Predictive Analytics B2B Glaskugel

Why predictive analytics is not a magic ball

 
Learn what predictive analytics can and cannot do.

Predictive analytics enables companies to determine forecasts and probabilities of occurrence from customer data. The result is, for example, a sales target that you can probably achieve. However, many people make a mistake when interpreting these results.

In another blog article, I already described that managing directors and sales managers would like to know why certain events occur or not, why specific customers churn. Why one product does not sell or sells more difficult than another. Why a promising lead does not turn into a customer in the end and remains a non-binding contact.

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Predictive Analytics Fakten

Four facts about predictive analytics that you should know today

 
Predictive Analytics – If you want to use this technology, you should first understand it.

If you keep up to date with new technologies, you have undoubtedly come across several professional articles about Predictive Analytics (PA).

According to the Harvard Business Review, experts agree that predictive analytics delivers a significant gain from your data: actionable information. Precise forecasts are the holy grail for sales decisions in the B2B sector.

But anyone who wants to use predictive analytics profitably should also understand it. For this reason, we have compiled four facts about PA that are often underestimated or ignored in practice.

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Vertriebreporting Software Qymatix

Qymatix expands its product portfolio with the acquisition of Qfigures Sales Reporting Software.

 
Qymatix acquires Qfigures.

Karlsruhe, 18.02.2021. Qymatix Solutions GmbH is since 2013 helping B2B companies to increase customer lifetime value with sales analytics.
We are pleased to announce today the acquisition of the key assets of the former Qfigures GmbH.

The German company developed the Sales Reporting Software Qfigures. Qfigures enabled sales managers of medium-sized companies to analyse their past ERP sales data with just a few clicks.

Qfigures is now branded as Qymatix Reporting Software. It is a desktop application for Windows (from version 7) and Apple OSX (from version 10.6). The programme is compiled exclusively as a 64-bit version and is available to test.
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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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Umsatzwachstum: Kundenbindung als Booster im B2B

Customer Attrition in B2B: loyalty as a sales growth booster

 
Predictive analytics for customer retention plays a critical role to accelerate sales in Business-to-Business.

Building customer loyalty successfully and efficiently is what makes business-to-business companies thriving on the long-term. These market leaders actively engage in customer retention prediction. In the end, reliability lives from common purpose, and not from passive “wait and see”.

Furthermore, for companies that are focused on achieving stable and foreseeable sales growth, B2B loyalty programs are unavoidable. Nobody can reliably grow a customer base in the absence of customer retention predictions.

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