Big Data

predictive sales software

Forecasting individual Customer Lifetime: Why you should not use external data

There are two types of historical data to use for predictive analytics and sales forecasting: internal and external data. How to know which one to choose?

Making a forecast always requires planning under conditions of uncertainty. Successful sales executives plan and execute an accurate sales forecast using data. For an aggregated, precise sales plan, it is necessary to consider forecasting the individual customer lifetime of the client base.

There are different data sources that executives can use to forecast sales. Some of them count for internal, some for external factors.

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Predictive Analytics in B2B: 3 Ideen für Vertriebsleiter

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

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

 

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Industrial distribution: Identify potential for cross-selling with predictive analytics

How wholesalers and distributors recognize cross-selling potentials with predictive analytics.

Many manufacturers now sell their products directly to end consumers via web marketplaces. Unfortunately, wholesale trade and industrial distribution are coming under increasing pressure as a result.

Calculating cross-selling potentials using modern data mining can be a suitable strategy for keeping pace with the competition.

A glance at the analyses of the Federal Statistical Office shows that almost 90 % of Germans make online purchases at least once a year.

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Fragen, auf die Sie als Vertriebsleiter eine Antwort parat haben sollten

Fifteen questions you must be able to answer as a sales manager without hesitating

 

Sales Management in B2B is an ever-evolving discipline. The job has been rapidly changing over the past decade, and there is no stop in sight. New technologies emerge, Millennials hit the workspace and markets get disrupted.

Dynamic markets are nothing new. Technology, tools and analytics for B2B sales have invariably been moving forward during the past years. A new generation of sales representatives starts the job profession with different skills and expectations. Sales leaders need to answer what value can each new technology provide to their B2B sales organisation.

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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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