How to Master Your New Sales Management Job in the First 90 Days
90-day plan for a new B2B Sales Manager.
The first 90 days as a sales manager represents a critical period. It is your chance to make a good lasting impression and to change the status-quo in B2B sales teams.
Your team will be concerned, and you will be under stress. In this article, we want to share with you some ideas to successfully overcome this defining first quarter. We also want to show you how our predictive sales tools can help you.
“Every company is a data company”. Data Strategy for B2B Predictive Sales Analytics
How to develop a winning data strategy in the artificial intelligent era.
Having read the most recent publication of the author, strategic business and technology advisor Bernard Marr “Data Strategy: How To Profit From A World Of Big Data, Analytics And The Internet Of Things”, we would like to present our ideas regarding predictive sales analytics in business-to-business (B2B).
Marr is an internationally best-selling author and futurist,
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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.
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.
CRM Analytics – The Qymatix most effective three tips for B2B sales
Sales Analytics is changing the way sales teams work in B2B. Both Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems offer pro and cons for sales analytics. Some teams are already using machine learning for Predictive Sales Analytics from their ERP data; most are just implementing analytic in their CRM.
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.
The Top 5 ERP Sales Data Mining Techniques You Need in B2B Now
Pythia, priestess of Apollo at Delphi, commonly known as the Oracle of Delphi, was one of the most important oracles of Greek antiquity. In classical Greece, an oracle was a person considered to provide insightful advice or prophetic predictions, inspired by the gods. It was, of course, a form of divination.
How to end the war between sales and controlling
Why Controlling and Sales cannot be friends?
Conflict is unavoidable, even necessary in business. “For good ideas and true innovation, you need human interaction, conflict, argument, debate.” - writes Margaret Heffernan, an internationally renowned author, businesswoman, interviewer, and TED speaker.
Conflict will arise in any company, regardless of whether sales controlling and key account management belong or not to the same structure or share the same culture. Conflict is natural - even required. At the same time, predictive analytics is gaining in importance to avoid disputes in and with sales.
Four steps to improve your sales operations with predictive analytics
Optimize your sales planning with Predictive Analytics in four steps.
Sales and Operations Planning (S&OP) encompasses two close-related fundamental processes: sales planning and operations planning.
S&OP is perhaps the most crucial planning process of any company. The primary goal of S&OP is to align three critical but opposing goals: sales productivity, customer satisfaction and inventory optimisation.
With the help of predictive analytics, sales leaders can nowadays improve operations thanks to increases in sales productivity.
The digital future of B2B sales - Expert Interview
Mister Oenning, we know each other through the Federal Association of Sales Manager e.V. (Bundesverband der Vertriebsmanager e.V. (BdVM) ). Could please you introduce yourself to our readers?
With pleasure. First, I am a salesperson, and I have been one with sales passion from the start. I find it very exciting and inspiring to work at the end of value-added processes. It is there, when the customer chooses one particular product or service, which everything a company does shows its real worth.
So, what can be more attractive and more challenging than working for this success?
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