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
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
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):
- 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.
- 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.
- 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
π‘ 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
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 π 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:
- Open Position. Write down one sentence: "Last period I ___."
- Open Forecast. Commit your view, day by day. Then write down one sentence: "Next month I expect to ___." Save (this also unlocks Market Intel).
- Open Market Intel. Write down one sentence: "My competitors look like they're going to ___."
- 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)