offer a comprehensive suite of capabilities, from survey creation and distribution to advanced sentiment analysis and reporting. This integration streamlines workflows and provides a more cohesive view of customer feedback. The competitive landscape is highly fragmented, with a mix of large established players and smaller niche providers. While larger companies enjoy greater market share based on brand recognition and comprehensive offerings, smaller players often specialize in specific areas, providing agile and tailored solutions to niche markets. This competition drives innovation and offers diverse choices for businesses of all sizes. Looking ahead, the market's continued growth will be shaped by several factors. The increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML) in feedback analysis will allow businesses to extract deeper insights from customer data more efficiently. Furthermore, the growing focus on personalized customer experiences will necessitate more sophisticated tools capable of segmenting data and tailoring communication based on individual customer needs. However, challenges remain, including data privacy concerns and the need for businesses to effectively manage the increasing volume of feedback data generated by customers. The market will likely see further consolidation through acquisitions and mergers as larger players seek to expand their product portfolios and gain a competitive edge. The long-term outlook for the Customer Feedback Tools market remains positive, with continuous innovation and growing demand expected to drive significant market expansion in the coming years. We estimate a Compound Annual Growth Rate (CAGR) of 15% for the forecast period (2025-2033) resulting in a market size exceeding $5 billion by 2033, starting from an estimated $2 billion in 2025.

  12. Customer Satisfaction Feedback Initiative (CSFI) Monthly Partner Survey...

    • open.canada.ca
    • datasets.ai
    • +2more
    csv
    Updated Nov 20, 2024
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    Shared Services Canada (2024). Customer Satisfaction Feedback Initiative (CSFI) Monthly Partner Survey Results [Dataset]. https://open.canada.ca/data/en/dataset/460becb4-ef83-4728-bcaa-88f438daa54d
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Shared Services Canadahttps://www.canada.ca/en/shared-services.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2016 - Mar 31, 2019
    Description

    The dataset showcase the overall monthly results based on the partner organizations’ feedback on six statements, one per driver (shown below) – with the exception of Timeliness, which has two questions. Responses are calculated using a five-point scale from “Strongly Disagree” to “Strongly Agree”. 1. a) Timeliness: Overall, I am satisfied with the amount of time it took to receive SSC services. 1. b) Timeliness: When there is an unplanned outage or emergency, SSC addresses and resolves it in a timely manner. 2. Ease of Access: SSC service information is readily available online or from my SSC Account Team. 3. Positive Outcome: Overall, I was satisfied with the SSC services I received. 4. Process Aspects: When I have a problem or service delivery issue, SSC keeps me and my department up to date on the resolution. 5. Engagement Experience: My SSC Account Team manages the relationship effectively.

  13. d

    Customer Feedback Data | Customer Experience Data | Unique Consumer...

    • datarade.ai
    .csv, .xls, .txt
    Updated Dec 8, 2023
    + more versions
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    WiserBrand.com (2023). Customer Feedback Data | Customer Experience Data | Unique Consumer Sentiment Data: Transcription of the calls to the companies [Dataset]. https://datarade.ai/data-products/wiserbrand-customer-feedback-data-customer-experience-dat-wiserbrand-com
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    WiserBrand.com
    Area covered
    Iceland, Costa Rica, Isle of Man, Andorra, Italy, Bosnia and Herzegovina, Luxembourg, Guernsey, Switzerland, Åland Islands
    Description

    WiserBrand's Comprehensive Customer Call Transcription Dataset: Tailored Insights

    WiserBrand offers a customizable dataset comprising transcribed customer call records, meticulously tailored to your specific requirements. This extensive dataset includes:

    User ID and Firm Name: Identify and categorize calls by unique user IDs and company names. Call Duration: Analyze engagement levels through call lengths. Geographical Information: Detailed data on city, state, and country for regional analysis. Call Timing: Track peak interaction times with precise timestamps. Call Reason and Group: Categorised reasons for calls, helping to identify common customer issues. Device and OS Types: Information on the devices and operating systems used for technical support analysis. Transcriptions: Full-text transcriptions of each call, enabling sentiment analysis, keyword extraction, and detailed interaction reviews. Our dataset is designed for businesses aiming to enhance customer service strategies, develop targeted marketing campaigns, and improve product support systems. Gain actionable insights into customer needs and behavior patterns with this comprehensive collection, particularly useful for Consumer Data, Consumer Behavior Data, Consumer Sentiment Data, Consumer Review Data, AI Training Data, Textual Data, and Transcription Data applications.

