Fare optimisation in rail
I help railway operators optimise fare structures so they better match demand, lift yield and capture revenue that current pricing leaves behind.
Why fare structures leak revenue
Rail fare structures tend to accumulate complexity over years — legacy products, overlapping fares, restrictions that no longer reflect demand, and overrides that quietly undermine the intended logic. The result is yield that sits below what the same demand could deliver under a cleaner, better-optimised structure.
Fare optimisation is the work of realigning that structure with how customers actually book and how demand actually moves, so each fare earns its place and the overall mix maximises revenue.
How I approach fare optimisation
- Diagnose the current structure — identify where fares overlap, cannibalise or fail to capture willingness to pay.
- Align fares to demand — redesign structures so price points map to real booking behaviour and segments.
- Reduce manual intervention — let the system and structure do the work rather than constant overrides.
- Measure the uplift — validate the revenue benefit and embed the discipline to sustain it.
Backed by real results
Fare and revenue optimisation work in rail has delivered material, measurable benefit in my engagements — including a revenue management system implementation for a national intercity operator where parallel-run analysis indicated roughly £1m of incremental revenue every four weeks, much of it from better optimisation and reduced manual intervention.
Optimisation only lasts when it is embedded. I stay hands-on to make sure the new structure is adopted, governed and trusted by the commercial team.
Fare optimisation, answered
What's the difference between fare optimisation and dynamic pricing?
Fare optimisation is about getting the structure right — the fare ladder, the price points, the availability rules, and how they move through the booking curve. Dynamic pricing is about responding to live demand within that structure. Optimised fares are the foundation; dynamic pricing is what you layer on top.
How many fare steps should a route have?
Enough to segment demand, not so many that you confuse passengers. The right ladder has clear gaps between price points that separate early-bird, flexible, and last-minute travellers. I design ladders around how each route actually books rather than a fixed template.
Can fare optimisation grow revenue without adding services?
Yes — that's its appeal. Better fare ladders, price points, and availability rules capture more from the trains you already run. No new track, rolling stock, or marketing spend required.
How does availability control affect revenue?
It's where a lot of revenue leaks. Selling too many cheap seats early gives away inventory you could have sold to high-value late bookers; holding too much back leaves seats empty. Availability control balances the two across the whole booking curve.
Let's find your biggest revenue or delivery gap first.
If pricing is underperforming, revenue opportunities are being missed, or a programme has lost momentum, a focused conversation is the fastest way to see where value can be unlocked.