Instant Customer Feedback

Benefits of Sentiment Analysis

 

The Sentiment Engine provides high quality customer insight, faster and cheaper than doing it yourself

  As 80% of all data in a business consists of words, the Sentiment Engine is an essential tool for making sense of it all
More accurate and insightful customer perceptions and feedback

  The ability to act on customer suggestions
A lower cost than traditional methods of getting customer insight   Accurately score a whole comment taking into account positive, passive and negative sentiment throughout all phrases

A faster way of getting insight from customer data

  Identifies an organisation's Strengths, Weaknesses, Opportunities & Threats (SWOT Analysis)
Apply multi-categories to comments where more than one subject is being talked about. We can also score each category allowing for an overview into specific areas of your business      

 

The justifications for Text Analysis are clear when put into the correct context. A customer's opinion of an organisation will ultimately drive their decision to do business with them. Understanding the reason a customer forms their opinion and the responsible experience leading to it is key to guiding an organisation's future direction and development. Especially as it can cost between three and ten times more to attract a new customer than to retain an existing customer.

Our Sentiment Engine allows customer feedback analysis and engagement in levels of customer insight/research previously not viable. It analyses vast amounts of qualitative data quicker, cheaper and easier than traditional methods - overcoming the problem where the information provided data that was too little and too late to be of real value.

The ability to process 'open ended' feedback and discover meaningful relationships in text quickly and accurately means that, for the first time, organisations can begin to look at emerging risks and expectations objectively. These are genuine risks and expectations offered back to an organisation, better still, they are provided by the customer in the customers' own words.

Rant and Rave's Sentiment Engine can analyse all incoming information whether it's email, voice or text message. This includes the ability to analyse what is being said about an organisation across the thousands of internet web sites, blogs, forums and associations. According to an article on Business Analytics News.com there has been an explosion in Voc (Voice of Customer) across social media networks and other web based sources. These forums of customer opinion and review are provided almost completely in qualitative text format. Rant and Rave is capable of sweeping up that valuable information and passing it through the Sentiment Engine which can quickly and effectively turn it into meaningful data. Once the qualitative data has been analysed for trends andrelationships it is then provided back to you in a dynamic, user friendly dashboard.

Get in touch with us now to discuss how Sentiment Analysis can enhance your organisation. If linguistic analysis and identifying your organisation's strengths, weaknesses, opportunities and threats (SWOT) is important to you then call us on 02476 011 910 or visit the official Rant and Rave website by clicking on the logo below



3 reasons why you can't afford to ignore text analysis and customer feedback:

  • 92 percent of all customer interactions happen via the phone and 85 percent of consumers are dissatisfied with their phone experience. (Gartner)


  • A typical business only hears from four percent of its dissatisfied customers; the other 96 percent leave quietly. Of that 96 percent, 68 percent never reveal their dissatisfaction because they perceive an attitude of indifference in the owner, manager or employee. (University of Pennsylvania)


  • A five percent reduction in the customer defection rate can increase profits by 25 to 80 percent and 7 out of 10 customers who switch to a competitor do so because of poor service. (McKinsey)

 


Click here to visit the official Rant and Rave website


 

 

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