    WiserBrand's dataset is essential for companies looking to leverage Customer Feedback Data and Customer Experience Data to drive their strategic initiatives in the English-speaking markets of the USA, UK, and Australia. By accessing this rich dataset, businesses can uncover trends and insights critical for improving customer engagement and satisfaction.

  14. d

    SPD 9-11 Customer Satisfaction Survey Data

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Jan 31, 2025
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    data.seattle.gov (2025). SPD 9-11 Customer Satisfaction Survey Data [Dataset]. https://catalog.data.gov/dataset/spd-9-11-customer-satisfaction-survey-data-51abc
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    data.seattle.gov
    Description

    Background: “In 2006, the Seattle Police Department began surveying members of the public (customers) who had personal contact with an officer after calling 9-1-1. The surveys have been conducted two to four times a year, and a total of 44 surveys have been conducted to date. These surveys have been designed to assess customers’ experiences and satisfaction with the service provided by the Seattle Police Department, and the results of the surveys have been used to assess service delivery; examine differences between precincts; identify strategies and tactics to achieve specific service objectives; and provide feedback to officers, precinct captains, and watch lieutenants. This report presents the results of the September 2019 customer survey and compares the September 2019 survey results to results from the 13 other surveys conducted since March 2016.” Research Methods. “Similar to the previous surveys, 200 customers who called 9-1-1 and had an officer dispatched to provide assistance were interviewed by telephone for this survey. All of the customers interviewed had called 9-1-1 between August 21 and August 29, 2019, and were randomly selected from lists of 9-1-1 callers who had an officer dispatched to provide assistance, excluding sensitive cases such as domestic violence calls. The interviews were completed between September 3 and September 10, 2019. The interviews were approximately 10 to 12 minutes long. The questionnaire used in the interviews was developed with Department input and approval. During the course of this research, some questions have been added to or deleted from the survey questionnaire to reflect the changing information needs of the Department. However, questions about customers’ overall satisfaction with their experience with the Department after calling 9-1-1, experiences with and opinions of the officer who first visited after the call to 9-1-1, opinions of the Seattle Police Department overall, and satisfaction with the service provided by the 9-1-1 operator have been included in every survey. Since late 2006 and early 2007, the surveys also included questions about customers’ feelings of safety in Seattle.”

  15. O

    Customer Satisfaction Survey 2015

    • data.qld.gov.au
    • researchdata.edu.au
    • +1more
    pdf, xlsx
    Updated Jun 12, 2025
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    Local Government, Water and Volunteers (2025). Customer Satisfaction Survey 2015 [Dataset]. https://www.data.qld.gov.au/dataset/customer-satisfaction-survey-2015
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    xlsx(19 KiB), pdf(122 KiB)Available download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    Local Government, Water and Volunteers
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Key results from the annual Mayor and Chief Executive Officer Survey

  16. Customer Feedback Sentiment

    • kaggle.com
    Updated Apr 3, 2025
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    Şahide ŞEKER (2025). Customer Feedback Sentiment [Dataset]. https://www.kaggle.com/datasets/sahideseker/customer-feedback-sentiment/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Şahide ŞEKER
    License

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

    Description

    🇺🇸 English:

    This dataset contains customer feedback messages labeled as positive or negative. It can be used to train sentiment classification models using Natural Language Processing (NLP) techniques. The feedback_text column contains the user feedback, and the label column indicates whether it is positive (1) or negative (0).

