Data-driven pricing

Our vision

Pricing is critical to a business’s success, because it has a direct impact on revenue and profitability.

The wrong price can mean lost sales and lower margins, while the right price can build customer loyalty and increase market share.

We bring strong expertise in using data and analytics to develop effective pricing strategies tailored to your needs:

• How should you price your products or services to maximise revenue and profitability?
• How can you adjust your pricing strategy to compete better in your market?
• How sensitive are your customers to price changes, and what is the impact on your revenue?
• What is the optimal pricing strategy to reach your growth targets?
• Which pricing strategy is most effective at increasing customer loyalty?
• How can you use pricing to target different customer segments and grow your market share?
• What are the pricing trends in your industry, and how can you adjust your strategy to stay ahead?

Our approach

Each project is shaped to your context and needs, and usually covers the following steps.

Defining the project objectives and scope

We align on the business problem the project aims to solve, your vision of success and the data needed for the analyses.

Collecting and analysing data on your market, customers and competitors

• This may include internal and external surveys, analysis of transaction data and information on competitors’ pricing strategies.
• Data is cleaned, organised and analysed with statistical and machine learning techniques to identify patterns and insights.
• Statistical analysis is a core technique: it identifies patterns and relationships in the data, such as correlations between pricing and customer behaviour.
• Machine learning algorithms automatically identify patterns in the data and predict future pricing trends or customer behaviour.

Developing pricing models based on these insights

• Models are tailored to your context and strategy, and may include cost-plus, value-based or dynamic pricing models, among others.
• Data visualisation (charts, graphs, heat maps) communicates the insights and pricing recommendations to your stakeholders.
• Models are evaluated and refined through simulations and A/B testing to make sure they meet the project objectives. A/B testing randomly assigns customers to different pricing groups and compares the results to determine which strategy is most effective.
• Regular alignment meetings keep our proposals in line with your needs.

Implementing the new pricing strategy and monitoring its performance

We track sales and revenue, analyse customer feedback and make adjustments so that the pricing strategy delivers the expected outcomes.

Our offer

We support our clients at every stage of their pricing transformation:

• structuring available data into a usable database;
• in-depth analysis and visualisation of sales and offers;
• pricing maturity assessment;
• identification of pricing opportunities and item-level pricing recommendations;
• design of pricing strategies and implementation of pricing models;
• workshops to secure the buy-in of internal and external stakeholders;
• development of data platforms supporting item-level pricing recommendations;
• support in building a team that keeps the data structure active and performing.