A survey of HMRC's customers experience. Updated: quarterly.
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This report is part of the GlobalData COVID-19 Consumer Insight series, which tracks changes in consumer sentiment, lifestyles, attitudes, and behaviors stemming from the global coronavirus outbreak. The consumer insight offered throughout the report is drawn from GlobalData's Coronavirus (COVID-19) Tracker Consumer Survey, a weekly survey that was carried out in 11 countries starting from March 25 2020. Read More
In 2023, the majority of contact center workers in the United States stated they agreed artficial intelligence (AI) had improved customer service when it came to customer information tasks during their workday. 40 percent agreed that AI had made their work easier.
During an April 2024 survey in the United States, approximately 48 percent of responding customer experience (CX) professionals said individualized customer support made a personalized customer experience; 43 percent of responding adult consumers agreed. However, customized products and services ranked second among CX experts, chosen by 39 percent of them, while 34 percent of participating consumers selected special offers and deals.
This statistic shows the importance of the use of real time customer analytics for customer experience in the United States as of March 2018. According to the source, 60 percent of respondents stated that they thought the use of real time customer analytics was very important for improving customer experience at the time of the survey.
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This report is part of the GlobalData Case Study report series, which analyzes trends explored on GlobalData's TrendSights map. The consumer insight offered throughout the report is drawn from GlobalData's global consumer survey, a quarterly survey designed to capture consumer sentiment as it evolves throughout the year. Read More
Data consists of 1) EPA measured fuel economy, in terms of miles per gallon (MPG) or miles per gallon equivalent (MPGe), were obtained from fueleconomy.gov for vehicle model years 2013, 2014, 2016, and 2017, and 2) New Vehicle Experience Survey (NVES) data for calendar years 2014, 2015, and 2016. The survey data is confidential business information (CBI). These data were matched at the make-model level of specificity. The data includes over 800,000 survey responses regarding consumer characteristics, vehicle attributes, consumer satisfaction, and the consumer purchase process plus fuel economy information for purchased and considered vehicles. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Request for access to the Strategic Vision New Vehicle Experience Survey data for calendar years 2014, 2015, and 2016 may be directed to the following: Edwards Associates Inc., The Attention: DBA Strategic Vision 10725 Tierrasanta Blvd. San Diego, CA 92124. Format: EPA measured fuel economy, in terms of miles per gallon (MPG) or miles per gallon equivalent (MPGe), were obtained from fueleconomy.gov for vehicle model years 2013, 2014, 2016, and 2017. These data were matched at the make-model level of specificity to New Vehicle Experience Survey data for calendar years 2014, 2015, and 2016. The survey data is confidential business information (CBI). The fuel economy data and survey data were initially downloaded and received as comma delimited files and later processed using statistical software (i.e., SAS, R, Python). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.
This is an annual customer survey sent out to City of Mesa employees. The survey asks employees to rate their overall satisfaction with Information Technology Services. This metric reports the score of those who report satisfied or very satisfied with overall performance of IT services
According to a March 2023 survey, 90 percent of the respondents in Hong Kong stated that they would quit purchasing a brand due to a lack of personalized customer experience (CX). Across the Asia-Pacific region, CX was least important for Australian respondents, with just over half of them viewing it as crucial for their continued engagement with a brand.
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When high uncertainty becomes the norm in entrepreneurship, entrepreneurial failure often becomes the first natural barrier that new ventures face. In dynamic environment, there is still a lack of clear answers on what strategic orientation new ventures need to adopt to improve organizational learning efficiency and achieve sustainable development. Lean startup theory believes that the entrepreneurial process is also a process where organizational cognition is constantly iterated and updated, which drives entrepreneurs to explore business opportunities through iteration learning and early customer insight. The paper aims to describe and examine the relationship between lean startup strategy, organizational iterative learning, and sustainable development of new ventures. This model is tested on the survey data of R&D departments of 325 technology new ventures in China. The research results show that: lean startup strategy can positively affect sustainable performance of new ventures; organizational iterative learning plays a mediating role in the relationship between lean startup strategy and sustainable development; market dynamics positively moderate the relationship between organizational iterative learning and sustainable development, while technology dynamics negatively moderate this relationship; furthermore, the two also moderate the process of lean startup strategy influencing sustainable development through organizational iterative learning, and that moderated mediating effect is significant. The research results reveal that entrepreneurs should deepen lean startup practices in new business layout, advocate the iteration and output of advanced knowledge, help enterprises establish proprietary knowledge barriers, and achieve sustainable development.
