CLV (Customer Lifetime Value)
CLV (Customer Lifetime Value), sometimes written CLTV or LTV, is the total profit a hotel expects to earn from a guest across the whole of their relationship, rather than from a single stay. It converts guest acquisition from a per-booking cost question into an investment question: an acquisition cost that looks indefensible against one €180 room night can be entirely rational against a guest who returns three times a year for five years.
Formula
CLV = Average profit per stay × Stays per year × Expected relationship length (years)
A more useful working version nets out acquisition and discounts future value:
CLV = (Average total spend per stay × Gross margin × Annual stay frequency × Retention years) − Acquisition cost
Example
Two guests at the same hotel:
| OTA first-timer | Direct repeat guest | |
|---|---|---|
| Total spend per stay | €420 | €480 |
| Gross margin | 32% | 38% |
| Stays per year | 0.4 | 2.2 |
| Retention | 1.5 years | 4 years |
| Acquisition cost | €71 (commission) | €25 (email + brand search) |
| CLV | €10 | €1,580 |
The two bookings look nearly identical in the ADR report. Their value to the business differs by two orders of magnitude — which is the entire argument for measuring the guest rather than the reservation.
Why it matters
CLV sets the ceiling on what a hotel can rationally spend to acquire and retain a guest. It justifies loyalty discounts, welcome amenities and win-back campaigns that look like margin giveaways at booking level, and it reframes the OTA relationship: the first booking's commission is defensible if the guest is subsequently converted to direct, and indefensible if they are not — which makes the post-stay conversion rate, not the commission rate, the number that matters.
It also changes what marketing optimises for. A campaign judged on CPA will chase the cheapest bookings available; the same campaign judged on CLV will often favour a more expensive audience with better retention.
Caveats
Hotels are structurally bad at calculating CLV. Guest records fragment across PMS, booking engine and OTA channels — the same person appears as three profiles, one of them behind an alias email — so measured repeat rates understate reality. Retention estimates for leisure properties in destination markets are also genuinely unstable, since many guests never intended to return regardless of how the stay went. A CDP that resolves identity across sources is normally a prerequisite for a CLV number anyone should act on.
Related
- Repeat Guest Ratio — the retention input CLV depends on
- Direct Bookings — the channel shift CLV is most often used to justify
- Ancillary Revenue — total spend, not room rate, is the correct CLV input