Predictive Analytics in Sales: 5 Ways it Can Power Yours to Success today
Five practical examples of Predictive Analytics that will make your sales team successful.
Getting an edge in today’s competitive market place is vital. For B2B companies, possessing the tools to explore customer behaviour and prioritise leads not only aids productivity but helps boost that all-important bottom line.
Predictive sales analytics has come a long way in the last decade. It is now far more accessible to businesses in traditional industries. For many, it’s a powerful tool in helping to support sales and operations planning.
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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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.
Predictive Analytics in B2B E-commerce: A customer acquisition example
As "Business Manager E-commerce" I work daily with new trends and strategies to improve and optimise the buying experience of our B2B customers.
There is one trend that Business Managers cannot avoid in E-Commerce these days: the systematic use of data to optimise product and sales strategies.
How a Poor Lead Scoring Methodology is Hurting your Business.
Classic Pipeline Management & Lead Scoring vs Predictive Analytics
Sales in Business-to-Business is dramatically changing. Personal contacts and relationships are no longer a guarantee for more business. Pure push strategies are losing its shine. Marketing is critical than ever.
The balance of power between buyers and sales representatives has gone all the way back. Buyers are now masters of product search and vendor selection. Competition? Ubiquitous.