Designing pricing models that unlock profit growth
Pricing underpins commercial success. I build pricing systems based on market intelligence, competitor benchmarking, demand modelling and dynamic optimisation tools like Pricelabs and Airbnb ranking signals. Whether increasing franchise value, improving property yield or structuring SaaS subscriptions, I rely on market data, customer psychology and revenue science to maximise margin without sacrificing conversion.
Market intelligence using Zoopla and demand indicators
Zoopla and property market data provide essential insight into pricing pressure, stock availability and competitive positioning. I use these signals to inform revenue strategies across both B2C and B2B property segments.
Dynamic pricing using Pricelabs and Airbnb algorithm knowledge
In travel and short-let sectors, pricing must reflect seasonality, supply and ranking factors. My work with Pricelabs and Airbnb optimisation frameworks increased revenue and reduced platform dependency across 3,500+ properties.
Manual pricing refinement and PTK Connect alert intelligence
Automated pricing only goes so far. Manual adjustments, alert monitoring and commercial judgement improve performance — especially in properties with nuanced pricing requirements or inconsistent demand cycles.
Competitive SWOT modelling and commercial uplift analysis
I develop SWOT frameworks to evaluate market threats, ensure pricing competitiveness and identify underutilised revenue opportunities. This approach supports strategic decision-making at board level.
Cross-industry pricing for SaaS, services and financial products
From subscription tiers to insurance add-ons, I design pricing that aligns user value with business sustainability — balancing acquisition, activation and margin.