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The Most Important KPIs in Distribution and the Influence of AI

QYMATIX

In the typical business conduct of a B2B retail company, data plays a role in many areas : retail companies buy goods, use personnel, premises and marketing instruments to sell the products to customers in the markets and to generate sales and ultimately profits. CALCULATE NOW THE ROI OF QYMATIX PREDICTIVE SALES SOFTWARE.

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Implementing and Using Dynamic Pricing in B2B: A Path to Thriving in the Digital Age

QYMATIX

Powered by AI and predictive sales software , dynamic pricing is one of the most potent instruments in this battle for relevance and profitability. Imagine a world where your prices adapt in real-time based on customer behaviour and historical ERP sales data, ensuring you stay competitive, maximize profits , and make customers happy.

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Predictive Analytics Blog – The Best of 2021

QYMATIX

Thank you for your interest in our articles on predictive sales analytics. Build a Price Corridor using B2B Pricing Analytics – Example. Article preview: Pricing Analytics in B2B: The Price Corridor. Pricing policy decisions are of enormous importance for companies due to their straight impact on profits.

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How to Define and Increase the Lifetime Value of your B2B Customers

QYMATIX

Customer Lifetime Value Definition for B2B. Sales and marketing B2B experts define customer lifetime value (CLV or often CLTV), lifetime value (LTV) or lifetime customer value (LCV) as the net profit attributed to the entire customer relationship. Now, to the formulas.

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How to Define and Increase the Lifetime Value of your B2B Customers

QYMATIX

Customer Lifetime Value Definition for B2B. Sales and marketing B2B experts define customer lifetime value (CLV or often CLTV), lifetime value (LTV) or lifetime customer value (LCV) as the net profit attributed to the entire customer relationship. Now, to the formulas.

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Forecasting Individual Customer Lifetime: Why You Should Not Use External Data

QYMATIX

If, for example, the GDP of India is going up 5 % next year, a sales manager could forecast a similar level of increment on her revenues. Will it produce an accurate sales forecast? What impact does the predicted GDP of a region or country into the individual customer value? Is it, nonetheless, a good idea?