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top102018

Top BOB Blog Posts of 2018: Data Science, Machine Learning and the Net Promoter Score

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, […]

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Data Science Reveals 3 Problems with the NPS Dogma

The Net Promoter Score (NPS), a metric used to gauge the health of the customer relationship, has been used by companies for years. By applying data science principles to understanding the research behind the NPS, however, we see that the NPS claims have three serious problems. First, the “research” behind the NPS claims is flawed. Second, […]

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Estimating Other “Likelihood to Recommend” Metrics from Your Net Promoter Score (NPS)

In the realm of customer experience management, businesses can employ different summary metrics of customer feedback ratings. That is, the same set of data can be summarized in different ways. Popular summary metrics include mean scores, net scores and customer segment percentages. Prior analysis of different likelihood to recommend metrics reveal, however, that they are highly […]

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Figure 1. Graphical summary of findings from the misinformation literature relevant to communication practitioners. The left-hand column summarizes the cognitive problems associated with misinformation, and the right-hand column summarizes the solutions. Figure is from the article by Lewandowsky et al. (2012).

Battling Misinformation in Customer Experience Management

I read an article last week in Scientific American that has implications about the field of customer experience management (CEM). The article, Diss Information: Is There a Way to Stop Popular Falsehoods from Morphing into “Facts”?, discusses the phenomenon of widely held beliefs that are not true. Think about President Barack Obama’s US citizenship status still […]

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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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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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The Net Promoter Score: Let Us Not Forget The Past

Those who cannot remember the past are condemned to repeat it. Those words are as true today as they were in 1905 when George Santayana coined that phrase. In 2003, the Net Promoter Score (NPS) was formally introduced by Fred Reichheld.  His and his co-developer’s overstated claim that the NPS was the best predictor of business growth […]

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Method and Reporting

20 Best Practices for Customer Feedback Programs: Method and Reporting

Below is the next installment of the 20 Best Practices for Customer Feedback Programs. Today’s post covers best practices in Method and Reporting. Best Practices in Method and Reporting Customer requirements are those aspects of the customer experience that are important to the customers. Establishing a comprehensive list of these customer requirements is necessary in any […]

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