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.
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?
Cooperation Between Sales and Telemarketing
What does optimal cooperation between field sales and telemarketing look like? Is it still possible today?
In this article, you will learn about the nine important conditions for telemarketing and field sales to work together optimally.
The following conditions for good cooperation apply to external telemarketing agencies, freelancers in the field, and internal departments alike.
But now to some structural explanations:
AI Data Visualization for Advanced Sales Analytics
Understand your sales data and achieve a much higher business success through an intelligent visualization from Qymatix AI.
Sales Analytics Visualization
“A Picture is Worth a Thousand Words.” That is how Qymatix works. With only one sales data visualisation you can directly access all critical information available at any time: where are the Low-Hanging Fruits, Cross-Selling Quick Wins, Customers at Risk of Churning and Price Setting Potential. Sales managers are now able to implement and track the most appropriate sales KPI and to measure the overall status of existing customers, segmented turnover and profitability and new customer acquisition.
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.
How Predictive Sales Analytics Works and Why It Matters
AI-based programs help your sales team to sell products are services more efficiently. The programs make predictions about your customers' behaviour: who will churn? Who might pay a different price or buy an additional product?
The technology behind this is called "predictive analytics" or, in sales terms, "predictive sales analytics".
10 interesting Facts & Statistics About Sales in B2B
Sales in Business-to-Business is quickly changing. Sales managers will not disappear, but many are struggling to adapt. Technology is making gains in sales controlling. Buyers have a wealth of information at their fingertips. Today, customers place a lot of their B2B purchases online.
How did we get here? Let’s review together some interesting facts and statistics about sales in B2B.
Study: Automated, Artificial Intelligence (AI)-based pricing versus Human-based pricing in B2B
To further explore the potential of automating the B2B salesperson’s pricing decisions.
You'll learn the results of a field experiment conducted by Yael Karlinsky-Shichor (School of Business at Northeastern) and Oded Netzer (Columbia University) to explore "Who makes better pricing decisions in B2B settings - humans or machines?"
We now know that algorithms and artificial intelligence are part of our daily lives. The general trust in systems like Google Maps is relatively high when looking at the number of users utilizing the platform.
Nevertheless, it often happens that we see a route suggestion that causes us to frown and think, "That seems weird to me. I don't think that's right."