How can a classic salesforce get started with predictive analytics?

In the future, it will be all about reading customer data correctly and drawing the right conclusions for customer strategy. That means a paradigm shift for the classic, contract-trimmed salesforce.

Is the classic field salesforce as known to companies and customers – slowly but surely – dying out? The digital transformation, currently the most critical driver of change, suggests this, and it has significant implications for B2B business and for internal processes.

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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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What is dynamic pricing in B2B sales and how can you implement it in your company.

All prices in Business-to-Business are dynamic. Some are just more dynamic than others.

Successful companies in B2B tend to adjust their prices based on factors such as production costs, competitor pricing, supply and demand. Dynamic pricing is a pricing strategy in which businesses adjust their prices for products or services based on current market situations.

Practitioners in B2B also refer to dynamic pricing as surge pricing, demand pricing, or time-based pricing. It relies on advanced B2B pricing analytics.

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Simply explained: Why internal data is better for predictive analytics

Many companies are sitting on a treasure: their own sales data. This is an enormous advantage for the application of predictive analytics.

Companies use sales forecast to make business decisions. They also employ them to predict future developments better than their competitors. However, reliable predictions are rare, and sales teams try to play a safe card by applying external forecasts. Companies are nevertheless better off using their in-house data – with predictive analytics.

“There are three types of lies: lies, damn lies, and statistics.” This quote from Benjamin Disraeli, a British statesman and 19th-century novelist, fits the situation in companies very well.
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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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