Remove Actionable Insights Remove Machine Learning Remove ML Remove NPS
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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. We wanted to highlight some from our most recent How to Use Topic Modeling to Extract Conversational Insights. Is topic modeling supervised machine learning (ML)?

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Text Analytics in Customer Feedback: The CXO’s Secret Weapon

Lumoa

Customer satisfaction drives key metrics like your Net Promoter Score (NPS). Large volumes of qualitative data turn into actionable insights. Understanding these relationships can provide insights into customer preferences and market trends. Lumoa’s software is also enhanced with cutting-edge technology. The result?

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How to Upgrade to an Advanced Customer Experience Strategy

Lumoa

From lead conversion rates (CVR), click-through rates (CTR), and Net Promoter Scores (NPS), companies use multiple metrics to analyze the effectiveness of their CX strategy. This CRM software will need AI and machine learning (ML) features to present a meaningful analysis of all that data.

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A CXOs’ Guide To AI-Powered Strategies

VOZIQ

Understand why customers are departing, evaluate the associated risk levels and determine actionable insights. Machine learning (ML) models take center stage here, predicting churn risk and identifying risk drivers on an individual customer level.

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What is the Role of AI in Customer Feedback Analysis?

Lumoa

NPS Versus AI tools Typically, NPS (Net Promoter Score) is the most widely used customer experience metric. It can provide all the necessary ingredients for actionability. With additional queries, this metric can offer some fruitful insights into what drives the satisfaction or dissatisfaction of customers.