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Interesting facts and statistics about B2B wholesale and manufacturing in Europe
Facts and statistics about B2B wholesale, distribution and manufacturing in Europe & Germany
Distribution in Europe is a significant job provider – 10 million employees. It works at the centre of the continent’s economy, covering almost all goods and services.
Most of the general public probably ignores the role of distribution on the European landscape, although it plays an essential role as the interface between importers, manufacturers, retailers and service providers.
B2B Dynamic Pricing - What Is It and How Can You Implement It In Your Company using Software
All prices in Business-to-Business are dynamic. Some are just more dynamic than others.
Successful companies in B2B tend to adjust their prices based on factors such as production costs, competitor pricing, supply and demand. Dynamic pricing is a pricing strategy in which businesses adjust their prices for products or services based on current market situations.
Practitioners in B2B also refer to dynamic pricing as surge pricing, demand pricing, or time-based pricing. It relies on advanced B2B pricing analytics.
Forecasting Individual Customer Lifetime Value: Why You Should Not Use External Data
There are two types of historical data to use for predictive analytics and sales forecasting: internal and external data. How to know which one to choose?
Making a forecast always requires planning under conditions of uncertainty. Successful sales executives plan and execute an accurate sales forecast using data. For an aggregated, precise sales plan, it is necessary to consider forecasting the individual customer lifetime of the client base.
There are different data sources that executives can use to forecast sales. Some of them count for internal factors while others count for external factors.
How to use Predictive Analytics in your CRM for Truly Data-Driven Decisions?
Successfully implementing Predictive Analytics for data-driven decisions in your CRM requires more than just software.
Every successful sales team wants to become data-driven. Companies that successfully execute predictive analytics in their CRM are easy to identify.
They take care of their salespeople and successfully utilise their current data and processes. They employ the standard software and adapt them to their situation. Finally, they introduce Predictive Sales to CRM step by step and learn from their experience.
Your Sales Role Defines your Customer Analysis Needs
Tell us what your function is and we will tell you what kind of sales analysis you need.
Sales Manager
Your role is critical to the success of your business, but it is typically one of the least understood roles within a sales structure. Sales Managers play strictly a management and not a “super-salesperson” role and are responsible for critical decisions of hiring, coaching, controlling how your sales team performs, while engaging also in other strategic areas of their business.
In this role, you still need to help your sales team to spot opportunities with existing B2B customers.
The most interesting thing about marketing and sales in B2B
What sales was and will be in the future.
This article is a personal one. I have written about exciting facts in business-to-business (B2B) sales and marketing. I have also shared our thoughts about the sales of the future.
In this article, I would like to list my personal choice. What are the most interesting things about sales and marketing in B2B?
What is a Predictive Score Model in B2B Sales? How Can You Create Yours?
A predictive score model is a formula to calculate a probability.
There is a 70% chance that you will read this entire article. How do I know this? Because I used a predictive score model. The score is the probability of you reading to the end of the article (or one minus the likelihood that you will not – the exact opposite).
My example in the paragraph above is a well-known application of predictive analytics in marketing. The most common examples in business-to-business (B2B) sales are lead scoring, churn (or customer attrition), cross-selling, and pricing.
Five interesting Facts & Statistics About B2B Distribution
B2B Sales is changing because buyers are changing – mainly in the way they buy. Companies in B2B distribution are particularly affected by the changes in customer behaviour and their competitive environment. The shift in customer behaviour is the primary driven-factor behind the digitalisation of sales.
Why is Predictive Sales Analytics a “Must-Have” to Increase Sales Productivity in Business-to-Business?
Predictive Sales Analytics is a Game-Changer in B2B.
Productivity in business-to-business (B2B) sales is simply defined as the output rate of a sales team, considering all direct costs and performance. Two trends that are drastically affecting sales productivity are sales analytics in general and predictive sales analytics in particular.
Sales analytics is since long an efficient method to measure what is working and what is not working in sales. This is then used to compare performances in order to increase revenues.
Are you a sales manager with Big Data? Here are three Predictive Analytics examples for B2B
With predictive analytics, big data becomes a big opportunity for B2B sales managers. This significant opportunity requires, however, a profound understanding of the sales situation, coupled with an understanding of big data mining models available.