Knowledge Base
In a recent episode of The CX Iconoclast podcast, Richard Owen interviewed Bruce Temkin about leadership in an AI-driven world. Temkin introduced the idea of humanity at scale—a framework for ensuring...
One of the most powerful concepts in Customer AI is time-shifting—the ability to see customer outcomes before they show up in traditional metrics. Instead of reacting to churn after it happens, or ...
AI promises speed, scale, and precision. It can automate outreach, predict churn, and prescribe interventions with accuracy. But customers aren’t just data points. Relationships, trust, and empathy...
When executives greenlight a Customer AI initiative, the instinct is to start with IT integration: connect every system, build a perfect warehouse, automate pipelines. It feels like progress — but ...
Technology alone doesn’t transform companies. Culture does. Many Customer AI pilots succeed technically but fail to scale because the organization resists change. Sustained adoption depends on rewi...
What are Passives?
In Net Promoter Score (NPS), passives are customers scoring 7–8 on the recommend question. They are moderately satisfied but lack loyalty, making them vulnerable to churn.
In ...
What are Customer Journeys?
Customer journeys are structured maps of how customers engage with a business across stages such as consideration, purchase, onboarding, usage, and renewal. While wi...
What is Customer AI?
Customer AI is the application of AI to predict customer attitudes and future economic behaviors, with the goal of improving customer lifetime value. It integrates three disci...
Automation has its place, but not every customer relationship can be delegated to algorithms. For high-value accounts—the ones representing millions in revenue or carrying strategic influence—nuanc...
What is Customer Effort Score?
Customer Effort Score (CES) measures how easy it is for customers to complete a task (e.g., resolving an issue, completing a purchase). Rated on a 7-point scale, CES...
