Product & price optimisation
Optimise product features and pricing strategies using conjoint analysis to drive short-term sales and give you a competitive advantage
As businesses around the world emerge from hibernation into what is being described by economists as the most competitive landscape the industry has ever seen, the gloves are off to win back sales and market share.
In a marketplace where demand remains unpredictable and consumer values and spending habits are evolving, brands are focusing on product and price optimisation. This offers an immediate opportunity to accelerate financial recovery, create competitive advantage and drive short to long-term growth through price optimisation.
Fast and accurate results
Predict optimal productfeatures & pricing
Increase sales and
preference share


Map customers and competitors
Segment and profile key audiences by combining current behaviour with brand consideration.
Identify and target customers most likely to attract or churn, as well as competitors to gain from or lose against.
Simulate new or existing products and pricing in a competitive context
Identify the optimal offer that best meets consumer needs through intuitive, real-time market simulations.
Utilise Hall & Partners’ industry-leading, web-based market simulator which integrates fully with a multitude of data and knowledge management platforms, including The Hub.
Connect conjoint analysis with actual market share to predict in-market success and build out product and price scenarios that will maximise value for consumers.



Grounded in consumer behaviour
Layer in behavioural economic principles to ensure product and price choice modelling reflects the realities of consumer purchase behaviour and decision making.
Common Price and Product Optimisation Questions
The right price for your product or service will always be one that matches value for your customers with a suitable profit. You also need initial price points that will allow for future price changes including promotional pricing.
Price optimisation is the process of finding this perfect price. We use machine-learning, AI and the added insight of The Modellers team to build a pricing strategy based on historical data on sales, demographic and psychographic data on various customer segments and operating costs.
Our price optimisation formula will forecast demand as well as broader market data including competitors’ prices. It will help you develop pricing that can allow for future price changes and discounts.
Price optimisation can translate into a number of different pricing and promotion strategies, including cost-plus, competitive and dynamic pricing.
The price optimisation process lets your business determine initial pricing in highly dynamic market conditions, helping you stay ahead of the curve.
It can protect you against future fluctuations, so you can stay ahead of competitors’ pricing or offer a promotional price without sacrificing your own revenue.
Whether you’re looking for demand data to predict the best price for a new release or the impact that discount pricing could have on your bottom line, working with us means you don’t have to rely on standard pricing software alone.
We draw on such a wide variety of data sources that we can spot the uncommon approaches to find the sweet spot for your company’s prices.
Get in touch
Complete the enquiry form below and a member of our team will be in touch within one working day.