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eBooks
With the growth in email, chat records, call center notes, patient records, and social content, wouldn't it be amazing if businesses could ask customers directly, easily, and quickly how to define messaging, improve product, and even extract signals to mitigate risk and threats.
Companies receive huge volumes of textual data each day from customer records, call center notes, emails and social media conversations. With the best-in-class natural language processing (NLP) technology, enterprises can quickly make sense of all their data (structured paired with unstructured) to...
Webinars
What if your brand discovered hidden social insights that can transform the business at many levels? In a global marketplace, search precision around relevant conversations is imperative to a business' success. With social content, it's easy to set up search for the obvious terms around your brand...
Experts estimate that insurance fraud reaches as high as $5 billion each year. To stay ahead of the game, Insurance companies must be positioned to detect early warnings of fraud to curb financial losses.Attensity’s James Purchase, VP of Product Management and Kevin Mulcahy, Head of Business...
Part of the equation for making Social CRM effective comes from properly capturing the natural language knowledge delivered through the many social channels available to users. But even that is but a first step to being able to gain ever-deeper analysis, and rapidly and securely making those...
Case Studies
Learn how this Insurance company identifies high risk claims earlier to significantly lower liability using Attensity's Analytics solution...
Social listening plays a vital role in business and brand development for one of the U.S.’s leading grocery chains. Recently, the company acknowledged the benefit of harnessing the power of social intelligence courtesy of listening platforms for capturing brand-related social data, analyzing these...
Many of the available “solutions” on the market limit the usable data to predefined keyword-only searches that cannot target tailored, timely, or relevant market insights. Looking to cut costs and increase efficiency, this telecommunications company required a Natural Language Processing (NLP)...
Voice of the Client (VoC) data is imperative to this insurance leader in an increasingly competitive marketplace. Insurance companies in general, while once seen as a “necessary evil,” have changed their business models in response to consumers becoming more fastidious in their demands of their...
The investment firm’s clients are served by exceptionally dedicated people. Satisfying customer needs is a main focus for their survey analytics strategy.
The organization's main challenges included building and maintaining the brand value that has been built up over decades in product performance and quality. A brand can lose or gain equity very quickly. 
Striving to continually be the best in value, service and style, New York- based JetBlue Airways believes customer feedback is the answer to setting the company apart from the competition. For JetBlue, listening to every single customer voice is not only critical, it’s also the only way to provide...
White Papers
Attensity’s natural language processing (NLP) and real-time discovery are the keys to unlocking value from textual data. Our approach can surface insights for faster, more versatile, and highly effective enterprise-level decisions. Additionally, Attensity's accuracy comes from sophisticated...
Learn the limitations of common text analytics approaches such as accuracy, predefined keyword-based categories, no foresight, and limited scalability. Considerations for a text analytics solution should include adaptive language and exhaustive extraction techniques that lends itself to deep...
Not all analytical solutions are created equal. Enterprises attempting to analyze and respond to millions of online and offline conversations are finding systems inadequate. They lack accuracy and scalability to analyze the volumes of information. Learn how NLP is used to look at both structured...
Today, the social media monitoring marketplace is saturated with tools of varied levels of sophistication in sentiment analysis. Unfortunately, the value of sentiment analysis has been called into question due to the lack of accuracy in keyword-based approaches, which provide less than 50...
Datasheets
Attensity’s Semantic Annotation is a sophisticated, on-premise natural language processing (NLP) engine, providing unprecedented accuracy and customizable solutions that deliver value to an enterprise more quickly by identifying and extracting key events, entities, relationships, and other relevant...
Attensity’s industry leading natural language processing (NLP) and deep language analysis offers real-time access to over 150 million blogs and forums, websites, Facebook content and Twitter.
Attensity Analyze is the most comprehensive and accurate real-time solution for understanding multi-channel customer conversations. This patented analytics platform transforms text in social media, emails, surveys, CRM, notes and other sources into action- able insights. Attensity Analyze delivers...
The Attensity Insurance Solution helps insurance providers rapidly analyze the mountains of unstructured data generated in claim forms and adjuster notes, as well as customer feedback from social media, survey responses, emails and call center notes. It extends Attensity’s award-winning Analyze...
Today’s telecom and wireless service customers are some of the most vocal and passionate voices in social media. From sharing reviews of the latest new product and service introductions to asking for help and support, these customers increasingly turning to social media as a viable and even...
Different types of individuals working in social media and technology rely on Attensity Analyze for Facebook Analytics to meet their business objectives. Whether it is about understanding customer sentiment, surfacing top customer service issues, evaluating themes and recommendations or surveying...
Testimonials
"Attensity Respond also provided effective support in the actual response process. Our employees receive automatically generated response options, which can be adapted as necessary to each specific case. This saves time, improves response quality and makes the process more consistent"
Anke Hoffman, Globus
“Our customers write a book about us every day.  The Attensity Solutions enable us to read it.” “Attensity’s products have provided immense value to our business. We’ve been able to proactively address customer feedback and work toward high levels of customer service and product success.”
Michael Page, Development and Testing Manager, Quality Analytics, Whirlpool Corporation
“We now have unparalleled abilities to drill down into the “WHY” behind the ratings in our customer surveys”  “We are capable of reacting precisely to the issues at hand, whether they pertain to a specific hotel room or hotel, and, thereby, save time and money in reacting in a pinpointed manner and avoiding the implementation of generalized measures.”
Stephen Welham, Head of Marketing at Travelodge
“What I like about Attensity is the real-time factor and finding issues with context. Our industry is moving very fast and price wars, data issues, and chat- ter about competitors is changing on a weekly basis. AttensityAnalyze allows us to track these market dynamics, as well as, find the non-branded channels that carry relevant customer conversations. AttensityAnalyze has helped the Market- ing Organization reduce customer churn by 25%.”
Market Research Analyst, Marketing, Customer Retention Group
"We are delighted to have Attensity as a FiReStarter Company this year. We live in a 'people world,' and Attensity is providing the necessary tools to help service providers gain a deeper understanding of human needs."
Mark Anderson, FiRe Chair and SNS CEO.
“You have to be totally connected with everyone who touches your brand and that is why we are working with Attensity to build our Market Voice Program.”
Sr. Analyst, Quality Organization
Infographics
With millions of social posts occurring every day, it is imperative that your social analytics tools ask the right questions. How has online conversations contributed to the demand for data driven insights around unstructured text for organizations? 

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