A customer-centric organization structures its decisions—regarding products, services, communication, and pricing—around the customer’s needs and perceived value, rather than around internal constraints (production costs, organizational structure, and historical practices). When applied to pricing, this approach results in a preference for value-based pricing, where the price is based on what the customer is willing to pay for the perceived value, rather than solely on the cost of goods or competitive alignment.

A home improvement retailer has determined, through customer surveys, that buyers of renovation products place a high value on in-store technical advice—even more so than on the listed price alone
Rather than strictly aligning its prices with the market’s discount retailer, it maintains a slight premium in categories where advice is a deciding factor and explicitly communicates the value of this associated service
Customer retention rates are increasing in these categories, even though prices remain 4 to 6% higher than those of discount competitors.
A customer-centric pricing approach relies on direct or indirect measurements of perceived value (willingness-to-pay surveys, A/B price tests, price sensitivity analysis by segment) rather than solely on cost of goods sold or competitive benchmarks. It also involves differentiating prices by segment or by use when perceived value actually differs, rather than imposing a single price on the entire customer base.
Customer-centricity is a broader business philosophy; value-based pricing is its practical application to pricing, setting prices based on the value perceived by the customer rather than on cost or competition.
No; on the contrary, it can justify a higher price in segments where perceived value is high, provided that this value is actually delivered and perceived by the customer.
By ensuring that it is based on an actual measure of perceived value by segment (surveys, price tests, behavioral data) rather than on mere intuition or an internally set margin target.

An effective pricing strategy relies on a rigorous segmentation between image products (KVI) and margin drivers to maximize profitability. By balancing perceived value and competitive data, this approach can increase EBITDA by up to 15%. This strategy then translates into a concrete pricing policy that is applied on a daily basis. Clear governance and automated rules ensure consistent execution despite market fluctuations.

An effective pricing strategy relies on rigorous segmentation between key value items (KVIs) and margin drivers. To protect profitability, retailers must move away from blind competitive matching by establishing strict governance and pricing corridors. Data-driven management using cleansed data allows companies to restore their price image and margins in just 30 days.

Retail promotion management must rely on rigorous data analysis to ensure profitability. By mastering uplift and cannibalization, retailers can transform a high-risk lever into a tool for healthy growth. Precise monitoring is vital, as six out of ten promotions today prove to be unprofitable.