Overview
In AirHost, there are multiple methods available for adjusting and updating daily rates (pricing management).
This guide focuses on helping you decide which method to use for managing your rates.
Key Features (Quick Comparison)
※ ⚪︎ = Suitable / △ = Conditional / ✕ = Not suitable
Method | Small scale (a few rooms) | Large scale (10 rooms or more) | Automation | Flexibility | Operational Difficulty | Features |
Price calendar (manual) | ⚪︎ | ✕ | ✕ | ⚪︎ | ⚪︎ (Easy) | Edit directly on a daily basis |
Pricing Tier | ⚪︎ | △ | ✕ | △ | △ | Rule-based by weekday/season |
Price Template | △ | ⚪︎ | △ | △ | △ | Apply seasonal calendars (peak/off-peak) across multiple properties |
CSV Import | △ | ⚪︎ | △ | ⚪︎ | △ | Bulk management via Excel, etc. |
Pricing API | ✕ | ⚪︎ | ⚪︎ | ⚪︎ | ✕ (difficult) | Fully automated with custom logic |
PriceLabs | ⚪︎ | ⚪︎ | ⚪︎ | △ | △ | Fully automated optimization using market data |
Summary (Choosing the Right Approach)
The choice of rate management method depends on the number of properties and the scale of your operation.
Small scale → Price Calendar / Pricing Tiers / PriceLabs
Large scale → Templates / CSV / API / PriceLabs
👉 Start with Price Calendar or Pricing Tiers, then gradually move toward automation.
■ Features of Each Rate Adjustment Method
① Manual Management via Rate Calendar
👉 Rate Management (Calendar Editing)
Edit rates directly by day on the calendar
The simplest and most intuitive method
Advantages
Changes can be made immediately
Allows flexible adjustments
Disadvantages
Becomes complex as the number of properties and dates increases
Best suited for
Small-scale operations (a few rooms)
When you want to fine-tune rates for specific dates
② Rule-Based Management Using Pricing Tiers
👉Pricing Plans (Pricing Tiers)
Pricing rules are set according to the day of the week, season, and events.
Define a fee for each rank and assign it to the date.
Advantages
Reduces the need for manual adjustments
Enables standardized, rule-based operations
Disadvantages
Not well-suited for sudden demand fluctuations
Does not automatically optimize prices
Best suited for
Cases where pricing patterns are predictable (e.g., weekdays, peak seasons)
When you want stable operations based on predefined rules
③ Rate Templates (Bulk Adjustment)
👉 Rate Management (How to Use Rate Templates)
Apply rates in bulk across multiple dates and multiple properties
Suitable for seasonal pricing (peak/off-peak periods)
Advantages
Significantly reduces manual work
Allows bulk updates across multiple properties
Disadvantages
Not fully automated (manual execution is required)
Exceptions require separate handling
Best suited for
Operations that are still manual but have grown in scale
Bulk adjustments during campaigns or seasonal changes
④ CSV Import / Pricing API (In-house Logic Management)
👉 Rate Management (CSV Import)
👉 AirHost API (Pricing API: Implementation Overview of Price Updates) https://support.airhost.co/en/articles/14775520-airhost-api-pricing-api-%E6%96%99%E9%87%91%E6%9B%B4%E6%96%B0-%E5%AE%9F%E8%A3%85%E3%81%AE%E6%A6%82%E8%A6%81
Bulk apply externally created rates via CSV
Automatically update rates via API (Pricing API)
Common Features
Rate logic is managed outside of AirHost
AirHost is used as the destination system for updates
Advantages
Handles large volumes of data well
Allows fully flexible custom logic design
Disadvantages
CSV: requires manual operation
API: requires development work
Best suited for
Users managing rates via Excel or internal tools
Systems using RMS or custom pricing logic
Medium to large-scale operations
⑤ PriceLabs (Dynamic Pricing)
👉Dynamic Pricing (PriceLabs)
Automatically optimizes rates based on market data
Advantages
Fully automates rate adjustments
Strong for maximizing revenue
Disadvantages
Requires additional cost for the external service
Initial setup (e.g., minimum/maximum rates) is important
Best suited for
Users who want to reduce manual rate management
Those who want market-based dynamic pricing optimization