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

CSAT.AI

Real-world use cases that demonstrate how artificial intelligence can help you gauge customer sentiment and which customers are at risk for cancellation are here. Artificial Intelligence Can Help Predict Customer Churn. Put a CRM in place and more importantly, have an expert set it up correctly.

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Next-Generation CRM: New Changes in Sugar Sell

SugarCRM

A Customer Relationship Management (CRM) system is valuable to an organization when its users happily run their day-to-day activities within the platform. But when six in ten (58%) marketing and sales leaders think their CRM system wastes money, organizations must adapt to both opportunities and threats.

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A History of Customer Support Technology

TeamSupport

1980s-1990s: The Dawn of CRM Software The next two decades saw the adoption of computerized systems for customer support. Companies started using customer relationship management (CRM) software to manage customer information and interactions. One of the early pioneers in CRM software was ACT!, which launched in 1987.

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From Reactive to Proactive: How Organizations are Using AI-Infused CRM to Level-Up CX

SugarCRM

Discover some insights in this article that will help you use AI CRM insights to grow your business and accelerate your CX efforts. One perfect example of leveraging CRM systems is running analytics on invoice information in your ERP tool to help predict and offer your sales and marketing teams actionable insights.

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How to Leverage Technology in Hybrid and Remote Work

SugarCRM

Ensure Your CRM Tools Are Fit for the Purpose. Now more than ever, modern customer relationship management (CRM) systems must support the ability to stay close to existing customers and help secure new prospects. Data growth is exponential, and the need to digest and make sense of the data has outstripped the human mind’s capabilities.

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Adjusting CRM Strategies in the New Normal

SugarCRM

For example, the use of a centralized CRM solution to capture and process details has become critically important given the significant increase in work-from-home (WFH) arrangements. But using aspects of artificial intelligence (AI) or machine learning (ML) to augment workers’ knowledge can help prioritize workload focus.

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Using AI and Empathy to Create Marketing Strategies and Improve CX

SugarCRM

The challenge is that with the rise of the digital economy, marketers are swimming in copious amounts of customer data to interpret and inform personalized, empathic communications —an unfair match for the human brain without the help of artificial intelligence (AI). In turn, that also augments the overall experience for customers.

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