Managing Sales Behaviour to Improve Sales Performance using Predictive Sales Analytics

Improving sales performance often involves coaching and modifying the way your key account managers work – what practitioners in the field of sales & marketing define as behaviour. Changing behaviour usually leads to better performance in B2B sales.

There are several known theories and models about behaviour that have not been explicitly developed for sales professionals, but about general social practice.

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A B2B Recession-Proof Salesforce can keep any company afloat.

Is there a global recession looming? Although there is much speculation about the next global recession, most advanced economies are still not feeling the pain. However, every boom has its expiration date.

When the next recession comes and not whether it comes seems to be the right question.

Set aside for a moment the discussion about global risks outside the control of most B2B managers. Let’s focus on the specific steps that sales executives can take to make their sales team recession-proof.

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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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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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Sales processes, salespeople and sales management should adapt to the brave new world of artificial intelligence. Artificial intelligence is taking over the administrative tasks that consume much of managers’ time. It is doing it faster, better, and at a lower cost. It has pros and contras. AI will redefine management.

In B2B Sales, artificial intelligence (AI) refers to Enterprise Resource Planning (ERP) and Customer Relationships Management (CRM) Systems equipped with machine learning and automatized data mining features.

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