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Singapore, Singapore
1-10 Employees
2018
At FreeText AI, we believe in the importance of customer feedback for the success of any business. That's why we developed our platform - to help you quickly and effectively analyze unstructured textual customer feedback from various sourcesOur team, made up of former Googlers, is dedicated to bringing the latest in Natural Language Processing (NLP) and Machine Learning technology to everyone. FreeText AI is a cutting-edge platform that utilizes advanced text analysis techniques to extract valuable insights from unstructured feedback data, such as user reviews, chats, surveys, and support tickets. We are eager to talk, understand your requirements and add value to your business.
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FreeText AI - Customer Feedback Analysis powered by AI
... Customer Feedback Analytics ...
Houston, United States
1-10 Employees
2021
Having AI-powered text analytics, Feedgage strengthens brands companies to increase their customer experience and supports them to get the best out of every customer interaction. Feedgage helps you get the key insights from the online reviews and build a powerful brand for your business. Feedgage collects, presents and analyzes all the voice of the customer in one place to help you scale your customer experience. Feedgage can easily gather all your feedback, online reviews and customer surveys in one platform and enable you to identify and analyze customer expectations, needs and approaches. Feedgage helps you get the best of customer experience by integrating with the platforms you daily use. Please select from the following options that best describes your aim to use Feedgage so we can help you accordingly. Your brand is all over the web and Feedgage helps you gather & analyze all customer reviews and feedback in one place to turn your brand into a customer favorite. Just a quick overview of how Feedgage can affect your business.
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Feedgage – Customer Feedback Analytics Software
... Feedgage – Customer Feedback Analytics ...
Luxembourg, Luxembourg
101-250 Employees
2009
Over a decade in the making, we are thrilled to give you Blue Silk™ GPT,the greatest innovation in natural language processing purpose-built for consumer intelligence... Empowering you to direct strategic initiatives confidently to achieve your most important priorities. Blue Silk™ GPT, the secret sauce behind the magic of Talkwalker, helps you cut through to the signal hidden in all the noiseGet to the true insight hidden in millions of consumer conversations and 1000s of pieces of customer feedback in seconds. Enable seamless collaboration by providing all departments with access to crucial insights and a single source of truthEmpower decision-making with consistent KPIs and solutions tailored to industry and role, allowing for data-driven strategies and growth. © Copyright Talkwalker 2023 - All rights reserved.
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Talkwalker Customer Feedback Analytics
... Customer feedback analytics help analyze your customer feedback across digital channels, for actionable insights to improve customer satisfaction, retention & loyalty. ...
Helsinki, Finland
11-50 Employees
2016
Lumoa is the first CX platform to offer Generative AI. See what customers say at different stages of their journey, compare different products or shops or service lines.
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Grow with Customer Feedback Analytics
... With customer feedback analytics you understand why your KPIs go up or down. See what matters and take actions that impact your CX. ...
San Francisco, United States
11-50 Employees
2016
We are on a mission to decipher language, which is the most complex type of data that ever existed. Dashbot automates the manual combing through data + extracting insights, so you can focus on taking data-driven actions to impact your organization. We are a trusted partner in extracting insights from thousands of data sources for our customers. Dashbot supports any conversational channel, including live-agent conversations and raw conversational data. The company's first product was a chatbot analytics tool to help businesses & developers monitor important analytics on their chatbot initiatives. Whatever your role, be a leader in it. Get the latest articles on all things data and conversational AI delivered straight to your inbox. No matter your use case, your team, or your industry, Dashbot can help you accelerate your initiatives and drive operational efficiencies through data.
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Next Generation Survey & Customer Feedback Analytics
... Next Generation Survey & Customer Feedback Analytics ...
1-10 Employees
2020
We provide dedicated customer support to assist you with any questions or issues you may have. Yes, we provide different API's to integrate core services to our deep learning models and run them on demand. Yes, we offer enterprise and custom plans tailored to meet specific business requirements.
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Data & Analytics for Customer & Employee Experience
... Customer Feedback Analytics, Employee Engagement Analytics. ...
Tel Aviv-Yafo, Israel
1-10 Employees
2021
At the forefront of AI-driven innovation, Tagado is changing the way that companies stay on top of customer feedback in today’s rapidly evolving technological landscape. As a constantly evolving industry, companies must grasp the latest AI and NLP tools to maintain their competitive edge. Our technology is designed to give companies a comprehensive understanding of their customer feedback, providing valuable insights and empowering organizations to make informed decisions. Moving forward, text analytics will become an essential part of any company’s BI DNA, giving them the chance to be ahead of the game and continue to lead in their industry. Join the revolution and embrace the power of AI-driven insights with us.
