Revenue Optimization
Get paid what the asset is worth. Most independent assets are not underbooked. They are underpriced — on the specific dates, in the specific segments and through the specific channels where nobody is looking.
Rate is the highest-margin lever you own — and the least managed.
You are pricing against last year, not against demand.
Rates are built from last season’s calendar plus a percentage. Last season was not a forecast; it was a record of what you happened to charge. The compression dates you missed are invisible, because nothing in your system was looking for them.
What it costs: Typically the largest unexploited revenue line in an independent assetYour channel manager’s default is your pricing strategy.
A tool distributes rates. It does not decide them. When nobody owns the decision, the tool’s default becomes the strategy by accident.
What it costs: Rate parity leakage and pricing power surrendered to your largest distributorOccupancy is being bought with rate.
High occupancy feels like success. It is frequently the symptom of a rate set too low — the room sold at 60 that would have sold at 85 looks identical on an occupancy report.
What it costs: Invisible, and permanent. This is why RevPAR is the metric of recordThe root cause: There is no pricing system — only pricing decisions, made by a person, under time pressure, without a demand signal.
What we install.
A complete revenue management function, running inside your business, operated by your team.
Installed means running in your property and operated by your team — not delivered as a document and left to you.
- Demand-based pricing logicRules built from your own booking curve, pace, pickup and comp-set behaviour — not from a template.
- A rate structure with a purposeBAR levels, length-of-stay controls, advance-purchase and last-minute logic, and a rationale for each fence that your team can explain.
- SegmentationWhich segments you actually want, at what rate, in what proportion — and what you stop accepting.
- Distribution strategyChannel-by-channel contribution after commission, not gross revenue. Which channels to grow, which to cap, which to exit.
- Direct booking economicsThe arithmetic of shifting share off OTA, the realistic ceiling for your asset type, and the sequence to get there.
- ForecastingA rolling [90]-day forecast your team can actually maintain, with variance tracked weekly.
- RMS selection and configurationIf a revenue management system is justified at your scale, we select, configure and train on it. If it is not, we say so and build the logic without one.
- The weekly revenue meetingAgenda, data pack, decision rights, owner. The habit is the deliverable.
How it runs, week by week.
Including what it costs you in time. We publish this because the objection nobody says out loud is “I do not have the bandwidth for a consulting project.”
| Step | Duration | What we do | What you do | What exists at the end |
|---|---|---|---|---|
| 01 Data & baseline | Week 1 | Extract [24] months of booking, rate, pace, channel and comp data. Establish the RevPAR baseline. | Grant system access[~2 hrs] | An agreed baseline, signed |
| 02 Demand analysis | Week 2 | Booking curve, pace analysis, compression date identification, segment profitability, channel contribution after cost. | Nothing | The demand picture |
| 03 Strategy design | Week 3 | Rate structure, fences, segment targets, distribution plan, direct-booking sequence. | Review workshop[~3 hrs] | Approved pricing strategy |
| 04 Install | Weeks 4–8 | Configure PMS, channel manager and RMS. Build the forecast model, write the SOP, train the team. | Team availability[~6 hrs] | The system, live |
| 05 Embed | Weeks 9–12 | Run the weekly revenue meeting with your team, then hand it over. | Attend weekly[~1 hr/wk] | Your team running it alone |
What you are left holding.
Named, countable artefacts — each one yours to keep, edit and run without us.
The KPIs this service moves.
Measured against a baseline agreed and signed before work begins. Movement figures are indicative ranges pending publication of verified engagement data.
| KPI | Why it matters here | Typical movement | Time to impact |
|---|---|---|---|
| RevPAR | The composite outcome. It is what actually arrived. | [+X%] | [60–120 days] |
| ADR | The margin-rich lever — a dollar of rate carries almost no incremental cost. | [+X%] | [30–90 days] |
| Occupancy | Managed as a constraint, not maximised. | [stable to +X pts] | [60–120 days] |
| Direct booking share | Each point retains [15–25]% of that revenue and the guest relationship. | [+X pts] | [90–180 days] |
| Channel concentration | Reduces pricing-power exposure to a single distributor. | [rebalanced] | [90–180 days] |
| Forecast accuracy | Converts data into staffing, purchasing and pricing decisions. | [±X%] | [90 days] |
Assets and owners we run this for.
Before you ask.
Do we need a revenue management system at [30] keys?
Will raising rate cost us occupancy?
Do you replace our revenue manager?
How do you handle a single-season or highly seasonal market?
Can you work with our existing channel manager and PMS?
Find out what your rate should be.
The Performance Audit quantifies your rate gap by date, segment and channel — before you commit to changing anything.
No pitch deck. No obligation. If we are not the right firm for your asset, we will say so on the call.
Not ready to talk? Send us the numbers instead →