Sales Analytics

Wie wird Vertrieb in 50 Jahren funktionieren – Blick in die Zukunft

What type of B2B sales will still exist in 50 years?

Will sales jobs still exist in fifty years from now? Will robots take over all sales jobs? How will artificial intelligence redefine sales management? What long-term influence does digitisation have on B2B sales?

To discuss the future of sales, let’s first present how companies made Business-to-Business sales 50 years ago and how it works today. Let’s then peep inside the crystal ball to see what sales (and marketing) can look like in the future.

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CLV B2B Forecast

How to Define and Increase the Lifetime Value of your B2B Customers

 
Customer Lifetime Value Definition for B2B.

Sales and marketing B2B experts define customer lifetime value (CLV or often CLTV), lifetime value (LTV) or lifetime customer value (LCV) as the net profit attributed to the entire customer relationship. Sales practitioners usually referred to this value as predicted, yet it can also be a historical value.

For business-to-business sales managers and marketers alike, the ability to calculate what customers are worth is hugely appealing. That is the reason why customer lifetime value is prevalent in so many industries nowadays. CLV represents a quantitative metric and brings a long-term perspective to customer relationships.

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Datenbasierte Entscheidungen

Data-driven Management – has Intuition had its day?

Which decisions are better? Intuitive decisions from the gut or rational decisions based on data and facts?

This question occupies countless researchers, and there is still no clear answer. Currently, in the age of big data, data mining and digitization, the importance of data for a business is undeniable. In the business world, executives prefer analytically sound decisions. They are verifiable, justifiable, and data can explain them.

In reality, however, the situation is different.

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B2B Unternehmen Predictive Sales Analytics

Why B2B companies need to start with predictive analytics now

 
Predictive analytics applications are essential in B2B companies but not yet urgent. Here you find out why this situation makes it the best time for B2B companies to start.

How far have AI and predictive analytics applications established themselves in the German B2B corporate world in 2021? Where is the trend heading, and what can we learn from the “Urgent-and-Important-Matrix”?

If you landed in this post, you probably know what predictive analytics (PA) is, how it relates to artificial intelligence and what benefits you can expect. If not, then we recommend reading this post first.
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Predictive Analytics with Excel

How Do You Do Predictive Analytics in Excel Without Rocket Science? The Easiest Sales Forecasting Template.

 
You know the problem entirely. You are using Excel for your sales forecast. Your spreadsheet reports your next quarter revenue, and you need a reliable result.

Accurately forecasting sales is critical for your job. You are an experienced sales manager and have a strong affinity to sales analytics. Only with precise sales forecasts can you negotiate healthier sales goals with your team and management.

With reliable sales predictions, you can improve your sales process and prioritize accounts.

How do you forecast sales today?

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