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ALOS (Average Length of Stay)
Glossary
ALOS (Average Length of Stay)
Updated
May 3, 2026

ALOS (Average Length of Stay)

ALOS (Average Length of Stay) is the mean number of nights guests stay in a defined period, calculated by dividing total room nights sold by the number of bookings.

What is ALOS (Average Length of Stay)?

Average Length of Stay measures the mean number of nights guests spend at a hotel in a given period. It is calculated by dividing total room nights sold by the number of bookings or arrivals. ALOS is a fundamental operational and commercial KPI because longer stays typically reduce arrival and departure workload per occupied night, lower distribution costs as a share of revenue, and create more opportunities for in-stay promotion. It is most informative when read together with occupancy, ADR, and booking pace.

How to use ALOS in a hotel

Revenue managers use ALOS to design length-of-stay restrictions and minimum-stay rules, particularly around peak demand periods or events. Operations teams use it to plan housekeeping rotation, breakfast covers and front-desk staffing. ALOS also drives segmentation strategy: longer-staying guests, such as aparthotel or service apartment guests, generate different cost and revenue profiles than transient stays and may justify a separate distribution and rate strategy.

Key insight

A longer ALOS is not automatically better; the right ALOS depends on segment mix and demand pattern. The most useful application is to track ALOS by channel, segment and rate plan, then identify which combinations create the most profitable stay length. The ALOS calculator helps test how stay-length changes affect occupancy and revenue at the same time.

How Viqal relates to ALOS

Viqal influences ALOS through pre-arrival communication, in-stay messaging and automated upselling for stay extensions. Timely, contextual offers via WhatsApp for hotels and other channels make it easier for guests to add an extra night, lifting ALOS without manual work for the front office.

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FAQ

Frequently asked.

01
How is ALOS calculated?
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Divide the total number of room nights sold in a period by the number of distinct bookings or arrivals in the same period. For example, 600 room nights from 200 bookings yields an ALOS of 3.0 nights. Properties typically calculate ALOS monthly, quarterly and annually, and segment it by channel and market.

02
Why does ALOS matter to hotels?
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Longer stays reduce per-night fixed costs such as check-in handling, distribution fees and turnover housekeeping, while creating more chances to upsell. Tracking ALOS by segment and channel helps revenue managers identify which mix delivers the most profitable stay length and where minimum-stay restrictions or rate fences could improve performance.

03
Is a longer ALOS always better?
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Not necessarily. Very long stays may displace higher-rated transient bookings during peak periods. The optimal ALOS depends on demand pattern, segment mix and pricing strategy. Most hotels aim to lengthen ALOS in low-demand periods to fill the calendar and may apply minimum-stay rules in high-demand windows to protect ADR.

04
How can hotels increase ALOS?
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Common levers include length-of-stay discounts, package rates that reward additional nights, targeted upsell offers for stay extensions, and minimum-stay restrictions during peak windows. Personalised pre-arrival and in-stay messaging that highlights local events or unused amenities also encourages guests to add an extra night.

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Does ALOS vary by segment?
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Yes. Corporate transient stays often average 1-2 nights, leisure stays 2-4 nights, and extended-stay or aparthotel formats 7 nights or more. Group and MICE business shows distinct patterns again. Segmenting ALOS by source, rate code and channel reveals which segments justify dedicated commercial strategies.

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How does ALOS interact with RevPAR?
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Higher ALOS at a stable ADR typically lifts occupancy and therefore RevPAR. However, if longer stays are achieved by discounting heavily, ADR can fall faster than occupancy rises, leaving RevPAR flat or lower. Tracking ALOS, ADR and RevPAR together avoids optimising one metric at the expense of the others.