Price optimisation techniques and tips
According to figures, the average company spends just six hours on their pricing strategy throughout the lifespan of the business. If you fail to put in the effort to optimise your pricing decisions, this can have a detrimental effect on your business.
To put it simply, price optimisation is using mathematical analysis to work out how to price a product or a service – and understanding how products will sell quickly at the right price and time, while still making a decent profit.
Companies (B2B and B2C) use a price optimisation formula based on factors such as: demand for their product, competition, historical prices and sales, and the cost of manufacturing goods.
The best price point is where companies can best meet their objectives, whether that means increased profit margins, customer growth or a mixture of both.
Price-optimisation models can be used to tailor pricing for customer segments by simulating how targeted customers will respond to price changes with data-driven scenarios. Given the complexity of pricing thousands of items in highly dynamic market conditions, modelling results and insights helps to forecast demand, develop pricing and promotion strategies, control inventory levels and improve customer satisfaction.