InfoWatch is a privately-held company, delivering its enterprise customers software solutions to monitor and manage information flow (founded by Kaspersky Lab)
To manage corporate reputation, secure positive customer experience and business profitability, it's crucial to have in-depth and instant knowledge of what people say about the company, what the users want and complain on, how customers rate products and services of the company and its competitors.
Today the Internet has become the most prominent communication media where people easily and enthusiastically exchange their opinions online on products and services they use.
Independent user feedback is trusted much higher than any advertising in traditional media, so private opinions expressed online can boost demand for some products and ruin market prospects of others.
People are generally more willing to share negative experience than to tell ‘success stories’, so the more customers a company has, the more complicated online environment it has to cope with in order to win more customers or just hold market positions.
Social media – blogs, forums and social networks – are places concentrating this valuable customer feedback that businesses need to know and work with every day.
Social media monitoring delivers structured information directly from end customers and other company's stakeholders, which enables you to:
Search engines cannot guarantee the full coverage due to being too general, no matter whether manual or automatic information retrieval is used.
To provide a close to complete collection of information on a company / product / service (object of monitoring), some additional search technologies should be applied along with common search engines. Using a proprietary web crawler with specially composed set of key words allows gathering over 90% of relevant data from literally unlimited number of online platforms, such as blogs, forums, social networks, and digital mass media. There should also be an option to manually add specific sites as data sources so that nothing is missed.
Web search even with correct keywords brings vast amount of diverse links, a great deal of which are irrelevant to the object of monitoring, are duplicates or homonyms. Such entries must be filtered from the gathered information before analysis is started.
Average "life span" of a blog post or online news generally equals to 6-8 hours. To provide a complete view and enable real-time reaction when needed, a social media monitoring solution should detect relevant data as soon as they appear (not later than in several hours) and generate reports at any required time.
The collected information should be processed, structured and analyzed. Comprehensive linguistic technologies are to be applied to provide automatic categorization and sentiment scoring (positive, negative, neutral) of each mentioning with high fidelity (over 80%).
There is no universal language, and same words may have different meanings and express different emotions in various contexts. So to ensure the high accuracy of automatic sentiment analysis it's necessary to consider the current context, mainly conditioned by industry specifics. A 'linguistic model' should be created for each industry under monitoring.
Especially important for monitoring products / services of geographically distributed companies.
The results of customer intelligence should be available in easy-to-use visual forms. The system users should be able to build standard and ad hoc reports with any required filters at any needed time. Interactive graphs can make it easy to dig into details or have a general view.
InfoWatch KRIBRUM is a cloud-based social media monitoring solution that successfully meets all the requirements considered above. The system automatically gathers and analyzes unlimited data volumes on a company / product / service throughout the Internet, enabling businesses to improve customer care, leverage customer feedback for increasing marketing efforts efficiency, and manage corporate reputation online.