A full hotel is not a profitable one. It depends on who filled it and how.
In hospitality and tourism the headline metrics measure the top line. RevPAR, occupancy and average rate tell you what came in, not what it cost to bring it in. The guest who booked direct and the guest who came through a high-commission channel can pay the same rate and leave very different money behind. The same room can carry very different cost-to-serve depending on the segment, the channel and the season. Time-driven costing puts a cost against each room, guest, segment and channel.
Cost and Profitability Consulting · 150+ models since 2010 · TDABC
Hotel and tourism economics are decided by cost-to-serve per channel, per segment and per guest, which RevPAR and occupancy never wasreveal. The same room at the same rate can earn very different money depending on whether the guest booked direct or through a high-commission channel, and on the servicing the segment demands. The statistics that hold across every sector apply: in the models we build cost-to-serve varies two to three times between customers who look identical, and studies consistently find that roughly 30 percent of any fully costed business is unprofitable once everything is loaded. TDABC assigns distribution cost, servicing effort and capacity to the rooms, guests, segments and channels that actually consume them, so each shows its true cost-to-serve instead of an average. We do not publish a hospitality-specific benchmark, because rigorous figures for this sector are not in our base; the method, not an invented number, is what makes the difference visible.
RevPAR measures the top line. The channel mix decides the bottom one.
RevPAR measures revenue, not profit
Revenue per available room says nothing about the cost of filling it. A high-RevPAR mix loaded with high-commission channels and high-touch segments can earn less than a lower-RevPAR mix that came direct. Distribution and servicing cost decide the difference.
Channel cost is the silent margin leak
A direct booking, an OTA booking, a wholesaler and a corporate contract carry very different acquisition and commission costs. Counted at blended cost, the cheap channels subsidise the expensive ones, and the channel mix decides profitability more than rate does.
Cost-to-serve varies by segment and channel
Two guests paying the same rate can cost very different amounts to serve once channel commission, length of stay, ancillary servicing and support are loaded. Industry analysis shows cost-to-serve varies two to three times between apparently identical customers.
Seasonality is a capacity cost nobody books
A hotel pays for its capacity whether rooms are full or empty. The convention puts practical capacity at 80 to 85 percent of theoretical, and the cost of the unused low-season slice is almost never measured. A 1 percent price improvement typically lifts operating profit by about 8 percent, so pricing each segment and channel on real cost-to-serve matters enormously.
SAME RATE, DIFFERENT COST · BY CHANNEL
Illustrative structure, not a sector benchmark. The same rate leaves very different money once the channel's commission and servicing are loaded. The direct guest and the high-commission guest are not the same business.
Two parameters, no surveys.
A capacity cost rate per resource group (rooms and space, front office, housekeeping, F&B, distribution and reservations) and time equations that describe how each guest, segment or channel consumes those resources. The cost drivers that matter here are booking channel and commission, length of stay, segment servicing intensity, season and occupancy, ancillary demand, and support-contact frequency.
Guest cost = room capacity cost (nights x capacity cost rate) + channel cost (commission and acquisition by booking channel) + housekeeping and servicing time (segment-driven) + front-office and support contacts x time + ancillary servicing (F&B, concierge, requests) + share of property and central overhead by activity consumed
Illustrative structure, not a measured benchmark. The channel-cost term is where two guests on the same rate diverge.
The whale curve is the honest map.
Across sectors, industry research consistently shows the top 20 percent of customers generate 150 to 300 percent of profit while the bottom 10 to 20 percent destroy 50 to 200 percent of it. In a hotel or tour operator that shape typically shows up as a band of high-commission, high-touch or short-stay segments and channels that a strong RevPAR and a blended cost quietly hide. A true cost-to-serve per channel, segment and guest is what draws the curve and tells you which demand to chase and which to re-price or let go. Because a 1 percent price improvement lifts operating profit by about 8 percent, pricing each channel and segment on its real cost is one of the highest-leverage moves available. We use the transversal whale curve and price-lever evidence as the lens; we do not attach a hospitality-specific number to it, because we do not have one.
