Chapter 4

Reading the Market

Student Manual

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Pricing without first reading the market is gambling. The first three sub-tabs of the Decisions page exist to make sure you don't gamble.

Sub-tab What it tells you
Position What just happened β€” your last period's results and how you compared
Forecast What YOU think will happen β€” your day-by-day prediction of how much transient demand you'll capture, at what rate. Saving this also unlocks Market Intel.
Market Intel What your competitors are charging β€” competitor pricing across the upcoming month

Open these in order. Don't skip to Pricing without looking.

4.1 Position β€” what just happened

Decisions β€” Position tab The Position tab is your debriefing room.

Position shows you the last published period through several lenses:

  • Your KPIs β€” occupancy, ADR (average daily rate), RevPAR (revenue per available room), total revenue
  • Leaderboard snippet β€” where you ranked vs competitors on the headline KPIs
  • Competitive intel notes β€” who pushed prices up, who discounted, who hit/missed occupancy

Reading this sub-tab is not optional. The strongest pricing decisions are reactions to recent market behavior, not abstract theory.

Questions to ask while reading Position

  • Did I sell out any nights? If yes, I priced too low on those nights.
  • Did I have β‰₯20% rooms empty? If yes, I priced too high β€” or my product (amenities/marketing) is too weak for that price.
  • Did competitors at my type get higher occupancy than me? What were they charging?
  • Did the leader at my type clearly win on a specific strategy (high price + high occupancy = strong brand; low price + max occupancy = aggressive discounter)?

4.2 Forecast β€” what YOU think will happen

Decisions β€” Forecast tab The Forecast tab. Day-by-day cells where you commit to how many transient rooms you expect to sell, at what rate.

The Forecast tab is not a place where the simulator tells you the future. It's the opposite β€” it's where you predict your own performance, day by day, for the upcoming month.

For each day you enter two numbers:

Input What it means
Expected transient rooms How many rooms you expect to sell that day to walk-in / OTA / direct guests (i.e., not group or contract bookings)
Expected rate The average daily rate you expect to capture on those rooms

The tab also shows you context you can use while forecasting:

  • Transient OTB β€” bookings already on the books from past advance-purchase guests
  • Group OTB β€” confirmed group blocks already on those days
  • Contract OTB β€” confirmed corporate contract room-nights already committed
  • Special events β€” any events your professor flagged for that period

You don't have to forecast groups and contracts β€” they're already confirmed. You only forecast the transient piece, because that's the part you control with pricing and distribution.

Why this matters

Three reasons forecasting is a real skill (and why your professor makes you do it):

  1. It forces you to commit a view. Setting prices without first writing down "I expect to sell X rooms at $Y" is gambling. Forecasting makes you think.
  2. It unlocks Market Intelligence. Once you save your forecast, the Market Intel tab opens up so you can see what competitors are charging. This is intentional: you commit your view first, then test it against the market.
  3. Your accuracy is measured. After the period publishes, the simulator computes how close your forecast was to reality (a MAPE β€” Mean Absolute Percentage Error). Forecast accuracy is a real KPI in revenue strategy.

How to forecast well

Use the OTB and event context plus what you learned in Position (4.1) to anchor your numbers. Useful questions:

  • What did this hotel do on a similar day last month? (Position tab)
  • Is this day a weekend, weekday, holiday? Weekend rates and demand typically run higher.
  • Is there a special event flagged? If so, expect a demand bump (size depends on the event).
  • How much transient demand do I have OTB already? That's your floor β€” the rest is what you expect to layer on at pricing.
  • What rate did I average for the same day pattern previously? Use it as a starting anchor.

Peak vs trough days β€” read them from your OWN forecast

After you've filled in the grid, scan it. The days where your forecasted transient is highest are your expected peaks; the days where it's lowest are your expected troughs.

  • Your expected peaks β†’ consider raising prices, holding back premium inventory, not discount-marketing
  • Your expected troughs β†’ consider lowering prices, fully releasing inventory, leaning into Buzz marketing

πŸ’‘ If your forecast says "I'll sell 80 rooms at $200 on Saturday" but your pricing says $150 β€” something's off. Either you under-priced (and should raise) or you over-forecasted (and should re-think). The two views need to agree.

4.3 Market Intel β€” what competitors are charging

Decisions β€” Market Intel tab Market Intel shows competitor prices day-by-day. This tab may be locked in some simulations.

Market Intel shows you a daily price grid: for each day of the upcoming month, what each competitor is charging.

Heads up: This tab is gated by your forecast. You must save the Forecast tab first to unlock it. Your professor may also disable the tab entirely β€” especially in early periods or in advanced scenarios. If you see a πŸ”’ banner, you'll still have last period's leaderboard, but not competitors' forward-looking prices.

What you do with it

Market Intel turns pricing from a guess into a positioning question:

  • Am I more expensive than the median competitor? If yes, my product needs to justify the premium (better amenities, stronger brand, higher service score).
  • Am I cheaper than the median? If yes, I should be confident that I'll fill β€” and ask whether I'm leaving money on the table.
  • Is there a price war on weekends? Maybe I should price between the bottom two and the top two, not at one extreme.

Don't blindly match

A common rookie mistake: see a competitor charging $200 and immediately match them. That's not a strategy β€” that's an echo.

The right move is to ask why they're charging that:

  • Are they a similar hotel type to you? If they're luxury and you're midscale, their $200 means something different than your $200 would.
  • Are they known for high occupancy or low occupancy at that price? (Position tab tells you.)
  • Are they trying to win volume, or are they confidently riding their brand?

Putting the three sub-tabs together

A useful exercise every period:

  1. Open Position. Write down one sentence: "Last period I ___."
  2. Open Forecast. Commit your view, day by day. Then write down one sentence: "Next month I expect to ___." Save (this also unlocks Market Intel).
  3. Open Market Intel. Write down one sentence: "My competitors look like they're going to ___."
  4. Now open Pricing with those three sentences in mind.

The order matters: commit your forecast before you peek at competitor prices. Otherwise you'll just unconsciously match them and learn nothing.

Next

β†’ Chapter 5: Setting Prices and Inventory (Decisions β€” Pricing tab)

RevStrategy Β· Built by Prof. Enrique Vargas Β· ESEN