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Predictive Sales Analytics: Can you anticipate your customers’ journey?

QYMATIX

This information can come in many forms and from many sources: ERP Sales Data, CRM Data, Social Media, Website interactions, the company’s own products (IoT) and other relevant data points. Sales Analytics and data visualisation make these datasets understandable. Predictive Analytics creates the most value out of them.

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Predictive Sales Analytics in Excel? Yes, you could!

QYMATIX

One Useful Example of Predictive Sales Analytics & Predictive Modeling in Excel. One of the critical tasks of a sales manager is to timely identify which opportunities have better chances of closing and what makes a “good” sales opportunity. This step involves making assumptions and finding compromises.

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The Top 3 Predictive Sales Analytics Software for B2B Wholesalers in Germany

QYMATIX

KG have created a research consortium together with the Chair of Industrial Sales and Service Engineering (ISSE) and the Sales Management Department (SMD) at RUB. Digitalization significantly transforms their landscape , particularly in sales, the critical link between companies and markets. KG and X-Bond GmbH & Co.

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A quick guide to sales analytics (+ key sales metrics to watch)

Zendesk

The same is true when trying to build a sales team and a sales strategy without sales analytics. Just like understanding benchmarks and working through practice tests will help you tackle an AP exam, using sales analytics and analytics tools will help you boost sales numbers.

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Why is Predictive Sales Analytics a “Must-Have” to Increase Sales Productivity in Business-to-Business?

QYMATIX

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. Sales analytics is since long an efficient method to measure what is working and what is not working in sales.

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How to avoid the Causality Trap of Black-Box Machine Learning

QYMATIX

You would like to create a set of rules that your sales team can follow to avoid customers from churning or to find hidden sales opportunities. Why cannot your AI sales software do that? AI experts often frame this limitation as rule-based sales analytics versus machine learning. Looks too easy, right?

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How to avoid the Causality Trap of Black-Box Machine Learning

QYMATIX

You would like to create a set of rules that your sales team can follow to avoid customers from churning or to find hidden sales opportunities. Why cannot your AI sales software do that? AI experts often frame this limitation as rule-based sales analytics versus machine learning. Looks too easy, right?