Qymatix Summer Release: New version of its predictive sales software.
Maximize Customer Lifetime Value with Predictive Sales Analytics from Qymatix AI: Qymatix takes B2B sales to a new level with the latest version of its predictive sales software.
Karlsruhe, 17.09.2020: The future of Sales? Qymatix is releasing a new version of its Software-as-a-Service Predictive Sales Tool using advanced data mining, machine learning and the latest data visualisation technology.
Qymatix Solutions GmbH is since 2013 helping companies to increase customer lifetime value using predictive sales analytics and artificial intelligence.
Key Metrics for Successful B2B Sales Teams in Digital Times – Five Unmissable Tips with Examples
Sales productivity metrics and key performance indicators for B2B Sales teams.
Managing a sales team in B2B (Business-to-Business) is a challenging job. The endless list of task and responsibilities sales managers are getting nowadays makes it exciting and stressing at the same time.
How to improve your B2B Customer Journey with Predictive Analytics
About the b2b Customer Journey Management and how Predictive Analytics can help.
Predictive analytics, customer-centric selling, and optimization of the customer journey (CJ) have long been part of everyday life in the B2C sector. In the B2B industry, things look somewhat different. First projects are starting, the theory has already been heard and understood - but there is still a lot of uncertainty regarding the concrete implementation.
That is no wonder. There are some fundamental differences between the B2C and B2B sector. For example, business customers often have higher expectations of the business relationship. It is more important for salespeople to build a personal relationship with their customers and to know their customers.
If Your Data Is Bad, Your Sales AI Tools Are Useless
Artificial intelligence (AI) is steadily advancing in B2B sales. AI is changing the way customers are buying and therefore how salespeople should work.
The gathering of data, its quality, the source systems, all play a central role in the implementation of AI in Sales. Poor data quality may be hard to measure, but it takes an essential part in the application and execution of artificial intelligence systems and predictive analytics.