Demand forecasting: pace, pickup and the booking curve, explained for LATAM revenue managers

Every room night you sell at your hotel was built up over weeks, sometimes months, before the guest ever arrived. That build up has a shape, and that shape is called the booking curve. Understanding it is the difference between setting rates blindly and forecasting demand from evidence. In this guide we take apart the concepts every LATAM revenue manager needs to master: pace, pickup, lead time, on the books and the pace model to project your month end close. No needless jargon, no black boxes, and one principle we treat as non negotiable: every number you see must be explainable and auditable.

What the booking curve is, and why we call it the map of your hotel

The booking curve is simply the picture of how reservations accumulate for a stay date as the arrival day gets closer. Picture a single date, say a Saturday six weeks from now. Today you might have only a few rooms sold for that day. Next week you will have a few more. And so, booking after booking, the number of committed rooms climbs until the day arrives and the hotel operates. If you plot that accumulation against time, you get a line that rises: that line is the curve.

What is powerful is not the curve of a single date, but the pattern that repeats. High season Saturdays tend to fill early and well in advance. Low season Tuesdays tend to fill late and all at once. A beach hotel has a different curve than an urban business hotel, and a boutique hotel in a charming small town has its own. Once you know the typical shape of your curves, you stop reacting to the past and start anticipating the future.

Lead time: how far ahead your guests book

Lead time, also called the booking window, is the number of days between the moment a guest books and the day they arrive. If someone books today for forty days from now, their lead time is forty days. If they book this morning to arrive this afternoon, their lead time is zero days, what in LATAM we fondly call the last minute guest.

Lead time is not a curiosity, it is a decisión lever. A market with long lead time gives you room to raise rates calmly when you see strong demand coming. A market with short lead time forces you to keep your prices and availability sharp, because the sale is decided within hours. In many LATAM destinations both worlds coexist: the international traveler who plans months ahead and the domestic traveler who decides on Friday for the weekend. Your booking curve reflects that mix, and your strategy must respect it.

• Long lead time: you plan with margin, adjust rates gradually and protect inventory for the high value demand that arrives early.
• Short lead time: you keep prices and availability always ready, because the guest’s decisión happens close to the stay date.
• Mixed lead time: you segment your reading by day of week and by season, because the overall average can mislead you.

On the books (OTB): the snapshot of what you have already sold

On the books, shortened to OTB, means what is already in the books, that is, everything you have confirmed as of today for a future date. If for that Saturday six weeks out you have thirty rooms sold and nights confirmed, those thirty rooms are your OTB for that date. OTB is a snapshot of the present: it has no opinion about the future, it only tells you where you stand right now.

The most common mistake is confusing OTB with the forecast. A low OTB does not mean the date will close low, and a high OTB does not guarantee a perfect close. It all depends on where you are on the curve. Thirty rooms sold at six weeks can be an excellent signal for a date that historically fills late, or an alarm for a date that is usually nearly full by this point. OTB only makes sense when you compare it against your own history, and from there the two central concepts of this essay are born.

Pace vs pickup: the two siblings almost everyone confuses

Here is the heart of the matter, and it is worth going slowly because these are two ideas that get mixed up all the time. Pace and pickup measure different things, and a good revenue manager uses them together.

Pickup is the rate of change: how many new reservations came in during a given period. For example, if on Monday you had twenty five rooms sold for that date and today, Friday, you have thirty, your pickup for the week was five rooms. Pickup measures movement, the speed at which the date is filling right now. It is your speedometer.

Pace, on the other hand, is the comparison: how your accumulation of reservations today stacks up against how it stood at the same point on the curve for a reference date, usually the same period last year or an average of similar dates. If for this Saturday you have thirty rooms sold at six weeks out, and last year at six weeks you had twenty, you are ahead on pace. If you had forty, you are behind. Pace does not measure your speed, it measures whether you are ahead or behind a reference. It is your compass.

• Pickup: new reservations that came in during a period. Measures current rhythm and speed. Answers how much did I move.
• Pace: your accumulation today compared to the same height of the curve in a historical reference. Measures relative position. Answers am I ahead or behind.
• Together: pace tells you whether the date needs attention and pickup tells you whether the situation is improving or worsening in real time.

