How to Define and Reduce Customer Churn in B2B Sales
Customer churn in B2B refers to a portion of subscribers or contract customers who change suppliers during a certain period of time. In B2B practice, some churn goes unnoticed for a long time or is only detected when it is already too late.
Have you ever wondered how you can reduce the likelihood of churn and target B2B loyalty programmes?
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The different kinds of Wholesale Businesses
Wholesale businesses are all around us. From fueling the dropship revolution to supplying critical pandemic supplies worldwide; wholesalers are an important part of our economic infrastructure.
Research Germany explains, “the German wholesale and retail trade represents an annual turnover of 2.19 trillion Euros and 6.4 million employees. There are about 150,000 wholesalers and about 300,000 retailers.”
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The Future of B2B Sales - How Digitalisation influences Sales
High-quality technology and predictive sales software are the future of B2B sales. In the next five years, more and more companies will change the way they work through digitalisation and the use of new sales analytics software.
Digitisation that is customised to businesses is now part of the foundation of every company and lays the groundwork for success.
If you are interested in the impact and influence of digitalisation in B2B sales, then register for the following course: "B2B Sales of the Future - Influence of Digitalisation".
The Role of Artificial Intelligence in B2B e-Commerce
The rise of E-commerce in B2C is mind-blowing. For example, the online giant Amazon made revenues of almost half-a-trillion dollars for the twelve months ending September 30, 2022. And as the number of physical shops declines, e-commerce is becoming increasingly important.
Take Germany. Between 2015 and 2019, 5,000 physical shops were closed yearly in the country. Between 2020 and 2022, up to 47,000 more shops and branches will follow. Meanwhile, online sales are booming. In 2015, online sales were €39.9 billion, but by 2021 they had risen to €86.7 billion, with a forecast of €97.4 billion in 2022.
Predictive Analytics in B2B Sales - What it is and how to get Started
Predictive analytics technologies are becoming increasingly popular and are already being used today, especially by wholesalers and manufacturers in business-to-business (B2B) sales.
Perhaps you have already made some elaborate attempts to implement predictive sales analytics with Excel or other spreadsheet programmes. Then you've come to the right place.
Predictive Sales Analytics is a modern technology to look into the future of your sales. Using machine learning methods, Predictive Sales Analytics allows you to make accurate sales forecasts: Customer churn forecasts, cross-selling forecasts and dynamic pricing.
How Artificial Intelligence and Machine Learning can Help in B2B Sales
Expand your expertise on the basics of artificial intelligence (AI) and machine learning (ML) in B2B sales.
You want to tap your potential in B2B sales and have got a taste of AI through applications like ChatGPT? Various applications of artificial intelligence are gaining strong popularity - also in the B2B sector.
The benefits of AI in business practice are undeniable. But despite this, there is still a lot of ambiguity surrounding the topic of "artificial intelligence", so it is not easy to grasp.
In the Qymatix online course on "the Basics of Artificial Intelligence and Machine Learning in B2B Sales", you will learn what exactly AI and machine learning are all about and how such systems can support sales.
Note: the course is only available in german language.
AI Washing: AI or not AI, That is the Question
What is AI Washing? How bad is it? How can you prove it, and what can companies do about it?
"AI Washing" is a company's marketing effort to advertise that their products or services contain artificial intelligence, even though this is only weakly the case, if at all.
"As AI accelerates up the Hype Cycle, many software providers are looking to stake their claim in the biggest gold rush in recent years," says Jim Hare, research vice president at Gartner. "AI offers exciting opportunities, but unfortunately most vendors are focused on the goal of simply developing and marketing an AI-based product, rather than first identifying the need, potential uses and business value to customers."
Gartner analysts see "AI Washing" as one of the main problems hindering the actual development and adoption of AI in enterprises. How can sales executives trust a vendor?
Qymatix Academy celebrates its Relaunch
Karlsruhe, 27.04.2023. Qymatix Solutions GmbH is pleased to announce that its Qymatix Academy has been relaunched. The Academy now features an improved UX design with additional newly recorded videos. In each course, participants will also receive clear scripts that summarise the content. After the final quiz, participants acquire a certificate for each course!
Qymatix Solutions GmbH wants to share the knowledge and practical experience of AI in sales through the Qymatix Academy. The content combines the two specialist areas of "artificial intelligence & predictive analytics" and "B2B sales management or sales practice".
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Five Mistakes Sales Managers Make when Dealing with AI and How to Fix them
Artificial intelligence in B2B sales and how to use it properly.
AI technologies are all the rage in sales and chances are you’re considering them for your own organisation. But what is AI really and how can you avoid the five mistakes sales managers make when dealing with AI?
We’ll help you uncover our top tips for successful AI in sales with this 7-minute read.
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3 Simple Ways B2B Sales Can Use ChatGPT - Examples
As a B2B sales manager, you understand the pressure of competing against e-commerce giants. In the current digital age, the success of your business largely depends on your ability to understand your customers better and predict their buying behaviour.
Take heart; you're not alone. The solution lies in AI. Have you heard of ChatGPT? Here is where AI for B2B sales shines. Like automated sales analytics and predictive sales software, you can better understand your customers and make informed decisions based on data.