You don’t need to code to lead Customer AI. What matters is the ability to frame customer problems, organize data around the journey, and connect predictions to revenue. That’s exactly why we built...

Yes — and it’s becoming a career differentiator. Customer AI certification validates practical skills in predictive CX, NRR economics, prescriptive analytics, and leadership frameworks. For CX, CS,...

What is Net Promoter Score? 

Net Promoter Score (NPS) is a metric that segments customers based on likelihood to recommend. Scores of 9–10 are Promoters, 7–8 are Passives, and 0–6 are Detractors. It...

What is Account-Level Data?

Account-level data refers to customer information aggregated at the account (or company) level, rather than at the individual contact level. This perspective is cruc...

What is Prescriptive AI? 

Prescriptive AI recommends the best course of action based on predictions. It operationalizes insights by guiding teams toward interventions with the highest impact. 

In th...

 What are Detractors? 

In Net Promoter Score (NPS), detractors are customers who respond with a score of 0–6 when asked how likely they are to recommend a company. They are at risk of churn, crea...

 What is Net Revenue Retention? 

Net Revenue Retention (NRR) measures revenue retained from existing customers, accounting for expansion, downsell, and churn. It reflects the efficiency of customer-...

 What is Segmentation?

 
Segmentation is the practice of dividing customers into groups based on shared characteristics, behaviors, or predicted outcomes. It enables targeted strategies rather than t...

AI expertise is valuable, but on its own it isn’t enough. Many Customer AI initiatives stall not because the models are weak, but because the leaders behind them don’t understand the customer domai...

What is Training Data? 

Training data is the dataset used to teach machine learning models how to recognize patterns and make predictions. In Customer AI, this often includes attitudinal survey data ...