The analogy we use with hoteliers is a road trip. Pickup is the speedometer, it tells you how fast you are going this instant. Pace is comparing your position with a previous trip you already know, it tells you whether you will arrive sooner or later than expected. Going fast is useless if you are headed the wrong way, which is why they are never read in isolation.

The pace model: how to project month end close step by step

Knowing pace, pickup, lead time and OTB is valuable, but the question that truly keeps you up at night is another one: with what I have today, how is the month going to close. That is what the pace model, also called the pickup forecast or curve based forecast, is for. The logic is elegant and, above all, explainable.

The pace model starts from your current OTB, that is, what you already have sold for the remaining dates of the month. Then it looks at how much additional pickup you usually receive between this point on the curve and the stay date, using your own history of comparable dates. That expected pickup is added to OTB. The result is a projection of the total rooms you will likely close. In one sentence: forecast equals what I already have plus what history says still tends to come in.

• Step one: start from the current OTB of each remaining date in the month, the real snapshot of what is sold so far.
• Step two: identify comparable reference dates, same day of week, same season and same stretch of the curve.
• Step three: estimate the remaining pickup, how many reservations usually come in from this point until arrival in those references.
• Step four: add OTB plus remaining pickup to get the projected occupancy of each date.
• Step five: aggregate every date in the month and get the projected month end close, ready to drive rates and restrictions.

A fine point that good analysts respect: remaining pickup is not a single number, it is a range. Demand never behaves identically two years in a row, so an honest forecast acknowledges a conservative scenario and an optimistic one. As an illustrative example, if a date’s OTB is forty rooms and your history suggests remaining pickup of between fifteen and twenty five, your closing projection lives between fifty five and sixty five rooms. Communicating the range, rather than a falsely exact number, is what sets a mature forecast apart.

How pace turns into rate decisions, without guessing

The forecast is not an end in itself, it is the input for deciding price and availability. The combined reading of pace and pickup translates into concrete moves that stop being hunches.

• Pace ahead with strong pickup: demand is coming in better than your reference and still accelerating, it is time to protect inventory and review rates upward in an orderly way.
• Pace ahead with cooling pickup: you are doing well but the rhythm dropped, it is wise to hold and watch before moving prices abruptly.
• Pace behind with weak pickup: you are trailing and not recovering, it is time to activate demand with measurable tactics and check whether price or distribution is holding back the sale.
• Pace behind with strong last minute pickup: you were behind but the date is waking up, do not burn cheap inventory if the curve suggests it can still close well.

Notice that in no case is the answer to drop the rate out of fear. The curve, pace and pickup turn fear into a reading, and the reading into a decisión you can defend in front of your general manager or your owner.

Why transparency and auditability are not a luxury

Here we reach the principle that defines us. A forecast you cannot explain is a forecast you should not trust. If a tool tells you raise the rate today but you cannot see why, which reference dates it used, what remaining pickup it assumed or where the range came from, then you are not making a decisión, you are obeying a black box.

In LATAM hotel revenue management this matters twice as much. Whoever sets the rate often has to justify it to an owner, to partners or to a board, and at times the commercial context requires documenting why a room was sold at a certain price. An auditable forecast means every figure is traceable back to its source: OTB comes from confirmed reservations, pace is calculated against references you can name, and expected pickup comes from your own history, not from an invisible assumption. When the numbers are immutable and traceable, the revenue manager stops being a fortune teller and becomes a professional who accounts for results with evidence.

Closing: demand has a shape, and that shape can be read

Hotel demand forecasting is neither magic nor a gift reserved for the big chains. It is discipline applied to a pattern your own hotel already generates every single day. The booking curve shows you how the sale forms, lead time tells you how far ahead your guests decide, OTB places you in the present, pace tells you whether you are ahead or behind, pickup marks your speed, and the pace model brings it all together to project the month end close. Applied with rigor, and above all with transparency, this framework turns uncertainty into strategy. That is exactly the promise of SENTINEL AI, the RMS for LATAM hotels inside R2 OS: to give you a forecast you understand, that you can audit, and that lets you decide with a clear head even when the market moves fast.