Data Driven Pricing

While most strategic and tactical decisions in an organization aim to create value for customers and shareholders, pricing decisions are the ones that are meant to capture this value. For many companies, deciding on a price comes down to a strategic debate. The quantitative part of pricing, on the other hand, is often delegated to competitive benchmarking, adjusted “appropriately,” and to the company’s annual financial statements for inferring the underlying cost structure.

Data and IT have the potential to revolutionize pricing. In fact, they already have in very competitive industry sectors such as airlines, hotels, and mobility: data-driven pricing pioneers have reported impressive profitability improvements. Their success has been based on leveraging the power of granular data, and on using advanced analytics to obtain data-driven insights regarding the price sensitivity of narrow customer segments, or even of individual customers, as a function of the sales channel, of the timing, of the product offering… Models and algorithms, then, assist in optimizing and automatizing pricing decisions (B2C), or in providing decision support systems to managers (B2B).

As granular customer data becomes ubiquitous, the required IT backbone cheaper and more accessible, and data scientists in higher supply, the potential of data-driven pricing opens to many more industries. The key challenge to reaping its benefits is organizational and managerial: one needs to build, lead, or collaborate effectively with a data-driven pricing function. To that end, mastering the strategic tradeoffs of pricing does not suffice: one also needs to have an understanding of the tactics and analytics of pricing, at a basic level.

The Data-Driven Pricing Sprint targets mid-level managers and executives, with functional roles primarily – but not exclusively – in Sales, Marketing, Commercial Finance, and Operations/Supply Chain Management; effectively, any manager or executive that needs to assemble, lead, or collaborate effectively with a pricing function (whether such a function formally exists in their company or not). No technical background is required; only some proficiency with data analysis in Excel, and willingness to learn new concepts and methodologies.

Intake
December 3, 2024
Length
3 weeks
Format
Live Online
Fees
€1,950
€1,755 (until September 2, 2024)

Sprint Details

NEXT EDITION

Live Online
December 3-17, 2024


CONTACT US

Sonia Sainz | Program Director
(+34) 93 253 4220
SSainz@iese.edu

Why a Sprint?