As social data streamed into systems, the voice of the customer became distinct and immediate. But as sentiment became the table stakes of today’s intelligence, marketers started to look for more out of their social engagement and listening programs. This shift has brought about a call to identify points of opportunity in social data that drive the business forward. This new mandate reveals new challenges: social media data can be messy, filled with lots of noise and few signals that point to definitive action. The mass of unstructured data that floods into systems is often incomplete and constantly in flux. One minute, a customer is “liking” a brand, and the next minute, that customer is telling the world about negative experiences and defection intentions. Wires get crossed. Sentiments can shift without warning. And slowly but surely, a marketer’s trust in social data can begin to erode. The conversation around social needs to evolve—breaking away from the endless opportunities to chat, mix and mingle with the customer and turning toward an intentional strategy of leveraging social data to reveal business-driving opportunity. These signals must point to where a business can make money or where a business may be missing the mark…or it must deliver real-time alerts to problems that can lead to customer defection and discord.

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