Pacing

Pacing is a forward-looking performance metric that compares your current bookings-on-the-books for a future period to where those bookings stood at the same point in the prior year. It provides an early signal of whether demand is trending stronger or weaker, giving hosts time to adjust pricing and strategy before revenue is lost.

Key Takeaways

• Pacing compares future bookings today vs. future bookings at this same point last year
• "Pacing ahead" means stronger demand; "pacing behind" signals potential weakness
• It is one of the most valuable leading indicators for dynamic pricing decisions
• Should be tracked weekly for the next 30, 60, and 90 days
• Combines with booking lead time data for a complete demand picture

How Pacing Works

Concept:

Pacing measures how far ahead or behind your bookings are compared to the same measurement point in the previous year.

Example:

Today is February 10, 2026. You are looking at bookings for March 2026:

Metric	This Year	Same Point Last Year	Pacing
March nights booked (as of Feb 10)	20 nights	16 nights	+25% ahead
March revenue booked (as of Feb 10)	$3,800	$3,040	+25% ahead
April nights booked (as of Feb 10)	8 nights	12 nights	-33% behind
April revenue booked (as of Feb 10)	$1,520	$2,160	-30% behind

In this example, March is pacing well ahead of last year, suggesting strong demand and an opportunity to raise rates. April is pacing behind, signaling the need for promotional pricing or reduced minimum stays.

Why Pacing Matters for Airbnb Hosts

• Early warning system: Pacing alerts you to demand shifts weeks or months in advance, giving you time to respond before vacant nights become unrecoverable lost revenue.
• Pricing confidence: When pacing ahead, you can confidently raise rates on remaining availability. When pacing behind, you can lower rates early enough to capture bookings that might otherwise go to competitors.
• Revenue forecasting: Pacing data provides a reality-based revenue projection that is more accurate than assumptions based on historical averages alone.
• Year-over-year context: Pacing inherently accounts for seasonality because it compares the same future period across years, making it a more meaningful signal than raw booking counts.

Pacing Report Framework

Pacing Status	Nights Pacing	Recommended Action
Significantly ahead	+20% or more	Raise rates 10-15%, increase minimum stay
Slightly ahead	+5% to +20%	Modest rate increase, hold current strategy
On pace	-5% to +5%	Maintain current pricing and availability
Slightly behind	-5% to -20%	Lower rates 5-10%, reduce minimum stay
Significantly behind	-20% or more	Aggressive discounting, open all availability, last-minute deals

How to Use Pacing Data Effectively

1. Check pacing weekly for the next 30, 60, and 90 days to catch demand shifts early and adjust dynamic pricing accordingly
2. Compare both nights and revenue pacing -- you might be pacing ahead on nights but behind on revenue if rates dropped, or vice versa
3. Layer in booking lead time data to understand whether your market books early or late and calibrate when pacing behind should trigger action
4. Account for market changes like new competing listings, event cancellations, or economic shifts that may make last year's data less comparable
5. Set pacing-based pricing rules in your revenue management tool to automatically adjust rates when bookings cross ahead/behind thresholds