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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

You should have all the standard data, such as customer location, age, email, title, etc…, but you should also be inquiring why customers are leaving when they leave. The second challenge lies in whether it’s structured or unstructured data. Analyze your data and data-gathering tools.

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Harnessing the Power of Generative AI in CRM

SugarCRM

Today’s CRM tools have been infused with predictive analytics and machine learning capabilities. Because of the data-backed content, such campaigns will likely have higher conversion rates. According to this Gartner study , almost 80% of CRM buyers today search for AI capabilities when deciding. Generative CRM: What Is It?

CRM 26
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The Future is Now: Take Your Customer Data to the Next Level

CX Journey

Companies are sitting on a goldmine of data. It’s time to do something with all of that data. Predictive analytics and, more importantly, prescriptive analytics. It's time to forecast the future and remedy the present. What am I talking about?