Blog

Revenue management for your hotel

Clear ideas so your hotel charges the right price.

Pace vs. pickup: how to read your booking rhythm

Two sibling metrics that answer different questions: speed and position. Learn to read them together, with examples, to project month-end without jargon.

When to lower your price, and when not to

Cutting the rate looks like the easy way out. Sometimes you just give away margin. The four questions that separate a good discount from one that costs you the year.

Hotel revenue management: the complete guide to selling the right room, at the right price, at the right moment

Revenue management is not raising prices when demand shows up. It is a system for deciding every single day with data, not gut feeling. This is the guide you wish you had on day one.

RevPAR, ADR, occupancy and GOPPAR: the definitive guide to revenue metrics

ADR, occupancy, RevPAR, TRevPAR and GOPPAR don’t compete, they complement each other. This is the guide to understanding them, relating them and deciding which one to optimize for your goal.

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

The booking curve is not academic theory, it is the map of how your hotel fills up day by day. We break down pace, pickup, lead time and on the books, and show how to project month end close with a pace model you can actually audit.

Dynamic pricing for hotels: the guide to knowing when to raise and when to lower

Your room rate should not be the same on a low-season Tuesday as on a Friday with a concert in town. We break down the signals that move your rate, the limits that protect you, and the mistakes that drain your margin.

How to build a hotel compset that actually works

Your competitive set is the mirror your rates look into every single day. Pick the wrong competitors and every pricing decisión is born crooked. This is the guide to building an honest compset, comparing price and quality, and reading the public signals from the OTAs without fooling yourself.

Rate parity: what it is, why it matters and how to protect it

Same room, same night, different prices depending on the channel. That is how rate parity breaks, and how it costs you direct bookings. Here is how to see it and what to do.

Channel mix: direct booking vs OTAs and the real cost of every reservation

Not every booking is worth the same. Here is how to read your channel mix, work out the net cost of each one, and shift demand to direct without running out of guests.

Overbooking and inventory management: sell out without overselling

Overbooking done right is not a gamble, it is math. Here is how to fill the hotel every night without ending up relocating guests at 2 a.m.

Event-driven forecasting: the demand calendar your pricing should know

Events are not noise, they are the strongest signal in your demand. A taxonomy of the events that move rooms, the window to raise in time, and how to turn every date into a pricing rule.

RMS vs spreadsheet: when your hotel finally leaves Excel behind

Your spreadsheet is not the enemy. It got you here and it deserves respect. But a day arrives when every rate you load by hand is a rate you could have lost. This is the honest guide to knowing when that day has come, what a revenue management system truly adds, and how to make the move without becoming a slave to your formulas.