Realism check
How achievable are these guest numbers?
The base-case utilisation curve — 22% Y1, ramping to 67% Y5 — is the heartbeat of every contribution figure on this page. A board reviewing the model is right to ask whether those numbers are genuinely achievable, particularly given the dependence of the financial case on Year 2 and Year 3 hitting their marks. This section pressure-tests the curve honestly, names the execution dependencies the base case relies on, and offers a more conservative alternative for stress-testing.
Year by year, what each number assumes.
Year 1 at 22% utilisation (297 programme guests). Defensible but on the optimistic side of defensible. The figure is plausible conditional on three things landing as projected: the Ayush Spa list converting at the targeted 5% rate to deliver ~100 bookings (the marketing page identifies this as the highest-ROI channel and the most operationally important), the freelance PR engagement landing the targeted six tier-1/tier-2 placements with cumulative reach above two million, and paid social hitting the modelled efficiency at the existing £36k Y1 budget. None of these is guaranteed; all are achievable.
For comparable benchmarking: Lanserhof Tegernsee opened in 2014 with the benefit of 30 years of brand carry from Lanserhof Sylt and ran at roughly 35-40% utilisation in its first year. The Long Hotel launches without that kind of brand carry but with structural advantages Lanserhof did not have: an existing 20-year Ayush Spa client list, the Hotel de France operating asset already mature, and the clinical bloodwork commitment as a structural differentiator. 22% with no brand carry is on the achievable side; 15-18% is the more cautious read of comparable launches without parent-brand association.
Year 2 at 38% utilisation (514 programme guests). A +16 percentage point lift on Y1. Industry pace for Y1→Y2 in premium-clinical hospitality typically runs +10-15pp. The model is at the upper end of that range. The lift is plausible if Y1 lands well — returning guests, word-of-mouth from satisfied Year 1 cohort, accumulated content library, twelve months of editorial pickup — but it is genuinely an aggressive ramp that depends on Y1 execution being strong rather than merely adequate. This is the year that requires the most attention.
Year 3 at 52% utilisation (703 programme guests). Another +14pp jump. By Y3 the brand should be generating meaningful organic demand, and the marketing budget tapers reflecting that (£127k Y1 → £78k Y3). Achievable if the brand-building work of Y1-Y2 has compounded. This is also the year fertility programmes hit their first material share at 18% of total guests.
Year 4-5 at 62-67% utilisation (838-906 programme guests). Steady-state for a mature premium-clinical hotel. Lanserhof Tegernsee took 4-5 years to ramp to 65-75%; Hotel de France's curve follows a similar shape. Defensible at maturity.
The execution dependencies behind the base case.
Five things have to land for the base-case curve to hold. None individually catastrophic if it slips, but cumulatively they are the difference between hitting the modelled trajectory and falling 20-30% behind it.
- Ayush list activation hitting 5% conversion. The Ayush list is the single most commercially important channel in the launch — zero marketing spend, ~100 bookings projected at 5% conversion of an estimated 2,000 active contacts. If conversion lands at 3% instead of 5%, Y1 loses 40 bookings (roughly -3pp Y1 utilisation).
- Editorial coverage delivering at projected reach. Six placements at >2m reach is the Y1 PR target. Coverage that lands but in lower-reach outlets, or fewer placements at higher reach, has compounding effects across Y2 and Y3.
- The Long Week (flagship) capturing the projected ~40% of programme bookings. Tier mix matters more than headline utilisation — the Long Week is the highest-margin tier, and a mix shift toward Weekend/Pause (lower-margin, shorter stays) hits contribution disproportionately.
- The bloodwork commitment converting at the bookings stage. The bloodwork is the structural differentiator for the proposition (see the Market page). The forecast assumes its presence helps marketing efficiency at given spend rather than requiring more spend. If the bloodwork story does not differentiate cleanly in the buyer's mind, paid social CAC trends higher than modelled.
- The Phase 03 fertility partnership materialising on schedule. Y2 fertility share of 8% (~41 guests) depends on the Fertility Health Hub partnership being contracted and the Long Cycle / Long Build / Long Beginning programmes operationally ready by mid-Y2. Slippage on FHH affects Y2 onwards.
A gap to be flagged: fertility marketing in Y2 onwards.
The forecast table currently shows total marketing spend of £106k in Y2, £78k in Y3, £60k in Y4-5 — figures that reflect longevity marketing only. Phase 03 fertility marketing, per the Marketing page, adds an incremental Y2 budget of £30,000-£45,000, tapering across Y3-Y5 as the FHH partnership and Jessica Pinel's nutrition content pillar generate organic demand. This is currently not reflected in the combined cumulative contribution figure of £6.528M. Adding the fertility marketing line cumulatively reduces the five-year contribution by an estimated £75,000-£100,000, taking the combined cumulative to roughly £6.43M-£6.45M. Material to honesty rather than to the case — the renovation recovery story holds across either figure — but worth surfacing rather than absorbing silently.
The prudent alternative scenario.
If the base case represents what the venture can achieve with strong execution across all five dependencies above, a prudent alternative case — what the venture can plausibly deliver with adequate-rather-than-strong execution — looks roughly like this. Note that the membership stream is held constant across both cases, sized conservatively against existing infrastructure per the Membership page and not dependent on residential utilisation.
| Year |
Base case |
Prudent case |
Difference |
| Y1 utilisation |
22% (297 guests) |
18% (243 guests) |
-54 guests |
| Y2 utilisation |
38% (514 guests) |
30% (405 guests) |
-109 guests |
| Y3 utilisation |
52% (703 guests) |
45% (608 guests) |
-95 guests |
| Y4 utilisation |
62% (838 guests) |
55% (743 guests) |
-69 guests |
| Y5 utilisation |
67% (906 guests) |
62% (837 guests) |
-69 guests |
5-year combined cumulative contribution residential + base membership |
£6.528M |
~£5.660M |
~13% lower |
| MVP renovation recovery |
Y2 lower / Y3 upper |
Y3 across full envelope |
One year longer at lower bound |
| MVP + reserve drawn recovery |
Y3 across full envelope |
Y3 across full envelope |
No change |
| Premium Tier 1 recovery |
Y3 across full envelope |
Y3 across full envelope |
No change |
| Premium Tier 1 + reserve drawn recovery |
Y3 across full envelope |
Y3 lower / Y4 upper |
One year longer at upper bound |
The prudent case still delivers a venture that pays back its renovation capital inside the five-year horizon, generates meaningful net contribution, and underwrites a credible programme launch — but it is the case the venture should commit to delivering rather than the case it should commit to achieving. The base case is the upside if all five execution dependencies land cleanly; the prudent case is what the operating team should plan, hire, and budget against.
For board purposes, both figures are useful. The base case shows the upside of a well-executed launch — it is not aggressive in absolute terms (67% steady-state utilisation is at the lower end of mature premium-clinical hospitality), but it is aggressive in the pace at which steady-state is reached. The prudent case shows what survives if execution is uneven across the five dependencies. Neither case threatens the renovation recovery story; the difference is in the magnitude and timing of net contribution above capital recovery, not in whether the venture pays for itself.
A note on what the sliders show. The interactive forecast above includes a built-in "Pessimistic" preset that captures roughly the prudent case directionally. Drag the sliders to 18% / 30% / 45% / 55% / 62% — or click the Pessimistic preset — to see the base-case figures recompute against the more conservative trajectory. The model produces honest live numbers under any utilisation assumption the reader chooses; it does not hide the downside.