Four Machine Learning Applications Your B2B Sales Teams Might Be Using Today
Real life machine learning examples for B2B sales
Without any doubt, in the coming years, progress in machine learning, artificial intelligence and sales automation, will replace many of the time-consuming tasks of B2B salespeople. Your sales team is probably already using machine learning.
Artificial Intelligence (AI) in sales does not mean that Terminator is applying for a sales job, no. It mainly means machine learning. Machine Learning (ML) is a part of what researchers call “narrow” or “weak” artificial intelligence. Neither “weak” or “narrow” sound much of a fighting robot. Weak AI uses software to solve specific problems better than humans.
How to use software for customer churn to improve customer retention - Qymatix Example
Reduction of customer attrition by implementing a churn prediction software in your sales reporting
Understanding and avoiding customer churn ( or attrition) in Business-to-Business(B2B) organisations can make the difference between a successful financial year or a miserable one.
Every experienced sales leader knows that some customers will eventually churn. Studies in the field of customer retention talk of a 5 to 25 % customer churn per year, depending on the industry. Customer attrition is revenue lost.
What Salespeople Need to Know About the New B2B Landscape
“What Salespeople Need to Know About the New B2B Landscape” is a terrific article published in 2015 in the Harvard Business Review (HBR).
HBR released it in the background of a peaked interest in analytics and big data. It discussed how these new technologies would change the B2B sales profession.