    🇹🇷 Türkçe:

    Bu veri seti, müşterilerden alınan geri bildirimleri içerir ve bu geri bildirimler olumlu veya olumsuz olarak etiketlenmiştir. Doğal Dil İşleme (NLP) teknikleri kullanılarak duygu analizi modelleri geliştirmek için uygundur. feedback_text sütunu müşteri yorumunu, label sütunu ise yorumun olumlu (1) ya da olumsuz (0) olduğunu belirtir.

  17. 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.

  18. S

    Survey and Feedback Management Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Market Research Forecast (2025). Survey and Feedback Management Software Report [Dataset]. https://www.marketresearchforecast.com/reports/survey-and-feedback-management-software-29109
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The global survey and feedback management software market is experiencing robust growth, driven by the increasing need for businesses across all sectors to understand customer preferences and improve operational efficiency. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions, the growing importance of data-driven decision-making, and the increasing focus on customer experience management (CEM). Businesses are leveraging these solutions to collect real-time feedback, analyze sentiment, identify areas for improvement, and ultimately enhance customer satisfaction and loyalty. The retail, BFSI (Banking, Financial Services, and Insurance), and healthcare sectors are significant adopters, utilizing the software for customer satisfaction surveys, employee feedback programs, and patient experience assessments. While on-premise solutions still hold a market share, the trend clearly points towards a preference for cloud-based solutions due to their scalability, cost-effectiveness, and accessibility. Competitive landscape analysis reveals a mix of established players and emerging innovative companies. The market is likely to witness further consolidation and innovation in the coming years, with a focus on enhancing features such as AI-powered analytics, advanced reporting capabilities, and seamless integration with other business systems. The projected Compound Annual Growth Rate (CAGR) for the market, although not explicitly stated, can be reasonably estimated, based on industry trends for similar software markets, to be around 15% for the forecast period (2025-2033). This growth will be supported by continued technological advancements, increasing digitalization across various industries, and the rising demand for personalized customer experiences. Market restraints include the initial investment costs for implementing the software, data security and privacy concerns, and the complexity of integrating the software with existing systems in some organizations. However, these challenges are being addressed through the development of more user-friendly interfaces, enhanced security protocols, and streamlined integration capabilities. Geographic expansion continues to drive growth with North America and Europe maintaining substantial market shares, while the Asia-Pacific region is projected to show significant growth potential in the coming years.

  19. D

    Customer Feedback Devices Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Customer Feedback Devices Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-customer-feedback-devices-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

    Customer Feedback Devices Market Outlook



    The global customer feedback devices market size is projected to grow from $2.5 billion in 2023 to $6.8 billion by 2032, reflecting a compound annual growth rate (CAGR) of 11.6%. This market's rapid expansion is driven by the increasing importance of customer experience management across various sectors.



    One of the primary growth factors for the customer feedback devices market is the rising emphasis on customer-centric strategies. In an era where customers have become more vocal and influential, businesses are increasingly focusing on understanding customer needs and preferences. This shift towards customer-centricity drives the demand for advanced feedback mechanisms that can capture real-time data and insights. Furthermore, the integration of Artificial Intelligence (AI) and Machine Learning (ML) in feedback devices is helping businesses analyze data more efficiently, thereby fostering market growth.



    Another significant growth factor is the technological advancements in feedback devices. Over the last decade, these devices have evolved from simple survey tools to sophisticated systems capable of providing in-depth analyses. The advent of IoT (Internet of Things) has further enhanced the capabilities of customer feedback devices, allowing for seamless data collection and transmission. These technological advancements make it easier for businesses to deploy feedback systems in various locations and formats, thereby contributing to the market's expansion.



    The increasing adoption of feedback devices in emerging markets also propels market growth. Developing regions, particularly in Asia Pacific and Latin America, are witnessing rapid digitization and urbanization. As businesses in these regions strive to enhance customer satisfaction and loyalty, the adoption of customer feedback devices is becoming more prevalent. Additionally, government initiatives aimed at promoting digital transformation and improving service quality further bolster the market in these regions.



