predictive sales software

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.

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Predictive Sales Analytics Fragen Vertrieb

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.

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Artificial Intelligence in B2B Wholesale

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.

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KI Systeme Vertrieb

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.

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Wie Sie Predictive Analytics in Ihrem CRM für datenbasierte Entscheidungen nutzen können

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.

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Customer Retention in Wholesale with AI and Predictive Sales Analytics

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.

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Fragen, auf die Sie als Vertriebsleiter eine Antwort parat haben sollten

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.

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Most interesting thing about marketing and sales

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?

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Cooperation between Sales and Telephonemarketing

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:

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Predictive Sales

Why is internal data considered more reliable and easier to collect than external data?

Simply explained: Why internal data is better for predictive analytics in B2B.

Companies use sales forecast to make business decisions. They also employ them to predict future developments better than their competitors. However, reliable predictions are rare, and sales teams try to play a safe card by applying external forecasts. Companies are nevertheless better off using their in-house data - with predictive analytics.

"There are three types of lies: lies, damn lies, and statistics." This quote from Benjamin Disraeli, a British statesman and 19th-century novelist, fits the situation in companies very well.
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