CHANNELS & SEGMENTS, RANKED BY TRUE MARGIN
Transversal whale curve applied to channels and segments. Not a hospitality benchmark; the agnostic shape as the lens.
Good revenue data, no cost-to-serve.
Hospitality usually has good revenue and channel data, so the raw material exists. The weak dimensions are almost always Cost Allocation, distribution, servicing and capacity cost spread by room-night or revenue rather than by channel and segment actually consumed, and Profitability Visibility, results seen at property or RevPAR level, never per channel, segment or guest. Strategic Decision Support is weak when channel and segment decisions are made on RevPAR rather than on cost-to-serve. The gap is method, not data. The seven dimensions are read qualitatively here, with no invented sector score.
When AI sets the rate, who makes sure each booking pays?
AI changes hospitality cost on the revenue side and the operations side. AI-driven dynamic pricing and occupancy forecasting move rate and mix faster than ever, and personalisation reshapes the servicing each segment demands. On operations, automation absorbs reservations, front-office and support contact, which moves cost-to-serve. The properties that benefit are the ones that already know their true cost per channel, segment and guest, so they can price and plan as the cost base shifts rather than optimise RevPAR blind. This is a question of decision quality, not a regulatory countdown.
Two ways into the sector's cost.
Frequently asked questions
- How do you measure true guest and channel profitability in hospitality?
- Load room capacity, channel commission, housekeeping and servicing, support and ancillary cost onto each guest, segment and channel using time equations, then compare to revenue. RevPAR and occupancy alone cannot do this.
- Why is RevPAR misleading on its own?
- Because it measures revenue per available room, not cost. A high-RevPAR mix loaded with high-commission channels and high-touch segments can earn less than a lower-RevPAR direct mix. Industry analysis shows cost-to-serve varies two to three times between similar guests.
- How should distribution and channel cost be allocated?
- By the actual commission and servicing each channel and segment drives, not by a blended average. The channel mix often decides profitability more than rate does.
- Do you have a hospitality-specific benchmark?
- No. We do not publish sector figures we cannot stand behind. We apply transversal evidence (cost-to-serve variance, whale curve, capacity costing, the price lever) and the TDABC method to your own data.
See which channels, segments and guests actually pay.
ProfitAudit 360 builds the per-channel, per-guest picture on a TDABC base. Or take the Profit Check first: 12 to 15 minutes, no data upload, and it points to where your RevPAR is hiding a loss.
- Fee
- Fixed, agreed before we start
- Duration
- 3 to 5 weeks
- Your time
- 2 to 4 hours in total
- Access
- No ERP access, no lock-in
Proof
A dialysis unit. A €349K deficit made visible, then cut to €52K. Published in the APDH hospital magazine, not a marketing claim.
Read the case study →Who you would be talking to
Miguel Guimarães, Founding Partner
Cost and profitability practitioner for 25+ years. Presented the Damco cost-to-serve case at Managing for Profit (Amsterdam RAI, December 2009), on the same programme as Robert S. Kaplan.
Call +351 910 313 731
Workshops20-21 Oct · Online, ZoomReserve a seat
Reviewed by
Miguel Guimarães
Founding Partner, Cost and Profitability Consulting
More than 150 Time-Driven ABC engagements across 11 sectors since 2010, working within the Kaplan and Anderson framework.
About the author →Published
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- 1Time-driven activity-based costing: ABC made simple and scalable
- 2Cost-to-Serve Analysis
- 3The Whale Curve
- 4TDABC vs ABC
- 5Make-or-Buy and Relevant Costs
- 6Cost-Volume-Profit (CVP) and Break-Even Analysis
- 7Customer Profitability Analysis
- 8Methods & Frameworks: how we cost, defensibly
- 9TDABC for Financial Services
- 10How to calculate cost to serve, step by step