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Knowledge Base

What Are the Biggest Risks and Pitfalls in Customer AI Projects? customer ai implementation customer ai roadmaps

 

Customer AI promises a lot: better predictions, precise prescriptions, and measurable revenue impact. But not every project succeeds. In fact, many stumble over predictable risks—not because the ma...

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Is Customer Success About Smiles—or About Revenue? contrarian insights

Customer Success has a branding problem. Too often it’s framed as the “empathy function,” a team of relationship-builders keeping customers happy with smiles and friendly check-ins. It sounds nice. It...

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Lagging vs Leading Indicators customer ai glossary (m-r)

 What are Lagging vs Leading Indicators? 


Lagging indicators reflect outcomes after they occur (e.g., revenue, churn rates), while leading indicators predict future performance (e.g., product adopti...

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Predictive Analytics and Account-Level CX — Lessons from Mauricio Duarte cx iconoclast expert interview

 

In a recent episode in the CX Iconoclast podcast, Richard Owen and Mauricio Duarte discuss how predictive analytics is reshaping B2B customer experience. Their conversation highlights the same shif...

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What Is “Earned Growth” and Why Does It Matter for Efficiency? customer ai justification customer ai roi

 

Most companies obsess over new logo acquisition. Marketing budgets swell, sales cycles stretch, and the cost of each new customer keeps climbing. Yet the real efficiency gain often comes not from b...

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Why Do Traditional Financial Metrics Understate CX Value? customer ai justification customer ai roi

 

When CFOs look at GAAP metrics, they see revenue, costs, and profit. What they don’t see is the future impact of today’s customer experience decisions. Traditional financial reporting is backward-l...

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Touchpoints customer ai glossary (s-z)

 What are Touchpoints?

 
Touchpoints are individual interactions between a customer and a company, such as a call, email, purchase, or support ticket. They are parts of the larger customer journey. 

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Why Do You Need to Make the Case for Customer AI? customer ai future work customer ai leadership customer ai roi

 

Making the case for Customer AI is essential because every new initiative competes for scarce organizational resources. Without a quantified business justification, even promising ideas are sidelin...

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Why Are Most Churn Models Wrong? contrarian insights

Every SaaS board deck has a churn model. And most of them are wrong.

Why? Because they rely on the same tired set of signals: product usage, contract terms, maybe support tickets. That’s like predict...

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Silent Customers customer ai glossary (s-z)

What are Silent Customers? 

Silent customers are those who don’t respond to surveys or provide explicit feedback, often representing 80–90% of the base. Traditional CX programs overlook them, creatin...

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