Churn Analytics

Kundenbindung statt Kundenabwanderung mit Qymatix

How to use Big Data to stop customer churn in B2B | Predicting Customer Churn

Sales leaders in business-to-business (B2B) organisations are under constant pressure to spot new business opportunities.

It is, however, a too often neglected fact, that some of their current customers will churn and recurring revenues will not return.

Besides attracting new customers, succesful B2B firms also direct their efforts into retaining existing ones.

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Predictive Analytics Blog – The Best of 2019

 
It’s time again: The year is rapidly ending and if we look back, 2019 has seen a lot for Qymatix.

AI and machine learning are penetrating ever further into the corporate world in Germany. This year we have clearly felt this – in a positive way! Exciting new projects, new customers and interested new partners have accompanied us throughout this year.

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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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