predicting-customer-churn

How to use software for customer churn to improve customer retention – Qymatix Example

Reduction of customer attrition by implementing a churn prediction software in your sales reporting

Understanding and avoiding customer churn ( or attrition) in Business-to-Business(B2B) organisations can make the difference between a successful financial year or a miserable one.

Every experienced sales leader knows that some customers will eventually churn. Studies in the field of customer retention talk of a 5 to 25 % customer churn per year, depending on the industry. Customer attrition is revenue lost.

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Predictive Analytics in B2B: 3 Ideen für Vertriebsleiter

Are you a sales manager with Big Data? Here three Predictive Analytics examples for B2B

 

With predictive analytics, big data becomes a big opportunity for B2B sales managers. This big opportunity requires, however, a profound understanding of the sales situation, coupled with an understanding of big data mining models available.

 

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Why CRM Projects Fail

Why CRM Projects Fail

Why CRM Projects in B2B Fail and How to Make Them More Successful

Many studies over the years have shown a very high failure rate for Customer Relationships Management (CRM) systems. Already in 2001 Gartner estimated this rate to be at about 50%.

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Vertriebscontrolling-Kunstliche-Intelligenz

Artificial Intelligence Example to Rock Sales Controlling in B2B

Machine learning (ML) and artificial intelligence (AI) hold the key to a tremendous improvement in sales controlling efficiency. A software is intelligent if it can solve problems independently and efficiently.

 

The degree of intelligence depends on the level of autonomy, the extent of complexity of the problem, and the efficiency of the problem-solving process. In artificial intelligence terms, researchers speak of “strong” versus “weak” AI – “general” and “narrow” AI, respectively.
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ai-sales

Sales Management in times of Artificial Intelligence – Five tips to redefine B2B Sales

Sales processes, salespeople and sales management should adapt to the brave new world of artificial intelligence. Artificial intelligence is taking over the administrative tasks that consume much of the managers’ time. It is doing it faster, better, and at a lower cost. It has pros and contras. AI will redefine management.

In B2B Sales, artificial intelligence (AI) refers to Enterprise Resource Planning (ERP) and Customer Relationships Management (CRM) Systems equipped with machine learning and automatized data mining features.

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