This article explains what the guest nights factor is, why it matters, and how it works in PMI.

What is the Guest nights factor?

In PMI, you forecast room nights — how many rooms you expect to sell. Guest nights are not forecasted separately; they are calculated automatically from your room nights forecast.

You already understand the link between rooms and guests, and that guest volume influences revenue streams, operational demand, and overall performance.

PMI ensures that the relationship between room nights and guest nights remains logically consistent and analytically sound. The guest nights factor protects the integrity between your room nights forecast and your guest nights forecast. When you adjust room demand, guest volume adjusts automatically in a realistic and data-driven way, based on your historical patterns within defined seasons using the Guest nights factor.

The Guest nights factor represents the average number of guests per occupied room night.

For example:

• If most rooms are occupied by single business travellers, the factor will be close to 1.0.
• If most rooms are occupied by couples or families, the factor will be closer to 2.0 or higher.

The factor is always 1.0 or higher, because an occupied room must contain at least one guest.

Who can use it?

All users with edit access to the Rooms forecast in Budget & Forecast module

• Department manager role with additional role: Rooms live forecast manager
• Operational manager
• Controller
• Administrator
• HQ level users

How PMI determines the factor

In PMI, the Guest nights factor is automatically generated based on the PMI seasons used in the Live forecast and the day of the week.

A season in PMI is a defined period during which historical booking behaviour and demand patterns are similar.

For example:

• Business-focused periods → more single travellers → lower factor
• Leisure-focused periods → more couples or families → higher factor

This is only an example of how guest mix can influence the factor. A business-focused period could also occur during a high-demand season.

By analysing historical guest behaviour within each season and the day of the week, PMI calculates a realistic and data-driven Guest nights factor for upcoming dates.

Explaining the Guest nights factor editor

Where ti find it:

Rooms live forecast → Tools → Guest nights factor editor.

If you have selected April in your Rooms forecast and then open the Editor, it will display the factors PMI is using for the month of April.

Image: Edit guest nights factor popup 

In the example above, April contains:

Season 1 (6 March – 10 April)

This period uses the first season running from 6 March to 10 April, labelled ARR: Cheap %: Dip in PMI.
The weekdays show the specific factors applied on each day.

Holiday override (1-7 April)

Within this season, there is a holiday period (Easter) from 1 April to 7 April.
This holiday overrides the standard season values for those days.

Season 2 (11 April – 20 May)

This period uses the second season running from 11 April to 20 May, labelled ARR: Normal %: Medium in PMI.
Again, the weekdays indicate the specific factors used on those days.

Manual exceptions

You can enter manual exceptions. These values override any season or holiday values already defined.

After clicking Edit, you can select specific days or periods to override.

Segments

If your live forecast uses segments, you can collapse or expand the segments to view and manage segment-specific factors.

How it works – Rooms live forecast

Room nights are the cornerstone of all Guest nights calculations — both in Live forecast and in Budget & Forecast.

Guest nights are not editable anywhere. They are driven by room nights and the Guest nights factor.

During forecasting, PMI automatically converts room nights into guest nights using the Guest nights factor. However, the factor is applied only to the pickup, because the On the books (OTB) figure already reflects the actual number of guests from existing reservations.

Let’s work through the example for the segment Other, on Saturday, 11 April:

Image: 11 April guest night factor & ratios

Explanation:

Room nights

OTB is 81 rooms and the forecasted pickup is 11 rooms, giving a Live forecast of 92.

Guest nights factor

The Guest nights factor is 1.32, automatically generated based on seasons in PMI.
The factor is applied only to the pickup, because the OTB figure already contains the real guest numbers from reservations.

Pickup calculation

Pickup guest nights are calculated as: 11 × 1.32 = 15.

Live forecast guest nights

OTB guest nights (81) + pickup (15) = 96 Live forecast guest nights.

What is the Guest ratio?

The Guest ratio is calculated as:

Guest nights ÷ Room nights

• For pickup, the Guest ratio will always equal the Guest nights factor.
• For OTB and Live forecast, the Guest ratio is calculated as:

Live forecast guest nights ÷ live forecast room nights

Because the Guest nights factor is applied only to pickup, the Live forecast guest ratio will usually differ from the Guest nights factor.

Tooltip Information

When hovering over values in Rooms live forecast, PMI displays different information depending on the column.

• Pickup tooltip: Guest nights factor
• Live forecast tooltip: Guest ratio (represents the calculated relationship between guest nights and room nights in the Live forecast.)

Budget & Forecast overview

While the Live forecast works with room nights, guest nights, and Guest nights factor on a daily level, Budget & Forecast displays monthly average data.

Budget & Forecast is used to set:

• Room nights budget and forecast
• Related guest nights budget and forecast

To understand how guest nights are derived in Budget & Forecast, we need to understand the layout.

Image: Guest nights in Budget & Forecast module

In Rooms Budget & Forecast, under Guest nights, you will see:

a. Period guest factor

This is the same average Guest nights factor defined in the Guest nights factor editor and used to adjust Live forecast pickup. This excludes any manual entries and based on seasons only.

In our example:

• • 11 April = 1.32
  • Monthly average for April = 1.08

b. Live forecast guest factor

This is the Guest ratio calculated as: Live forecast guest nights ÷ room nights.

In our example:

• • 11 April = 1.04
  • Monthly average for April = 1.00 (rounded from the actual average: 1.0044)

c. Budget / Forecast

These are the submitted budget or forecast values and remain fixed until saved.

d. Recalculated budget / recalculated forecast

These update when seasons or manual exceptions change, or when pickup values change in the Live forecast.

The recalculated values depend on the toggle between:

• • Period guest factor
  • Live forecast guest factor

Once saved, the recalculated values become the fixed Budget or Forecast.

Changes in the budget or forecast can only occur when the months are open according to the period locking settings.

How to work with Budget & Forecast using the Guest nights factor

1. The Revenue Manager adjusts the Room nights budget or forecast for a month.
2. PMI updates the Recalculated columns automatically.
3. The user chooses either:
   • Period Guest factor (defined in the Guest Night Editor), or
   • Live forecast Guest factor.
4. PMI displays the updated values in the recalculated columns.
5. Once satisfied, the Revenue Manager clicks Save, and the recalculated values become the fixed Budget or Forecast numbers.

Note: Switching between Period or Live forecast Guest nights factor will also activate the Save button.

Why this matters

The Guest nights factor ensures that:

• Room volume and guest volume always stay connected
• Forecast accuracy improves
• Commercial and operational planning is based on realistic guest numbers
• Live forecast calculations remain consistent and reliable

In short, the Guest nights factor translates your room night forecast into a guest night forecast — ensuring that operational decisions reflect a realistic volume of people in your hotel.

Related articles

Live forecast – Revise forecast/budget

Live forecast – Copy to live forecast