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Tagado - Advanced AI customer feedback analytics platform
... Tagado Turn customer feedback into business intelligence Advanced AI customer feedback analytics ...
San Francisco, United States
1-10 Employees
2020
Enterpret enables companies to analyze their customer feedback at scale. We are solving complex problems in NLP, ml-ops, analytics, and data visualization. Core Values are critical behavioral values that we hold everyone accountable for at Enterpret. We play for the team and do what is needed to Make Enterpret win. Operating Principles guide how we operate at Enterpret.
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Customer Feedback Analytics for Product Teams | Enterpret
... Customer Feedback Analytics for Product Teams | ...
Mumbai, India
51-100 Employees
2004
At Allerin, we understand that running a business comes with its own set of challenges. We provide innovative and agile software solutions that help you automate, inspire, and impress. We are committed to delivering the most efficient services in the business, and our focus on providing solutions that cater to your current requirements and scale seamlessly for future needs drives us. As a research and development-driven company, we always strive to stay ahead of the curve. Our expertise in emerging technologies such as AI, Data Science, Blockchain, and IoT, combined with our commitment to building solutions that increase productivity, makes us the perfect partner for your business. What sets us apart from our competitors is our ability to deliver customized and scalable solutions tailored to your unique business needs.
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Big Data Analysis and Intelligence | Customer Feedback Analytics |
... Big Data Analysis and Intelligence | Customer Feedback Analytics | ...
Montreal, Canada
11-50 Employees
2013
Adopt a data-driven, customer centric approach by capturing and analyzing all of your customer, employee and marketplace feedback data in less time and with unmatched precision. Try our ALL-INCLUSIVE turnkey solution for 2 months for 2,900 CA$. Flexible pricing means that we make sure to provide a solution that fits your analytical objectives, budget and volume of feedback data. We can provide hands-on trainingto ensure that you have in-house experts in no time. We can help determine thebest axis of analysis based onyour business needs.
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An AI-Powered Text Analytics Platform for Customer Feedback Analysis
... Text Analytics ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Customer Feedback Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 14 |
| Amount of suitable service providers | 6 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2004 |
| Youngest suiting company | 2021 |
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Customer Feedback Analytics refers to the systematic approach of collecting, analyzing, and interpreting various forms of feedback from customers to gain insights into their satisfaction, preferences, and expectations. This process employs a range of analytical tools and methodologies, including natural language processing, sentiment analysis, and machine learning algorithms, to scrutinize data collected through surveys, social media, review platforms, and direct customer interactions. By transforming raw feedback into actionable insights, businesses can identify patterns and trends in customer behavior, pinpoint areas for improvement, and tailor their products, services, and customer experiences more effectively. The role of Customer Feedback Analytics is pivotal in today's highly competitive markets, where understanding and responding to customer needs is essential for fostering loyalty, driving innovation, and maintaining a competitive edge. It enables organizations to make data-driven decisions that align closely with customer expectations, thereby enhancing overall satisfaction and loyalty. Furthermore, by proactively addressing customer concerns and adapting to their evolving needs, businesses can improve their operational efficiency, reduce churn rates, and ultimately, boost their bottom line. In essence, Customer Feedback Analytics serves as a critical tool for organizations aiming to thrive by placing the customer at the heart of their strategic decisions.
1. Enhanced Customer Understanding
By analyzing customer feedback, businesses gain deep insights into customer needs, preferences, and pain points. This understanding enables companies to tailor their products and services more effectively to meet customer demands, fostering greater satisfaction and loyalty.
2. Improved Product Development
Customer feedback analytics provide actionable data that can guide the development of new products or the improvement of existing ones. Identifying trends and recurring issues in feedback allows businesses to prioritize development efforts, ensuring resources are invested in areas that will deliver the most value to customers.
3. Competitive Advantage
Leveraging customer feedback analytics grants businesses a competitive edge by responding swiftly to market demands. This agility in adapting to customer needs not only elevates the customer experience but also positions companies as leaders in customer-centric innovation.
4. Better Decision Making
With the wealth of qualitative and quantitative data derived from customer feedback, organizations can make more informed decisions. Whether it's refining marketing strategies or enhancing customer service protocols, analytics ensure that decisions are grounded in actual customer experiences and expectations.
