Predictive Analytics

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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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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Badass Data Analytics B2B

Badass Sales Analytics for B2B-Companies

 
Get to know 5 Badass Sales Analytics Hacks for large and medium-sized B2B companies.

Do you know the following situation? You work for a B2B manufacturer or wholesaler, and you have some bright minds in your IT department. Data projects are a dime a dozen: in individual departments, across departments (maybe a new CRM?) and some IT people even try to create “THE ONE data analysis”.

Nevertheless, nothing works. The efforts do not pay off measurably, and the analyses wither away in archives.
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b2b sales trends

B2B Sales Trends – What Really Matters

What are essential trends in B2B sales and how to succeed in this flood of innovation?

B2B Sales is fighting an innovation race. Sales managers often have to decide whether they want to engage in a new “sales trend” or not. Which new sales channels should they consider? Which supporting IT programs implement? Which new methods are adopted and which are not?

According to Gartner, purchasing behaviour in the B2B sector is adapting to today’s fast and innovative economy. During this “big data” age of new technologies and rising customer expectations, companies should not stick for too long to old structures. In short, a stagnating company cannot survive in such a dynamic market.

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