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Customer Loyalty Measures Require Comprehensiveness and Clarity

Developing measures of customer loyalty using survey questions is a scientific endeavor; these loyalty measures are typically customers’ self-reported likelihood of engaging in future loyalty behaviors. Because self-reported metrics are necessarily fraught with measurement error, I have argued for using psychometrics as a way of evaluating these “soft” metrics. Psychometrics helps you understand the reliability […]

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Hospital Ratings

Map of US Hospitals and their Patient Experience Ratings

Hospitals are focusing on improving the patient experience.  The Centers for Medicare & Medicaid Services (CMS) will be using patient feedback about their care as part of their reimbursement plan for Acute Care Hospitals. Under the Hospital Value-Based Purchasing Program (beginning in FY 2013 for discharges occuring on or after October 1, 2012), CMS will make value-based incentive payments to […]

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United States of America’s CTO Wants You to Kick Ass with Big Data

I recently watched an 8-minute TechCrunch interview of United States of America’s Chief Technology Officer, Todd Park, that got me really excited.  It turns out that the Federal government has a lot of free data. In the interview, Mr. Park encourages developers and entrepreneurs to download these data for the purpose of building new products, services, and companies. Park emphasizes […]

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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

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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bob@businessoverbroadway.com | 206.372.5990

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