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jason-brownlee
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• Lots of brands stimulate huge volumes of market feedback everyday from social networks, customer response systems and market research activity
• The bulk of this material arrives in the form of natural language messages and text
• It’s now relatively easy to collect enough ‘customer voice’ chatter to fill a stack of telephone directories very quickly
• But it’s impossible for busy executives to read through all this data
• And that’s a shame because this information can be incredibly spontaneous, sincere and colourful
• Natural language feedback from the social web has the potential to revolutionise a brand's understanding of its customers
• But only if we can read through the proverbial telephone directory quickly, accurately and with sensitivity
• Sadly, most social buzz monitoring products don’t help with this problem
• They focus on quant-based metrics that give an exhaustive numerical breakdown of a brand’s social buzz
• What they fail to give us is a deeply intuitive and colourful picture of what people are actually thinking and feeling
• Colourtext is different
• It’s a world-leading Natural Language Processing (NLP) engine married to a powerful data discovery platform.
• It rapidly, efficiently and accurately analyses vast quantities of 'customer voice' feedback
• Colourtext identifies and quantifies the full spectrum of feelings, perceptions and thoughts that people expressed naturally by social media users
• Colourtext to go far beyond what is offered by standard buzz monitoring products that offer basic tools like ‘sentiment analysis’
• Buzz monitoring is no longer enough
• Colourtext generates the rich customer insights one normally associates with Qualitative research
• It moves your business forward from ‘social listening’ to ‘social insight’ by capturing what social communities are discussing, thinking and feeling