I recently wrote about (and visually illustrated) the different types of customer loyalty in customer experience management programs. In that post, I showed how factor analysis can be used to help us understand the measurement and meaning of customer loyalty. In this week’s post, I use factor analysis to illustrate the measurement of two primary touch points about […]
Tag Archives | analytics
Four Things You Need to Know about Your Customer Metrics
A successful customer experience management (CEM) program requires the collection, synthesis, analysis and dissemination of different types of business metrics, including operational, financial, constituency and customer metrics (see Figure 1). The quality of customer metrics necessarily impacts your understanding of how to best manage customer relationships to improve the customer experience, increase customer loyalty and grow your business. […]
Two Things Everyone Needs to Know About Your CEM Program
Customer Experience Management (CEM) programs are complex, data intensive programs. To be successful, you need to effectively communicate information about that program to important stakeholders, including employees, partners, and customers. We know that loyalty leading companies communicate customer initiatives throughout the company, from top executives to front-line employees. For example, in a best practices study on […]
Getting to Love: Customer Word Clouds
I continually look for ways to present data in ways that are both informational and visually interesting. My hope is that, if scientific rigor does not capture the readers’ attention, the way in which the data are presented will. Last month, I stumbled across the use of word clouds in survey research. Word clouds are used to […]