A recent political poll of 800 Americans conducted by Cards Against Humanity showed the usefulness of a one-word response to understanding brands. The question used to elicit the one-word response was, “What’s the first word that comes to your mind when you think of Donald Trump?” The top words were: President, Idiotic, Asshole, Liar and […]
Archive | Customer Experience Management
My Highlights from IBM Think 2018: Data Science, SPSS, Augmented Reality and the Customer Experience
I attended IBM’s inaugural Think event in Las Vegas last week. This event, IBM’s largest (estimated 30,000+ attendees!), focused on making your business smarter and included keynotes and sessions on such topics as artificial intelligence, data science, blockchain, quantum computing and cryptography. I was invited by IBM as a guest to share some insights from […]
Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty
As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Predictive analytics and artificial intelligence capabilities provide a way to extract insights from that data to help you improve the customer experience and optimize customer loyalty. Artificial Intelligence and Predictive Analytics […]
Use These Four Criteria to Develop and Evaluate Your Customer Health Score
Businesses have been putting the customer at the center of their strategy for decades. Adopting a customer-centric strategy, businesses are building their company around the customer to ensure their customers remain satisfied with the relationship and receive value from their products and services. Business leaders are now relying on customer metrics as a way of […]
How Data Science Helps Customer Success Leaders Answer 5 Important Questions About Customer Churn
Data science methods and related tools (i.g., predictive analytics, machine learning) can help companies improve their customer success programs by answering 5 important questions about customer churn, including what is the current churn/retention rate (e.g., descriptive analytics), who is at risk for churning (predictive analytics), what actions can prevent churn (i.e., prescriptive analytics) and more. […]
Top BOB Blog Posts for 2017: Data Science, Machine Learning and Customer Analytics Best Practices
The importance of analytics continues to grow in business and beyond. I did my part this year to spread interest in analytics to more people. All of my top blog posts of 2017 (most reads) are all related to analytics, with posts that address data science, artificial intelligence and machine learning. Below are my top […]
What Must You Ask? Comparing Two Customer Survey Approaches
A new customer survey approach that requires only two open-ended questions provides customer insights that are comparable to a longer, more traditional customer survey. This post presents the new survey approach and outlines its benefits to your enterprise. Customer feedback plays a central role in customer-focused programs. Annual customer surveys are the most popular ways […]
Brands In One Word – Equifax
We recently collected feedback about Equifax using our #BrandsInOneWord approach to measuring attitudes. This method requires each respondent to provide one word that best describes a particular brand. Next, applying our sentiment lexicon to the words, we calculate a Brand Sentiment Index. The #BrandsInOneWord results for Equifax appear below. Equifax is Equif*cked The Equifax brand has […]