When: Thursday January 20, 11:00 am PT
Cost: Complimentary with Registration
Who: Attensity’s Director of Advanced Analytics, Manya Mayes
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Why describe only past history when you can use multi-channel Voice of Customer (VOC) feedback to predict what will happen next?
Will that customer who’s complaining about your phone service on a forum actually churn or are they just blowing off steam? Will that new product you’re releasing next month be a hit? What’s the right offer for your high net-worth clients, and when is the best time to pitch it?
Customers are willing to tell you a LOT about your products and services. Typical Voice of the customer (VOC) analytics tell you what your customers have done previously. VOC customer analyses can provide you with the means to incorporate valuable text analytics findings into models to successfully arm your company with predictions about churn, loyalty, satisfaction and more. Join Attensity’s Director of Advanced Analytics, Manya Mayes, to learn how you can harness the power of text analytics to not only understand the voice of your customer — but to predict what your customer is going to do next. You’ll also learn more about:
More Read
- VOC “must haves”- including text analytics, sentiment analysis, voice tags, the ability to address slanguage, predictive analytics/data mining
- Top VOC challenges and pitfalls
- Top VOC use cases and best practice success stories
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