Pricing Optimisation is a specialised practice.
We use the following disciplines:
Data Analytics
we love data!
This is how we process information to extract business insight.
We start with Discovery, followed by Methodology Development, Strategy Review, Implementation, and Optimisation. All Data-Driven.
Statistical Modelling
Representation. Approximation. Prediction.
This is how we test, analyse, and forecast.
– Market reaction to price change
– Feature Allocation to Commercial Role (i.e. traffic or margin driver)
– Customer Segments based on distribution densities
and so much more
Micro-testing
In market.
How we assess customer’s demand drivers beyond price, and convert business challenges into research test hypotheses in market.
Pricing Tactics
This is the exciting part everyone loves and often overuse.
How to present your prices after setting them correctly using the scientific approach to business.
We advocate simplicity at this stage.
Pricing Strategies
Where long-game approach, analytics, and smart reaction to market comes into play.
Where we make sure your pricing aligns with business goals at the different stages of the product’s life cycle, the company’s maturity phase, operations, and finance.
Behavioural Economics
Final touch of art.
Making sure all the hard work doesn’t stay on paper (well, OK, Excel spreadsheets and Power BI dashboards) and is delivered to the customer in an appetising way.
Data Analytics
Yes. Again!
No market is frozen. Smart businesses keep testing, assessing, and reacting to market dynamics.
Pricing is playing the long game.