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Knowledge Base

Net Revenue Retention (NRR) customer ai glossary (m-r)

 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-...

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Segmentation customer ai glossary (s-z)

 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...

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Why Is Domain Expertise Essential for Successful Customer AI Leadership? customer ai future work customer ai leadership

 

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...

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Training Data customer ai glossary (s-z)

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 ...

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Customer Lifetime Value (CLV / CLTV) customer ai glossary (g-l)

 

 What is Customer Lifetime Value?

 
Customer Lifetime Value (CLV) is a financial metric estimating the total net profit a customer generates over their relationship with a company, discounted for ...

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Basics (Kano Model) customer ai glossary (a-f)

 

What are Basics? 

 

In the Kano Model, basics are the fundamental expectations customers assume will work (e.g., accurate billing, product delivery). Meeting them is essential, but exceeding them...

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How Does Customer AI Achieve 100x Improvement Over Survey Reporting? customer ai analytics customer ai insights

 

Most companies still lean heavily on surveys as their primary customer insight tool. They send out NPS or CSAT forms, tally the responses, and generate reports. Useful? Sometimes. Actionable? Rarel...

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Operational Data customer ai glossary (m-r)

 What is Operational Data?


Operational data includes usage, onboarding, support interactions, billing, and other activity metrics. It is the backbone of predictive modeling in Customer AI. 

In the ...

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What Breakthroughs Made AI Practical for Business After 2012? customer ai foundations customer ai technology

 

For decades, AI was mostly research papers and prototypes. Then came 2012. Geoffrey Hinton’s team stunned the field with unprecedented accuracy in image recognition, powered by deep learning. That ...

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Predictive AI customer ai glossary (m-r)

 What is Predictive AI?

 
Predictive AI is the use of historical data to forecast future outcomes, such as churn, expansion, or NPS status. It narrows uncertainty by assigning probabilities to custom...

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