Pricing & Revenue Optimisation

Is your pricing holding your revenue back?

You do not know how much consumers are willing to pay, which offers they prefer or whether your pricing strategy is cutting into revenue and margin.

Price is the fastest lever on revenue and the one most often set on instinct. A wrong move is paid for twice: in lost volume, or in margin given away.

This is for you if
  • You do not know which features justify a higher price.You do not know which benefits consumers would be willing to spend more for.
  • Your offers do not convert as expected.You do not know which combination of price, features and benefits is the most appealing.
  • You do not know what a price change would do.You fear an increase would cut sales, or a discount would damage profitability.
  • The same price for very different segments.You do not know which consumers would pay more, and which ones you are losing because the price does not fit them.
Our method
  1. 01

    Understand how much consumers will pay

    We study how consumers perceive the value of your offer, how sensitive they are to price changes and which differences emerge between segments.

    The techniques we use
    • Willingness to Pay Researchwe estimate how much each segment is willing to pay for a product or service.
    • Price Elasticity Analysiswe analyse how demand changes as the price changes.
    • Price-Based Consumer Segmentationwe identify segments with different price sensitivity and different value expectations.
    The result

    You understand how consumers judge your price and find opportunities to improve where your offer sits economically.

  2. 02

    Find out which offers and features create the most value

    We analyse consumer preferences and the trade-offs they are prepared to accept between price, benefits, features and service.

    The techniques we use
    • Choice-Based Conjoint Analysiswe measure how price and features influence consumer choices.
    • MaxDiff Analysiswe identify which benefits and features are considered most important.
    • Needs-Based Segmentationwe group consumers by their needs and preferences.
    • Product & Pricing Concept Testingwe test new offers, bundles and value propositions before launch.
    The result

    You find out which combinations of price, features and benefits are the most appealing to each segment.

  3. 03

    Predict the impact of pricing strategies

    We use statistical models and machine learning to assess alternative scenarios of price, demand and revenue, taking consumer behaviour and preferences into account.

    The techniques we use
    • Revenue & Demand Forecastingwe estimate how demand and revenue could develop under different scenarios.
    • Conjoint Market Simulationwe simulate how preferences could spread across alternative offers and prices.
    • Revenue Scenario Modellingwe compare strategies against expected sales, revenue, costs and margin.
    • AI-Powered Pricing Analyticswe use predictive models to find patterns and opportunities in price, sales and behavioural data.
    The result

    You compare price and offer scenarios to make better-informed decisions and weigh the trade-offs between volume, revenue and profit.

  4. 04

    Test and optimise the pricing strategy

    We turn the evidence into concrete recommendations and, where possible, test the new strategies before rolling them out at scale.

    The techniques we use
    • Pricing Experimentation & A/B Testingwe assess the impact of alternative prices and offers through controlled experiments.
    • Offer & Bundle Optimisationwe identify combinations of products, services and bundles that better match consumer preferences.
    • Pricing Page UX Testingwe analyse how consumers understand and compare prices, plans and offers.
    • Conversion & Revenue Analysiswe measure the effect of the changes on purchases, average order value and revenue.
    • Pricing Strategy Roadmapwe set out the priority actions to improve offer structure, conversion and margin.
    The result

    You build and validate pricing strategies grounded in evidence, cutting the risk of decisions made on instinct alone.

Not every technique and every solution fits every company. In a free consultation we go through your challenges, your goals and your growth opportunities together, to find the approach that works best for your business.