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Archive | Customer Experience Management

Help us Learn More about Data Science and Machine Learning

Help us Learn More about Data Science and Machine Learning

Data professionals, in all their different forms, play a significant role in how businesses operate today. From business analysts and data scientists to machine learning engineers and software developers, these data professionals extract insights from data and use those insights to drive businesses forward. Finding and using these data-driven insights requires the interplay of data […]

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CXChat_5_22_2019

Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest. The chat (#CXChat) was on customer experience and emerging technologies. You can read the official summary of this CXChat by Sue Duris here.  I was invited as a guest in a weekly tweet […]

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Using IBM Watson to Answer Two Important Questions about your Customers

Customer experience management (CXM) programs are necessarily a quantitative endeavor, requiring CX professionals to decipher insights from a sea of customer data. In this post, I will illustrate how you can use IBM Watson Studio to analyze one source of customer data, customer survey responses, to answer two important questions about the health of your […]

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10 Loyalty Questions for Your Next Customer Survey – Free White Paper

Customer loyalty, a leading indicator of business growth, refers to the extent to which customers feel positively about and engage in positive behaviors (e.g., buy, recommend, buy different) toward a company or brand. Successful companies have customers who recommend them, stay with them and buy more from them compared to less successful companies. To improve […]

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Customer Genome Project

How Data Integration and Machine Learning Improve Retention Marketing

Retention marketing is about preventing your valuable customers from churning. Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos […]

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Figure 2. Customer Analytics Maturity Matrix

Customer Success Executives Need to Answer These 3 Critical Questions

In today’s subscription-based economy, customers are no longer trapped in long-term contracts; instead, they are able to jump to competitors easily when they become dissatisfied with their current vendor. Consequently, many subscription-based and SaaS companies are turning to the practice of Customer Success to retain their customers. Customer Success is the function in a company […]

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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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4 Reasons Why Customer Retention Matters to Your Customer Acquisition Efforts

Business growth depends on acquiring new customers and keeping them around for a long time. Yet businesses are over 2x more likely to focus on acquisition efforts than they are retention efforts. In today’s post, I want to discuss why businesses need to increase their focus on customer retention efforts and why the are imperative to your […]

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