Thank to a cutting-edge pricing algorithm which focuses on understanding the value perception of customers and aligning pricing strategies accordingly, pricing based on customer data has never been easier. It takes into consideration factors like customer price sensitivity, the perceived value of products or services, and the competitive landscape.

The Customer Algorithm computes a loyalty score by analyzing various customer behaviour metrics, and when mixed with your CRM data (e.g. Customer Sector, Region, Gender, Age, Growth Potential etc.), it can be used to predict an optimal price and re-segment your customer groups.

Yes, you can add variables to the Customer Algorithm. It's designed to be customizable, allowing the integration of additional relevant data points that can enhance its predictive accuracy.

Understanding Customer-level data is crucial for businesses to set prices optimally. It informs how price changes affect sales volume, revenue, and profitability. By knowing how sensitive customers are to various customer price levers, businesses can tailor pricing strategies to maximize profits, remain competitive, and meet market demand effectively.

The Algorithm uses data such as customer purchase history, transaction frequency, buying behaviour, customer feedback, engagement with marketing activities, and any other customer interaction information that reflects their behavior and preferences.

The Customer Algorithm assesses how price changes affect different customer segments based on the loyalty scores. Using these scores, Symson can accurately set optimal prices for different customer segments, ensuring higher margin without hurting customer satisfaction.