Newly released Consumer Video Feedback Software Market analysis report by Future Market Insights shows that global sales of the Consumer Video Feedback Software Market in 2023 are anticipated to be valued at US$ 1,697.9 million.
With 7.7%, the projected market value from 2023 to 2033 is expected to reach US$ 3.576.1 million. Cloud-deployed consumer video feedback is expected to be the highest revenue-generating category, projected to register a CAGR of 7.7% from 2023 to 2033.
Attributes | Details |
---|---|
Global Consumer Video Feedback Software Market Size (2023) | US$ 1697.9 million |
Global Consumer Video Feedback Software Market Size (2033) | US$ 3576.1 million |
Global Consumer Video Feedback Software Market CAGR (2023 to 2033) | 7.7% |
United States Consumer Video Feedback Software Market Size (2032) | US$ 1.2 billion |
United States Consumer Video Feedback Software Market CAGR (2023 to 2032) | 7.3% |
Key Companies Covered |
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As per the Consumer Video Feedback Software Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2018 to 2022, the market value of the Consumer Video Feedback Software Market increased at around 5.6% CAGR.
Enterprises can use consumer video feedback software to capture, analyze, and distribute video comments from customers. This program assists organizations in conducting research or soliciting feedback from their customers in an effective manner, allowing them to gain rich insights from all types of video feedback that text-based feedback cannot do.
Researchers, advertisers, marketing teams, and product managers can use this software to collect qualitative, actionable data to make informed business decisions about marketing campaigns, product design, brand strategy, customer experience, and in-store innovation.
With businesses increasingly recognizing the impact that video can have on customer and employee experience programs, consumer video feedback software adoption is on the rise.
Consumer video feedback software provides quick access to the resources needed to capture and record a customer's ideas, views, and feelings, allowing businesses to better understand their consumers' needs.
Furthermore, organizations can use artificial intelligence technologies like machine learning to produce data sets that motivate action and drive effect more regularly. The video feedback allows businesses to hear their clients' true voices and make better business decisions more swiftly.
Factors such as the increasing popularity of complex operations, rising automation trends, high operational costs, and increased implementation of modern software solutions at large enterprises are among the primary reasons why the demand for consumer video feedback services in-field is expected to grow over the next few years.
In addition, the consumer video feedback software market is expected to grow in the coming years due to increased digital transformation to improve operations and process security in businesses.
In the coming years, the growing popularity of cloud-based solutions and services is expected to strengthen and provide opportunities for the consumer video feedback industry.
The consumer video feedback software industry is seeing potential from partnerships, collaborations, and new product introductions. However, throughout the projected years, consumer video feedback software adoption is expected to be hampered by a lack of knowledge and a scarcity of qualified people to handle advanced solutions at a low cost and high productivity.
Research activities and tools, such as consumer video feedback software, are highly valued by organizations from numerous verticals. To improve consumer experience and product offerings, many industries, including retail, telecom, hotel, FMCG, and media, are implementing advanced data collecting and analytics techniques.
ExterionMedia, a marketing agency, was recently awarded a £1 billion ad deal for the London Underground Rail Estate. ExterionMedia chose consumer video feedback solutions over traditional feedback tools or methodologies to collect primary data from commuters. Commuters were able to provide comments on their own terms as a result of the method.
ExterionMedia was able to readily grasp commuters' perspectives and deploy full-motion commercials that were compelled by employing consumer video feedback technologies. Furthermore, Asda Stores Ltd, one of Europe's largest retail chains, began collecting primary data from their survey of 18 million customers utilizing consumer feedback software.
Asda Stores Ltd. was able to identify customer issues and assess their emotions utilizing a consumer feedback software tool, which was not possible with traditional text-based data collection technologies.
In addition, a growing number of end-to-end technology providers and startups are investing in data collection and analytics solutions to improve their offerings. They use video comments from customers as a marketing tool to boost their company's reputation.
In addition, as a result of COVID-19, the adoption of consumer video feedback software increased across the European market. Various solutions, including consumer video feedback software, are being used by businesses to better understand customer behavior and improve their experience during the pandemic.
Meanwhile, the high internet penetration rate, together with government initiatives such as the European Digital Strategy, are among the factors driving consumer video feedback software demand in Europe.
During the forecast period, North America is expected to be the top revenue-generating region in the global consumer video feedback software market, with the United States leading the way, followed by Canada.
