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Tag Archives | CEM

Loyalty Driver Matrix

Understanding Customer Survey Data: Descriptive, Predictive and Prescriptive Analytics to Improve Customer Loyalty

Customer relationship surveys play a major role in helping improve the customer experience and increase customer loyalty. By gathering customer perceptions of their experience as well as their likelihood of engaging in different types of customer loyalty behaviors, companies are able to use these data to get insight about how to improve the quality of the […]

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In the Absence of Data, Everyone is Right

I wrote a post last week that compared two ways to make decisions/predictions: 1) opinion-driven and 2) data-driven. I am a big believer of using data to help make decisions/predictions. Many pundits/analysts made predictions about who would win the US presidential elections. Now that the elections are over, we can compare the success rate for […]

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The Big Data Problem in Customer Experience Management: Understanding Sampling Error

Big Data is being touted as the next big thing for businesses. The benefits of Big Data are apparent in many areas, from search results and recommendation engines to customer experience management. By analyzing massive amounts of quickly expanding, diverse data, businesses are able to gain the insights they need to beat their competitors. A […]

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Is the Importance of Customer Experience Overinflated?

Companies rely on customer experience management (CEM) programs to provide insight about how to manage customer relationships effectively to grow their business. CEM programs require measurement of primarily two types of variables, satisfaction with customer experience and customer loyalty. These metrics are used specifically to assess the importance of customer experience in improving customer loyalty. Determining […]

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