Four Dangerous Signs That You Will Miss Your Sales Targets This Year
With a growth of 10.8 %, the year 2010 looked optimistic for the German media market, compared with 2008 and 2009. The improvement included online marketing, free magazines and trade journals, amongst others. Everyone was betting on an active recovery for the key market players.
However, on January 18, 2011, the second biggest European print service providers, Schlott Gruppe AG from Germany, opened insolvency proceedings.
What is the fuzz about Predictive Analytics? One example of B2B Sales will make you start today.
B2B sales went through several transformations in the past decade. Mobile is ubiquitous, CRM Systems are universal and “customer journey” achieved mainstream status. However, Predictive analytics is cutting a “before and after” in B2B sales.
The ability to make predictions radically changes sales in business-to-business (B2B). It brings enormous advantages to pricing, reduces churn and improves sales planning.
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How can a classic salesforce get started with predictive analytics?
In the future, it will be all about reading customer data correctly and drawing the right conclusions for customer strategy. That means a paradigm shift for the classic, contract-trimmed salesforce.
Is the classic field salesforce as known to companies and customers - slowly but surely - dying out? The digital transformation, currently the most critical driver of change, suggests this, and it has significant implications for B2B business and for internal processes.
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.
Why KPI’s Are Important to Your Sales Growth
Business success is usually measured in Key Performance Indicators (KPI): quantifiable evidence used to determine how well the sales goals are being met or will be met in the future.
Selecting the right set of key performance indicators is critical to the success of any sales organisation, in particular, those organisations aiming at future sales growth.
However, two main risks arise in the assessment of how well a B2B sales team is performing. First, B2B sales organisations tend to risk overloading their teams with too many KPIs, dashboards, and non-actionable data. Measuring an excess of performance indicators reduces the impact of each KPI, leads to confusion and lack of focus.
The remarkable truth about Predictive Sales Analytics & Controlling
Is predictive sales analytics software the newest secret weapon in B2B?
No organisation will survive the next decade without harvesting the power of predictive sales analytics. However, many sales leaders in Business-to-Business (B2B) still lack the understanding of its benefits or the infrastructure they need.
Some ignore the value of their sales data, languishing unused in their ERP and CRM systems. Furthermore, B2B sales controllers are expected to gather an ever-increasing amount of sales data for their sales leaders to neglect value extraction. Moreover, there is no value in the data if it is not used to improve revenues.
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.
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