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Data included in QFD Community Insights Survey. (QFES was renamed QFD 01/07/2024)
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Chinese traditional cultural symbols possess great aesthetic and cultural value, and are widely utilized in product design. In this study, we explore the relationship between metaphor design based on traditional cultural symbols, customer experience and cultural identity, and further estimate how these three variables stimulate consumers’ perceived value to generate consumers’ purchase intention. Based on existing traditional cultural literature and Stimulus-organism-response theory (SOR), we proposed a theoretical research model to characterize the relationship among metaphor design based on traditional cultural symbols, customer experience, cultural identity, perceived value and consumers’ purchase intention. A research survey was conducted and 262 questionnaires were collected in total with 241 valid. We used Smart PLS graph version 3.0 for data analysis. Results indicate that the cognition of metaphor design based on traditional cultural symbols and customer experience has a direct and significant impact on the emotional value thereby, eliciting consumers’ purchase intention, metaphor design based on traditional cultural symbols is directly and indirectly (i.e., through customer experience or perceived value) positively associated with consumers’ purchase intention, also customer experience is directly and indirectly (i.e., through perceived value) associated with consumer purchase intention, cultural identity mediates the indirect effect of customer experience and perceived value on purchase intention, the moderating role of cultural identity between customer experience and perceived value is not significant. Our findings help to expand the existing literature on consumer purchase intentions by rationally using traditional cultural symbols in the product metaphor design.
The NordicsB2B e-commerce companies tailored the digital experience of their customers, according to a survey from 2024. Half of the companies understand their customers
journey through interviews, followed by 46 percent who stated they use internal knwoledge.
The 2024 Socio-Economic Insights Survey (SEIS) in Romania is a comprehensive regional assessment conducted from May to July 2024, focusing on the needs of refugees in Romania, particularly those from Ukraine. This multi-sectoral survey aims to capture key data on refugees' socio-economic integration, access to national systems, and their priorities for the coming year, providing valuable insights to inform the 2025 Refugee Response Plan (RRP). The survey employs a stratified random sampling method and involves face-to-face and online interviews with refugees, covering topics such as health, education, protection, food security, and livelihoods. The collected data is anonymized and cleaned for use in policy planning and intervention development. The findings highlight gaps in services and provide crucial information on the changing trends in refugees’ needs, contributing to a more targeted and effective response to refugee challenges in Romania.
Abstract copyright UK Data Service and data collection copyright owner.
The Employer Perspectives Survey (EPS) is a large scale survey of UK employers across all sectors of the economy and is part of a series of studies historically commissioned by the UK Commission for Employment and Skills (UKCES) to provide robust and reliable labour market information. Following the closure of the UKCES ownership of the survey transferred to the Department for Education (DfE) in late 2016.The 2024 Socio-Economic Insights Survey (SEIS) in Lithuania, conducted under the Regional Refugee Response Plan for the Ukraine Situation, provides a detailed analysis of the socio-economic conditions of Ukrainian refugees in Lithuania. Covering 638 households and 1,445 individuals, the survey employed purposive sampling and in-person Kobo-based interviews. It focused on areas such as demographics, protection, education, socio-economic inclusion, health, and accommodation. Data collection, carried out between May and June 2024 by the Lithuanian Red Cross and the International Organization for Migration, offers valuable insights into refugee needs, challenges, and integration trends. Findings aim to guide strategic planning and resource allocation to address service gaps and enhance refugee support in Lithuania.
The Socio-Economic Insights Survey (SEIS) conducted in May and June 2024 in Poland provides essential data to inform the 2025 Refugee Response Plan. This survey captures critical information on the socio-economic conditions of refugees, including demographics, protection, education, livelihoods, health, and accommodation. The findings are pivotal for shaping strategies and funding decisions that address the needs of refugee populations. Data were collected from a representative sample of refugee households and individuals across 16 regions of Poland, helping to identify key challenges and opportunities for enhancing refugee integration and well-being.
