In the context of global digitalization, businesses face a paradox: while customer data is becoming more abundant, the effectiveness of standard marketing tools is declining. Linear discounts and seasonal sales are gradually giving way to dynamic and personalized pricing.
Why Mass Discounts No Longer Work
The traditional approach to discounts has two critical flaws:
- Margin Erosion: You are giving a discount to those who were already prepared to purchase the product or service at full price.
- Brand Devaluation: Frequent sales train the audience to wait for “Black Fridays,” which disrupts regular sales cycles.
The Mathematics of a Personalized Offer
The R42 system, developed by our team, solves this problem by analyzing the price elasticity of demand.
Machine learning algorithms analyze hundreds of factors: purchase history, activity time, device type, and even weather conditions. Based on this data, the model predicts the purchase probability for each specific user.
Balancing Profit and Trust
The key feature of our approach is the individual threshold. If the system detects that a customer is “hesitating,” it offers them a personal bonus or a temporary tariff. If customer loyalty is high, the price remains standard. This allows companies to:
- Increase total revenue even without attracting new traffic.
- Reduce churn rate by timely offering value to those planning to leave.