Consumer research initiatives have been substantially spent in these countries, which is leading to the adoption of consumer video feedback software. Furthermore, the region has been responsive in terms of incorporating the most recent technology breakthroughs, such as mobile and cloud integration technologies with consumer video feedback software solutions.
North America is also known for its high GPD per capita, positive attitude toward mass adoption of new technologies, and dynamic consumer behavior, as a result of which companies in various industries are strongly inclined to invest resources in gathering insightful data for product development in order to address changing consumer preferences.
Furthermore, due to favorable government policies that promote innovation and build infrastructure capacities, North America is one of the leading regions in terms of the creation and acceptance of new technology. As a result, any impediment to the growth of the industrial sector impedes the region's economic development.
According to the real estate firm CoStar Group, up to 12,000 stores in the United States would be temporarily closed in 2020. J.C. Penney and GameStop were two of the key retail chains that announced store closures in 2020.
In the hospitality industry, a similar trend was observed. Enterprises that planned to adopt consumer video feedback software in 2020 had to either postpone or abandon their plans, resulting in a positive influence on demand for the software.
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The United States is expected to account for the highest market of US$ 1.2 billion by the end of 2033. Customers' real-time input is collected via consumer video feedback software, which is mostly utilized as research and survey software.
Instead of text-based, quantitative feedback, this system concentrates solely on data collection and management, as well as video insights analysis. Customers can offer genuine, off-the-cuff answers to open-ended inquiries, allowing them to contextualize and emotionally interact with qualitative insights owing to the growing acceptance of advanced cloud-based video feedback.
Cloud segment is forecasted to thrive at the highest CAGR of over 8.3% from 2023 to 2033. In recent years, cloud-based consumer video feedback solutions have witnessed a considerable increase in popularity.
Companies can use cloud-based video feedback platforms to gain a qualitative and quantitative analysis of their customers' reactions, develop their products, and promote them more effectively. End users in these countries can utilize cloud-based video feedback solutions as the internet infrastructure has matured in high-income countries and is prospering in several developing countries.
The IT and Telecom segment is forecasted to gross the highest revenue which is projected to expand at a CAGR of over 6.8% from 2023 to 2033. The consumer video feedback software market is divided into FMCG, BFSI, electronics, IT & telecom, retail, hotel, and others based on the end-user. In 2020, the FMCG segment dominated the market.
Due to the increased rivalry, FMCG firms are investing heavily in research activities and tools, such as consumer video feedback software, to better understand consumer behavior and provide better customer service and product offerings. For example, Unilever used consumer video feedback software to research customer experience when buying on e-commerce platforms
Furthermore, since consumer preferences for FMCG items differ from area to region, and as the industry becomes more competitive, analytical tools such as consumer video feedback software are expected to gain popularity during the projection period.
The leading players in the global Consumer Video Feedback Software market include UserTesting, dscout Inc., FocusVision, Qualtrics, Medallia Inc., Voxpopme, Product Peel, Inc., Typeform, Phonic Inc., and Discuss.io. To gain a competitive advantage in the industry, these market players are investing in product launches, partnerships, mergers and acquisitions, and expansions.
Similarly, recent developments related to companies in Consumer Video Feedback Software have been tracked by the team at Future Market Insights, which are available in the full report.
The market is valued at US$ 1697.9 million in 2023.
UserTesting, dscout Inc., and FocusVision are the leading industry players.
The market is set to surge at a CAGR of 7.7% through 2033.
The cloud segment to remain preferred in the market until 2033.