While evaluating the different suppliers make sure to check the following criteria:
1. Integration Capabilities
Ensure the supplier offers seamless integration with your existing CRM and data analytics systems to facilitate easy data transfer and analysis.
2. Real-Time Analytics
Choose a supplier that provides real-time feedback analysis, enabling you to act swiftly on customer insights and improve service quality.
3. Customization Options
Select a platform that allows customization of feedback forms and analytics dashboards to suit your specific business needs.
4. Data Privacy and Security
Verify the supplier’s compliance with data protection regulations and their ability to secure your customers' feedback data against unauthorized access.
5. Scalability
Opt for a solution that can scale with your business, accommodating increased volumes of feedback as your customer base grows.
6. Support and Training
Ensure the supplier offers comprehensive support and training resources to help your team maximize the use of the feedback analytics tool.
Customer feedback analytics plays a pivotal role in product development and enhancement. By aggregating and analyzing customer feedback, businesses can identify common pain points and feature requests, allowing them to prioritize product updates that directly address their clients' needs. This process ensures that product development efforts are aligned with customer expectations, fostering improved satisfaction and loyalty. In marketing strategy optimization, customer feedback analytics enables companies to understand how their products or services are perceived in the market. Insights gained from customer feedback help in refining marketing messages, targeting strategies, and overall communication plans. This targeted approach ensures that marketing efforts resonate more effectively with the intended audience, increasing engagement and conversion rates. Sales performance and customer service improvement is another critical use case. Analyzing customer feedback provides sales teams with valuable insights into customer needs and preferences, enabling them to tailor their sales pitches and improve conversion rates. Similarly, customer service teams can use feedback analytics to identify areas for improvement, streamline support processes, and enhance overall customer satisfaction. Finally, customer feedback analytics is instrumental in competitive analysis. By understanding how customers view your products or services in comparison to competitors, businesses can pinpoint their unique value propositions and identify areas requiring improvement. This strategic insight helps companies to stay competitive in rapidly evolving markets.
Customer Feedback Analytics currently stands at a high Technology Readiness Level (TRL) of around 8 to 9, indicating that this technology has been fully developed, tested, and validated in real-world environments. This high TRL is attributed to several technical advancements and the widespread adoption of sophisticated analytical tools across various industries. The core technology behind Customer Feedback Analytics involves natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to efficiently process, analyze, and interpret vast amounts of unstructured feedback data from multiple sources. These technologies have matured significantly over the years, with algorithms now capable of understanding context, sentiment, and even the nuanced emotions behind customer feedback. The integration of big data technologies has further enhanced the capability to handle and analyze data at scale, providing businesses with actionable insights almost in real-time. Moreover, advancements in cloud computing have made these analytics tools more accessible and scalable, allowing companies of all sizes to leverage customer feedback analytics without the need for significant upfront investment in IT infrastructure. This technical maturity and the demonstrable value it brings to businesses in terms of improved customer experience and strategic decision-making underscore its high TRL position.
In the Short-Term, advancements in Customer Feedback Analytics are expected to focus on the integration of real-time feedback mechanisms. This development will enable businesses to respond quickly to customer needs and preferences, leveraging AI-driven tools for immediate analysis. Enhanced natural language processing capabilities will improve sentiment analysis, allowing for more nuanced understanding of customer emotions and intentions. Looking at the Mid-Term, we anticipate the emergence of predictive analytics in the realm of customer feedback. These systems will not only analyze past and present customer data but will also predict future customer behavior and preferences with high accuracy. Integration with IoT devices will provide unprecedented access to real-time customer data, enabling businesses to anticipate needs before they are explicitly expressed. In the Long-Term, the focus will likely shift towards the personalization of customer experiences at an individual level, facilitated by advancements in machine learning and data analysis technologies. Customer feedback analytics will evolve to offer highly customized insights, allowing businesses to create deeply personalized marketing strategies and products. This phase will also see the incorporation of augmented reality and virtual reality technologies, providing immersive ways to collect and analyze feedback.
Some interesting questions that has been asked about the results you have just received for Customer Feedback Analytics
What are related technologies to Customer Feedback Analytics?
Based on our calculations related technologies to Customer Feedback Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Customer Feedback Analytics?
Which industries are mostly working on Customer Feedback Analytics?
The most represented industries which are working in Customer Feedback Analytics are Software, Artificial Intelligence, Information Technology, Data and Analytics, Professional Services
How does ensun find these Customer Feedback Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