    The advent of Real-Time Feedback Software has revolutionized how businesses collect and analyze customer feedback. Unlike traditional methods, this software allows companies to capture customer sentiments instantly, enabling them to make timely improvements and enhance customer satisfaction. By integrating real-time feedback mechanisms, businesses can respond to customer needs more effectively, fostering a more personalized customer experience. This capability is particularly beneficial in sectors like retail and hospitality, where immediate feedback can lead to swift service enhancements. As the demand for real-time insights grows, the adoption of such software is expected to accelerate, further driving the market's expansion.



    From a regional perspective, North America holds a significant share of the customer feedback devices market, driven by the high adoption rate of advanced technologies and the presence of numerous key market players. Europe also demonstrates substantial market potential, supported by stringent regulations concerning customer service and satisfaction. Meanwhile, Asia Pacific is anticipated to experience the highest growth rate during the forecast period, attributed to the rapid economic development and increasing focus on customer experience in countries like China and India.



    Product Type Analysis



    The product type segment includes Standalone Devices, Integrated Devices, and Software Solutions. Standalone devices, often found in retail stores, airports, and hospitals, are designed to capture immediate customer feedback through touchscreens or buttons. These devices are particularly popular due to their simplicity and ease of use. Despite their rudimentary nature, standalone devices have seen significant upgrades, such as the incorporation of facial recognition technology to gather more nuanced data.



    Integrated devices, which combine feedback collection with other functionalities like payment processing or customer service kiosks, are gaining traction in various industries. The integration of multiple services into a single device not only enhances operational efficiency but also provides a seamless customer experience. For instance, in the hospitality industry, integrated devices that handle both check-in processes and feedback collection can significantly improve guest satisfaction levels.



    Software solutions rep

  20. C

    Customer Feedback Management System Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 28, 2025
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    Data Insights Market (2025). Customer Feedback Management System Report [Dataset]. https://www.datainsightsmarket.com/reports/customer-feedback-management-system-1935550
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 28, 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 Customer Feedback Management (CFM) system market is experiencing robust growth, driven by the increasing need for businesses to understand customer preferences and improve operational efficiency. The market, estimated at $10 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 15% between 2025 and 2033, reaching approximately $30 billion by 2033. This expansion is fueled by several key factors. The widespread adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both large enterprises and small and medium-sized businesses (SMEs). Furthermore, the growing emphasis on personalized customer experiences and the ability of CFM systems to provide actionable insights for product development and service improvement are significant drivers. The increasing availability of sophisticated analytics within these systems allows businesses to derive meaningful patterns from customer feedback, leading to better decision-making and improved customer loyalty. While the on-premises segment still holds a significant share, the cloud-based segment is rapidly gaining traction due to its inherent flexibility and accessibility. Geographic expansion, particularly in rapidly developing economies in Asia-Pacific and South America, is also contributing to market growth. However, market growth is not without its challenges. The high initial investment costs associated with implementing some CFM systems, especially the on-premises solutions, can be a barrier for smaller businesses. Furthermore, concerns surrounding data security and privacy, particularly with the increased reliance on cloud-based platforms, represent a significant restraint. The complexity of integrating CFM systems with existing business processes and the need for skilled personnel to effectively utilize the system's analytical capabilities also present challenges. Despite these hurdles, the overall market outlook remains positive, driven by the increasing recognition of the critical role customer feedback plays in business success and the continuous advancements in CFM technology. The competitive landscape is dynamic, with both established players and emerging startups vying for market share, fostering innovation and driving down costs.

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data.ny.gov (2024). MTA Customer Feedback Data: 2014-2019 [Dataset]. https://catalog.data.gov/dataset/mta-customer-feedback-data-beginning-2014

MTA Customer Feedback Data: 2014-2019

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Dataset updated
Aug 16, 2024
Dataset provided by
data.ny.gov
Description

This dataset contains information on customer feedback submitted by riders of the transit system on the MTA’s website. For each piece of feedback provided, it is categorized as a complaint or commendation, and there is information provided for the agency (Buses, Subway, Long Island Rail Road, or Metro-North Railroad), the subject matter, the subject detail, the issue detail, the year, the quarter, and, if applicable, the branch/line/route.

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