STR Property Optimizer-Revenue and Booking Optimization

Example

After uploading a rental calendar screenshot, the tool provides insights into booking patterns, highlighting peak and off-peak seasons.

Scenario

A property owner notices fluctuations in bookings but can't pinpoint the exact months of high or low demand. By analyzing the uploaded calendar data, STR Property Optimizer identifies these trends, enabling the owner to adjust pricing or availability accordingly.

Example

Calculates the profitability offset by considering consumables, cleaning fees, laundry expenses, wear and tear, and minor breakage costs.

Scenario

To determine the minimum booking price that maintains profitability, a property owner inputs their turnover costs. The optimizer calculates the impact of these costs on overall revenue, aiding in setting competitive yet profitable pricing.

Example

Provides tailored weekly and monthly discount suggestions based on booking data and turnover cost analysis.

Scenario

During the offseason, a property has historically remained unbooked for extended periods. The optimizer suggests a specific discount rate for these times, calculated to attract more bookings while still ensuring profitability.

Example

Analyzes booking patterns to recommend strategies for minimizing unbooked days, incorporating discounting tactics and turnover cost considerations.

Scenario

A property owner struggles with sporadic bookings leading to many unbooked days. The optimizer recommends adjustments in pricing and promotions to enhance occupancy rates without sacrificing revenue.