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Data-Driven Pricing

Implement optimal pricing strategies by fusing data with our deep understanding of modern pricing methodologies.

Maximize your profits by implementing data-driven pricing strategies. Depending on your needs, our experts can support you both in the design and implementation phases of such a project. Feel free to book a non-committal video call with our subject-matter expert to get an idea of the value, feasibility and scope. Typical projects are:


Optimized Pricing

Instead of following a flat Cost+Margin pricing approach for all products, exploit product-specific demand patterns by setting prices based on price elasticities. Either as an additional input for price determination or as the basis for a profit maximization approach that simulates expected profits for different pricing scenarios.


Individual Pricing 

Implement a pricing strategy that maximizes profits via price differentiation through individual vouchers and/or discounts e.g. based on order volumes.


Dynamic Pricing

Ensure that your prices are competitive by setting prices based on the (web-scraped) price distribution of your key competitors. This approach can further be used for the initial pricing of new products.


Pricing Strategy

Depending on your business model, we support you in implementing a tailored pricing strategy based on a combination of the above mentioned pricing approaches.



For inspiration, feel free to browse through some of the highlighted case studies below.

Implement optimal pricing strategies by fusing data with our deep understanding of modern pricing methodologies.

Nader Hemaidan

Data-Driven Pricing

Related Case Studies

Using historical sales data to assess the potential for price repositioning of a premium beer brand

Premium Brand Price Repositioning

Using historical sales data to assess the potential for price repositioning of a premium beer brand

Set up an optimised dynamic pricing system based on competitors prices

Dynamic Pricing

Set up an optimised dynamic pricing system based on competitors prices

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