Customer Data & Analytics Blog

Chuck Leddy

Recent Posts by Chuck Leddy:

Leveraging customer analytics to reduce churn rates and grow marketing ROI

Chuck Leddy | 3 minute read

Customer retention, often measured by “churn” rate (the percentage of existing customers who leave in a specified period of time), is the most important success factor/KPI for any business. When customers stay, your business can build long-term profitability through repeat purchases, as well as cross-selling and up-selling opportunities. When you retain customers and optimize their lifetime value, you also create brand ambassadors who give you priceless word-of-mouth marketing and referrals. “Churn,” on the other hand, is a revenue killer.

Topics: Customer Analytics

Beyond marketing: The promise of customer intelligence for technology companies

Chuck Leddy | 4 minute read

People get caught up in the differences among business functions, companies, and industries, but easily lose sight of commonalities. For instance, almost every business today calls itself “customer-centric” in delivering value through their business model.

Topics: Customer Intelligence

The rise of the citizen data scientist: How they collaborate with expert data scientists

Chuck Leddy | 3 minute read

The citizen data scientist is a fast-emerging trend, as more non-experts from operational areas (marketing, finance, HR, etc.) increasingly perform data science tasks that were once the exclusive function of expert data analysts and statisticians. It’s important to understand that the emergence of the citizen data scientist will not eliminate the need for today’s data science professionals, as this post explains.

Topics: Customer Intelligence

Empowering the citizen data scientist: The democratization of customer analytics

Chuck Leddy | 3 minute read

Diffusion and democratization is a natural part of the life cycle of any technology, as cutting-edge technologies typically move from the laboratory, into the hands of a few early adopters, get commercialized by industry, and later become widely available to all. For example, the 1980s and ‘90s witnessed the arrival of accessible desktop computing, facilitated by easy-to-use Internet browsers. Computing technology thus moved from big server rooms in corporate headquarters/IT departments and onto the desktops of every single employee. That same computing power is now fully democratized and in everybody’s pocket.

Topics: Customer Analytics

Self-learning in customer analytics: A primer

Chuck Leddy | 3 minute read

Self-learning is now a key marketing technology and a major trend for 2019 and beyond, according to Gartner. While self-learning technology may be neither widely recognized nor well-understood, the trend is already having a broad, burgeoning impact on marketing. This post serves as a self-learning primer, explaining what self-learning is and why Chief Marketing Officers (CMOs) need to care about it.

Topics: AutoML Customer Analytics