Predictive Sales Forecasting: Answers to 5 Questions of Salespeople
Why should we use predictive sales forecasts in sales? This article is aimed at anyone thinking of using AI for more efficient sales planning and sales management.
Every Saturday morning, Mr. Meier visits the magazine store around the corner to buy the weekend edition of his favourite newspaper. This has been going on for half a year now. The saleswoman knows Mr. Meier by now, and because he stops by every Saturday, she always addresses him with the same question as soon as he enters her store: "Good afternoon, Mr. Meier! The weekend edition, as usual?"
For Mr. Meier, buying his newspaper on the weekend has become a ritual. It's a pattern that repeats itself every week. The saleswoman has recognized this pattern and addresses Mr. Meier about it, almost automatically.
Artificial intelligence in Retail - What can Wholesale Learn from Retail?
How is artificial intelligence (AI) being used in retail and what can wholesalers take away from it?
In this post, I will describe a real-world example of a case in the realm of artificial intelligence in B2C retail. You will learn about the opportunities and challenges that were encountered when using AI systems.
Of course, it is particularly interesting to see which factors can be transferred to B2B wholesale.
Will Artificial Intelligence be Picasso of Tomorrow?
Can Artificial Intelligence be creative?
The cover picture shows the faces of four people. One person does not exist - artificial intelligence (AI) created it. Can you guess who? Number 1, 2, 3 or 4? Read the article to the end and we will tell you.
Today we stray a bit from our usual focus on modern data analysis with predictive analytics and B2B sales. We dedicate ourselves to the question of whether artificial intelligence can be creative.
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.
Better Customer Retention in B2B Wholesale Through Algorithms
Learn three ways to increase customer loyalty with algorithms and Predictive Sales Analytics in B2B wholesale.
Should computer programs be able to increase customer loyalty in wholesale? Yes. And no. We'll discuss what is exactly meant by this in this post.
According to a survey by Roland Berger, customer loyalty was already a top priority for wholesale companies in 2016. However, 1 in 5 wholesale companies also believed that their efforts in the area of digitalization were not yet sufficient to survive the digital competition.
Why a CRM System with Predictive Sales Analytics and AI?
CRM and Sales Analytics: In this article, you will learn what you can expect from a CRM system with artificial intelligence.
Using CRM systems have long been a common practice in large companies today, even if not always successfully implemented. Small and medium-sized enterprises (SMEs) often still have some catching up to do.
Meanwhile, the next expansion stage has long been underway. Predictive sales analytics/artificial intelligence (AI) is being added to the CRM systems.
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.
Correlation does not equal causality - KPIs in Sales
Watch your step! Sales managers and managing directors in B2B confuse correlation and causality.
Data-based decisions in sales are not always ad-hoc better than intuition. The reason for this is the frequent confusion between the terms causality and correlation.
How nice it would be if managing directors or sales executives regularly knew why something happened. Why individual customers churn; why one product does not sell well or sells more than others; why in the end a promising sales lead does not become a customer, regardless of how good our salespeople are.
Fifteen questions you must be able to answer as a sales manager without hesitating
Sales Management in B2B is an ever-evolving discipline. The job has been rapidly changing over the past decade, and there is no stop in sight. New technologies emerge, Millennials hit the workspace and markets get disrupted.
Dynamic markets are nothing new. Technology, tools and analytics for B2B sales have invariably been moving forward during the past years. A new generation of sales representatives starts the job profession with different skills and expectations. Sales leaders need to answer what value can each new technology provide to their B2B sales organisation.
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?