Real-time sentiment analysis drives consumer video feedback software Industry trends.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033 5.3.1. Cloud 5.3.2. On Premise 5.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By End User Type, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User Type, 2023 to 2033 6.3.1. FMCG 6.3.2. BFSI 6.3.3. Electronics 6.3.4. IT and Telecom 6.3.5. Retail 6.3.6. Hospitality 6.3.7. Others 6.4. Y-o-Y Growth Trend Analysis By End User Type, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By End User Type, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-User 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By End-User , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-User , 2023 to 2033 7.3.1. BFSI 7.3.2. Retail 7.3.3. Government & Defense 7.3.4. Manufacturing 7.3.5. Infrastructure 7.3.6. Enterprise 7.3.7. Healthcare 7.3.8. Automotive & Transportation 7.3.9. Others 7.4. Y-o-Y Growth Trend Analysis By End-User , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By End-User , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Western Europe 8.3.4. Eastern Europe 8.3.5. South Asia and Pacific 8.3.6. East Asia 8.3.7. Middle East and Africa 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Deployment Type 9.2.3. By End User Type 9.2.4. By End-User 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Deployment Type 9.3.3. By End User Type 9.3.4. By End-User 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Deployment Type 10.2.3. By End User Type 10.2.4. By End-User 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Deployment Type 10.3.3. By End User Type 10.3.4. By End-User 10.4. Key Takeaways 11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. UK 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Western Europe 11.2.2. By Deployment Type 11.2.3. By End User Type 11.2.4. By End-User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Deployment Type 11.3.3. By End User Type 11.3.4. By End-User 11.4. Key Takeaways 12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Poland 12.2.1.2. Russia 12.2.1.3. Czech Republic 12.2.1.4. Romania 12.2.1.5. Rest of Eastern Europe 12.2.2. By Deployment Type 12.2.3. By End User Type 12.2.4. By End-User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Deployment Type 12.3.3. By End User Type 12.3.4. By End-User 12.4. Key Takeaways 13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Bangladesh 13.2.1.3. Australia 13.2.1.4. New Zealand 13.2.1.5. Rest of South Asia and Pacific 13.2.2. By Deployment Type 13.2.3. By End User Type 13.2.4. By End-User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Deployment Type 13.3.3. By End User Type 13.3.4. By End-User 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Deployment Type 14.2.3. By End User Type 14.2.4. By End-User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Deployment Type 14.3.3. By End User Type 14.3.4. By End-User 14.4. Key Takeaways 15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Deployment Type 15.2.3. By End User Type 15.2.4. By End-User 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Deployment Type 15.3.3. By End User Type 15.3.4. By End-User 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Deployment Type 16.1.2.2. By End User Type 16.1.2.3. By End-User 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Deployment Type 16.2.2.2. By End User Type 16.2.2.3. By End-User 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Deployment Type 16.3.2.2. By End User Type 16.3.2.3. By End-User 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Deployment Type 16.4.2.2. By End User Type 16.4.2.3. By End-User 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Deployment Type 16.5.2.2. By End User Type 16.5.2.3. By End-User 16.6. UK 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Deployment Type 16.6.2.2. By End User Type 16.6.2.3. By End-User 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Deployment Type 16.7.2.2. By End User Type 16.7.2.3. By End-User 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Deployment Type 16.8.2.2. By End User Type 16.8.2.3. By End-User 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Deployment Type 16.9.2.2. By End User Type 16.9.2.3. By End-User 16.10. Poland 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Deployment Type 16.10.2.2. By End User Type 16.10.2.3. By End-User 16.11. Russia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Deployment Type 16.11.2.2. By End User Type 16.11.2.3. By End-User 16.12. Czech Republic 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Deployment Type 16.12.2.2. By End User Type 16.12.2.3. By End-User 16.13. Romania 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Deployment Type 16.13.2.2. By End User Type 16.13.2.3. By End-User 16.14. India 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Deployment Type 16.14.2.2. By End User Type 16.14.2.3. By End-User 16.15. Bangladesh 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Deployment Type 16.15.2.2. By End User Type 16.15.2.3. By End-User 16.16. Australia 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Deployment Type 16.16.2.2. By End User Type 16.16.2.3. By End-User 16.17. New Zealand 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Deployment Type 16.17.2.2. By End User Type 16.17.2.3. By End-User 16.18. China 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Deployment Type 16.18.2.2. By End User Type 16.18.2.3. By End-User 16.19. Japan 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Deployment Type 16.19.2.2. By End User Type 16.19.2.3. By End-User 16.20. South Korea 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Deployment Type 16.20.2.2. By End User Type 16.20.2.3. By End-User 16.21. GCC Countries 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Deployment Type 16.21.2.2. By End User Type 16.21.2.3. By End-User 16.22. South Africa 16.22.1. Pricing Analysis 16.22.2. Market Share Analysis, 2022 16.22.2.1. By Deployment Type 16.22.2.2. By End User Type 16.22.2.3. By End-User 16.23. Israel 16.23.1. Pricing Analysis 16.23.2. Market Share Analysis, 2022 16.23.2.1. By Deployment Type 16.23.2.2. By End User Type 16.23.2.3. By End-User 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Deployment Type 17.3.3. By End User Type 17.3.4. By End-User 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. UserTesting 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. dscout Inc. 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. FocusVision 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. Qualtrics 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. Medallia Inc. 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. Voxpopme 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. Product Peel, Inc. 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. Typeform 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. Phonic Inc. 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. Discuss.io 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
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