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Archive | Customer Experience Management

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Unmasking the Problem with Net Scores and the NPS Claims

I wrote about net scores last week and presented evidence that showed net scores are ambiguous and unnecessary.  Net scores are created by taking the difference between the percent of “positive” scores and the percent of “negative” scores. Net scores were made popular by Fred Reichheld and Satmetrix in their work on customer loyalty measurement. Their […]

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Figure 2. Scatterplot of

The Best Likelihood to Recommend Metric: Mean Score or Net Promoter Score?

A successful customer experience management (CEM) program requires the collection, synthesis, analysis and dissemination of customer metrics.  Customer metrics are numerical scores or indices that summarize customer feedback results for a given customer group or segment. Customer metrics are typically calculated using customer ratings of survey questions. I recently wrote about how you can evaluate the quality of your customer metrics and listed four questions […]

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Figure 4. Relationship between number of SR ownership changes and customer satisfaction with SR

How Oracle Uses Big Data to Improve the Customer Experience

Customer experience management (CEM) programs are no stranger to the use of data. CEM professionals use data to gain insight about their customers to help improve the customer experience and optimize customer loyalty. Not surprisingly, CEM programs typically rely on customer feedback as their main data source (e.g., social media, customer emails, tech support notes, […]

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Three Upcoming Talks on Big Data and Customer Experience Management

I have recently written on Big Data’s role in Customer Experience Management (CEM) and how companies can extract great insight from their business data when different types of business data are integrated with customer feedback data. I have been invited to share my thoughts on Big Data and Customer Experience Management at three upcoming conferences in […]

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Big Data has Big Implications for Customer Experience Management

Unless you have been living under a rock, you know that Big Data is the latest buzz word in the world of business. The concept of Big Data is broad one and I consider it an amalgamation of different areas that help us try to get a handle on, insight from and use out of […]

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Figure 2. Employee Loyalty Driver Chart

Using Driver Analysis to Improve Employee Loyalty

Researchers have shown a consistent relationship between employee attitudes and customer attitudes. Specifically, they have found that satisfied/loyal employees, compared to dissatisfied/disloyal employees, have more satisfied customers. Examining different bank branches, Schnieder & Bowen (1985) found that branches with satisfied employees have customers who are more satisfied with service and are less likely to churn […]

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Getting the Most Value from your Employee Survey

Companies need to ensure they are providing their employees with the tools, information and support they need to be successful at their jobs. One way companies gauge how well they meet their employees’ needs is through an annual employee survey. Employee surveys can provide companies useful insight about what makes their employees want to work […]

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bob@businessoverbroadway.com | 206.372.5990

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