Definition
A promotional strategy consists of the decisions that define a retailer’s promotional policy: which products to promote, how often, by how much, through which channels, and for what purposes (traffic, inventory turnover, customer acquisition, etc.). A coherent promotional strategy balances price image, profitability, and sales momentum.
Why it's important
A concrete example
A clothing retailer has defined its annual promotional strategy: four key sales events (winter sales, summer sales, Black Friday, and a spring promotion) featuring broad-based discounts (30%–50% off). Between these events, targeted promotions are held each week on 10–15% of the product range (slow-moving items, end-of-line stock). Key Volume Items (KVIs) are never on sale except during the sales periods. Objective: maintain an overall promotion rate of 25% (25% of sales generated through promotions) while preserving a gross margin of 50%. This strategy is reviewed monthly to make adjustments based on actual performance.
Types of Promotions
Common Mistakes
Learn more
Mini FAQ
Using pricing strategy simulations before deployment allows you to test various scenarios (margin, volume, price-image) on a digital twin without exposing the actual product catalog.

Promotion management in retail must be based on rigorous data analysis to ensure profitability. By effectively managing uplift and cannibalization, retailers can turn a risky strategy into a tool for healthy growth. Precise management is vital, as six out of ten promotions today prove to be unprofitable.

Given the current volatility, B2C pricing can no longer rely on intuition but requires a data-driven strategy. This analytical rigor enables real-time price adjustments to maximize profitability without sacrificing volume. A successful transition to this model offers profit growth potential of up to 9%.
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Effective pricing management requires the rigorous integration of internal/endogenous data (costs, historical data) and external/exogenous data (competition, demand). This essential integration helps secure margins and provides an objective basis for decision-making in the face of market fluctuations. By structuring these signals, the organization transforms raw data into a lever for operational profitability, which can be effectively implemented in less than sixty days.