Predictive Analytics

Four Machine Learning Applications Your B2B Sales Teams Might Be Using Today

Real life machine learning examples for B2B sales

Without any doubt, in the coming years, progress in machine learning, artificial intelligence and sales automation, will replace many of the time-consuming tasks of B2B salespeople. Your sales team is probably already using machine learning.

Artificial Intelligence (AI) in sales does not mean that Terminator is applying for a sales job, no. It mainly means machine learning. Machine Learning (ML) is a part of what researchers call “narrow” or “weak” artificial intelligence. Neither “weak” or “narrow” sound much of a fighting robot. Weak AI uses software to solve specific problems better than humans.

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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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B2B-Sales-Controlling

Predictive Sales Analytics – How to use it in B2B Sales Controlling

How the sales analytics tools you use impact your sales controlling.

Controlling sales in B2B is increasingly becoming a high-tech game. Since selling cycles in business-to-business are getting longer and sales is getting more expensive, controlling need to look further into the future.

Machine learning, a well-known example of weak artificial intelligence, represents a fantastic opportunity for improvement in B2B sales controlling and business intelligence. It enriches the world of sales analytics with a substantial competitive advantage.

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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 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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