How to use Big Data to stop customer churn in B2B | Predicting Customer Churn
Sales leaders in business-to-business (B2B) organisations are under constant pressure to spot new business opportunities.
It is, however, a too often neglected fact, that some of their current customers will churn and recurring revenues will not return.
Besides attracting new customers, succesful B2B firms also direct their efforts into retaining existing ones.
Shakespeare is dead! Let machine learning bring intelligence to your text.
One first-hand example of predictive text scoring and sentiment analytics using machine learning.
We are always looking for a way to bring machine learning to ERP-Systems. Companies can apply a Predictive Scoring using Machine Learning to prioritize sales leads, discover cross-selling opportunities and to classify text.
To support the efforts of our B2B marketing team, we invested time and resources, developing a machine learning scoring system for our blog content.
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Predictive Analytics CRM - A New CRM or Predictive Analytics? What comes first?
The top 3 reasons why successful companies avoid changing their CRM and use Predictive Analytics instead
Implementing a new Customer Relationship Management System (CRM) is a minefield for B2B companies. These projects tend to last longer than planned and cost more than budgeted. In many cases, they fail altogether.
CRM vendors are quick to oversell the utopian benefits of their solutions. Companies buy them in good faith without clear and measurable expectations.
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.
Predictive analytics - how much data do you really need?
How Much Data Do You Need For Predictive Analytics?
Predictive analytics is one of the technologies with the highest financial impact in B2B sales. Several popular applications of predictive analytics are becoming “must-have” nowadays.
Sales leaders rely on lead scoring, customer attrition modelling, cross-selling analytics and pricing analytics to prioritise their sales activities and increase their customer lifetime value.
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.
Predictive Sales Analytics Software | Qymatix Predictive Sales New Release
With the valuable input from partners and customers, Qymatix has released an improved version of its predictive sales analytics product.
The new version of the SaaS brings together extensive research in the field of predictive sales analytics and front-end usability. Sales leaders in Business-to-Business will benefit with an easy-to-use and easy to understand self-service predictive sales analytics software. Users do not need their IT department to perform advanced sales analytics and will no longer suffer “spreadsheet misery” during sales reporting.
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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.