The 2024 Socio-Economic Insights Survey (SEIS) in Slovakia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of an annual interagency regional process led by UNHCR, this assessment supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. Covering topics such as protection, health, education, shelter, livelihoods, and food security, the survey offers critical data to inform evidence-based planning and prioritization, ensuring the specific needs of different refugee groups are addressed. Data collection was conducted through face-to-face interviews from May to July 2024 with a probability-based random sample of refugee households, managed collaboratively by UNHCR and the International Organization for Migration. Findings will guide strategic interventions and resource allocation to enhance the welfare and resilience of the refugee population in Slovakia.
In 2021, 44.5 percent of organizations worldwide revealed that they perceive customer experience (CX) as a primary competitive differentiator. During the survey, 45 percent of organizations stated that they thought artificial intelligence solutions will reshape their customer experience (CX) in the next five years.
What is the Sentiment Analytics Software Market Size?
The sentiment analytics software market size is forecast to increase by USD 2.34 billion, at a CAGR of 16.6% between 2024 and 2029. The market is experiencing significant growth due to the increasing use of social media and the rising internet penetration in North America. Businesses are leveraging sentiment analysis to gain insights into customer opinions and feedback. A key trend in the market is the integration of generative AI to improve the accuracy and context-dependence of sentiment analysis. However, challenges such as context-dependent errors and the need for large amounts of data to train AI models persist. To stay competitive, market participants must focus on addressing these challenges and continuously improving the accuracy and reliability of their sentiment analysis solutions. This market analysis report provides an in-depth examination of the growth drivers, trends, and challenges shaping the sentiment analytics software market.
What will be the size of Market during the forecast period?
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Market Segmentation
The market report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
Deployment
On-premises
Cloud-based
End-user
Retail
BFSI
Healthcare
Others
Geography
North America
US
Europe
Germany
UK
APAC
China
India
South America
Middle East and Africa
Which is the largest segment driving market growth?
The on-premises segment is estimated to witness significant growth during the forecast period. In the realm of data analysis, sentiment analytics software plays a pivotal role in understanding public perception toward brands, services, and entities. For organizations in the healthcare sector, reputation management is of utmost importance. Sentiment analytics software deployed on-premises offers several benefits. With on-premises deployment, organizations retain complete control over their data, ensuring privacy and compliance with healthcare regulations. This setup allows for customization to meet specific business needs and seamless integration with existing systems.
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The on-premises segment was valued at USD 788.40 million in 2019. Furthermore, the use of dedicated infrastructure results in superior performance and faster processing times. Government institutions, media, telecom, and other industries also reap the benefits of on-premises sentiment analytics software. Data from surveys, social media, and other sources undergoes text analysis to uncover valuable insights. By staying informed of public sentiment, organizations can make data-driven decisions, respond to crises, and improve their offerings. Sentiment analysis is not limited to text data from surveys and social media. Media mentions and customer interactions through phone and email are also valuable sources of data. By harnessing the power of on-premises sentiment analytics software, organizations can gain a competitive edge and maintain a strong reputation.
Which region is leading the market?
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North America is estimated to contribute 38% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. In North America, sentiment analytics software has gained significant traction due to the region's high internet penetration and prioritization of enhancing customer experiences. By 2024, internet usage in North America reached nearly 97%, creating a solid base for the implementation of sentiment analysis tools. Companies in the US and Canada are investing heavily in advanced technologies to personalize customer interactions and improve overall satisfaction.
Further, Natural Language Processing (NLP) plays a crucial role in sentiment analysis, enabling businesses to understand and respond effectively to customer opinions. By staying attuned to customer sentiments, North American businesses can foster brand reputation, enhance customer satisfaction, and make data-driven decisions.
How do company ranking index and market positioning come to your aid?
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
Alphabet Inc.: The company offers sentiment analytics software that supports multiple languages and can be integrated into various applications for real-time analysis.
A survey of HMRC's customers experience. Updated: quarterly.