Predictive Sales Analytics

Alle Preise im #B2B sind dynamisch. Einige sind einfach dynamischer als andere. https://qymatix.de/de/dynamische-preisgestaltung-b2b-vertrieb/ #vertriebscontrolling #vertriebsplanung #customeranalytics #businessanalytics #bi #predictiveanalytics #pricingoptimization #pricingstrategy

What is dynamic pricing in B2B sales and how can you implement it in your company.

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.

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Predictive Sales

Simply explained: Why internal data is better for predictive analytics

Many companies are sitting on a treasure: their own sales data. This is an enormous advantage for the application of predictive analytics.

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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Support of AI-based software solutions in the B2B sales process

An excerpt from Tamara Mayer’s bachelor thesis with a status quo analysis and recommendations for action.

Tamara Mayer is a graduate of the Landshut University of Applied Sciences and has dealt with the topic of artificial intelligence in B2B sales in her bachelor’s thesis. In the context of this thesis, she conducted several expert interviews – among others with the managing director of Qymatix Solutions GmbH Lucas Pedretti.

In the following excerpt of her work, Tamara Mayer gives concrete recommendations to companies who want to optimize their sales processes with AI.
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Lead-Scoring with Predictive Analytics – Sell smarter!

How does AI-based predictive lead and customer scoring benefit your marketing and sales team over traditional methods?

Do you use your CRM system for your lead and customer evaluation and perhaps even with integrated marketing automation? You’re on the right track, but you can do even better: the next step is predictive lead and customer scoring.

Lead and customer scoring have been around for a long time and have proven itself: according to a study by MarketingSherpa, companies that used lead scoring models already achieved a lead generation ROI of 138% in 2011. This performance is almost double more than companies that do not use lead scoring methods (with an ROI of 78%).

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B2B Digital Transformation in Sales: Facts & Trends

Facts and trends about the B2B digital transformation

If you are leading a Business-to-Business manufacturer or distributor, you know it already: sales is currently experiencing a massive transformation across the globe.

Advancement in artificial intelligence technologies of the last five years is providing manufacturing businesses and distributors with new exciting potential.

According to McKinsey, companies now have at their disposal a set of powerful technological tools that are, when properly implemented, able to guarantee future growth:

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