Resource price rules in Growth Hub help you align pricing with real demand patterns. You can lower prices to drive utilization during low-demand periods, apply premiums to maximize revenue in peak hours, or use duration-based rules to encourage longer bookings.
This article explains the primary use cases for price rules and demonstrates how to apply them within a continuous price optimization cycle: diagnose demand, act with rules, and learn from the results.
Summary
Resource price rules help balance utilization and revenue during periods of both low and high demand.
Discounts can increase bookings on slower days, such as Mondays and Fridays.
Premiums can capture more revenue during peak times, such as midday on Tuesdays and Wednesdays.
Duration rules allow you to reward longer commitments with discounts while maintaining profitability for shorter bookings.
The price optimization cycle (diagnose, act, learn) guides ongoing improvements to your pricing strategy.
Before you start
Use cases
Resource price rules in Growth Hub cover the following business cases:
Optimize utilization during low-demand periods
You might experience low demand for meeting rooms, event spaces, and daily offices on Mondays and Fridays.
Opportunity: Decreasing prices during low-demand periods can help you maximize utilization and revenue.
Solution:
The Booking Patterns dashboard helps you identify days and time slots with low demand.
With pricing rules, you can discount prices for low-demand days and time slots.
Optimize revenue during periods of high demand
Typically, demand peaks on Tuesdays and Wednesdays, especially during mid-day time slots.
Opportunity: Increasing prices during periods of high demand can help you generate more revenue.
Solution:
The Booking Patterns dashboard identifies periods of high and extremely high demand.
With pricing rules, you can add premiums for days and time slots with high and extremely high demand.
Optimize revenue based on booking duration
You may notice that long bookings block capacity at discounted day rates, while short bookings reduce availability but don't always maximize revenue.
Opportunity: Adjusting prices by booking duration can help you balance utilization and revenue, rewarding longer commitments with discounts.
Solution: With duration-based pricing rules, you can set discounts for multi-hour or full-day bookings to encourage longer commitments.
Duration price rules coming soon...
Price optimization cycle
The price rules in Growth Hub are designed with one goal in mind: to help you boost your revenue.
You can make data-driven pricing decisions following these 3 repeating steps: diagnose, act, and learn. By following this loop, you can respond to demand patterns, optimize rates, and measure results over time.
1. Diagnose: Analyze occupancy
Start by analyzing your occupancy trends. Use the Booking Patterns Dashboard in Data Hub to review historical bookings, lead times, and utilization. This will highlight high-demand and low-demand periods, helping you identify when to increase or decrease prices. It also helps you estimate price elasticity so you can adjust confidently.
2. Act: Optimize pricing
Once you understand the demand, apply price rules in Growth Hub to optimize your rates. Focus on your most dynamic inventory, such as meeting rooms, event spaces, and hot desks. Create resource price rules →
You can:
Apply day-of-week rules, such as weekday premiums (Tuesday–Thursday +10%) and weekend discounts (Friday–Monday −15%).
Configure time-of-day adjustments for hourly premiums or discounts.
Use Duration rules to incentivize longer bookings (for example, 4 hours = −10%, 8 hours = −20%).
Combine Global and Individual rules to apply changes across all resources or tailor them to specific ones.
3. Learn: Measure results
After implementing changes, measure their impact. Use the Booking Patterns Dashboard in Data Hub to compare metrics such as RevPAR (revenue per available room), occupancy, and override rate against a control group. Use these insights to refine your strategy and feed the results back into step 1 for the next cycle.
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