Five interesting Facts & Statistics About B2B Distribution
B2B Sales is changing because buyers are changing – mainly in the way they buy. Companies in B2B distribution are particularly affected by the changes in customer behaviour and their competitive environment. The shift in customer behaviour is the primary driven-factor behind the digitalisation of sales.
How Predictive Sales Analytics Works and Why It Matters
AI-based programs help your sales team to sell products are services more efficiently. The programs make predictions about your customers' behaviour: who will churn? Who might pay a different price or buy an additional product?
The technology behind this is called "predictive analytics" or, in sales terms, "predictive sales analytics".
How Predictive Sales is Transforming the KPIs You Must Be Measuring
A straightforward question: is your sales team using the same sales performance KPI they did five years ago? If your answer is yes, you better watch out, you might not be using the right KPIs.
Of course, sales per quarter and sales quota attainment are still sensible KPIs to measure. However, total revenues or sales vs quota are lagging indicators. They are “slow KPIs” in the nowadays dynamics B2B sales world. They come way too late.
Predictive Analytics: Questions and Answers
This article answers the most asked questions about predictive analytics (PA), according to Google. Predictive analytics is a technology that allows you to look into the future.
Especially in the last two to three years, we have noticed a significant increase in interest in predictive analytics technologies, their possibilities, and their functionalities.
In 2015, we tried to find out what was frequently searched in the area ofpredictive analytics. Other than the question “What is predictive analytics?” no beneficial results came up.
Data Mining in ERP for Sales - All About It!
ERP Data Mining: what we learnt from analysing 100 million of B2B sales transactions.
Data mining is the application of a varied assortment of statistical techniques to ERP datasets. Companies nowadays use data mining to predict outcomes, identify sales trends, prevent customer churn, and dynamically adjust pricing strategies.
Mining enterprise resource planning (ERP) sales data is critical in Business-To-Business, where small improvements in sales efficiency can have a significant impact on results. Mining ERP sales data helps customers to unlock a significant amount of value, discover quick-wins, and to prioritise their sales activities. Automatizing this process is possible today with the help of artificial intelligence (AI).
How to define customer churn in B2B?
B2B Churn Rate: Definition and Calculation.
Business-to-Business (B2B) companies depend on building and developing long-term relationships with their customers to be financially successful.
However, over time, some customers will stop buying or will defect to the competition. Sales managers define this situation as “churn” or “customer attrition”. Managing and reducing customer churn is one of the most important, yet sometimes overlooked job of the sales leader.
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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.
How to calculate and increase return on sales with predictive analytics?
How can B2B manufacturing and distribution increase return on sales (ROS) using strategic sales controlling and predictive sales?
Is there a sales and marketing KPI that manufacturing and industrial distribution companies can use to measure the efficiency of their teams? Yes, there is, The Return on Sales or ROS.
Sales executives also define ROS as a net profit rate. It tells a company how much of every dollar it takes in turns into profit.
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Artificial Intelligence in Sales: B2B Algorithmic Management
Modern data-driven management in B2B sales is where Big Data meets Artificial Intelligence. Using AI for sales efficiency.
Although algorithmic management boasts a fancy, new name, managing a workforce using data is not necessarily a new postulate. Just remember that “The Principles of Scientific Management” were published by Frederick Taylor in 1911 and soon became a culprit of the data-driven management.
Algorithmic management is Taylorism in times of big data and artificial intelligence. It uses machine learning to manage and control workforces. Millions of people employ algorithmic management when ordering food, buying online or taking a cab. Millions of workers respond to algorithms. For some, the future of management, for others a depressing picture.
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Sales Management in times of Artificial Intelligence – Five tips to redefine B2B Sales
Artificial intelligence in sales: our top five tips!
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 the 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.