We’re thrilled to announce that we have partnered with Turbosuite!
Who is Turbosuite?
Turbosuite is the next generation of revenue management, using big data analytics, artificial intelligence and an expert revenue management team to maximize profitability.
What does Turbosuite offer?
The features available are:
Dynamic Pricing Tool
We calculate smart prices using city data, demand elasticity, season, occupancy, gap days, and cost analysis. Bulk editing functionality
Booking Analyser
It analyzes customer behavior by calculating ADR (Average Daily Rate), Revenue, Room Nights, and the number of bookings.”
Smart Forecast
Turbosuite automatically calculates next year’s revenue forecast, taking into account historical data and city-wide projections for precise planning.
Aspirational Compset
With Turbosuite you can select a list of competitors with similar characteristics. This, directly in the chosen sales channel, so you can compare yourself with your competitors. We analyze both competitors’ average daily prices and peak demand.
Why people choose Turbosuite?
- Automatic Pricing
- Expert revenue manager to set up strategies per channel
- Only RMS that considers hotels as competitors
- Only RMS that sets a pricing strategy that increase visibility in OTAs
- The new way of leading pricing and distribution strategies
How do I integrate with Turbosuite?
To connect your Tokeet account to Turbosuite, simply follow the steps in this set up guide.
Welcome to Tokeet’s Podcast — your trusted source for insights, trends, and strategies shaping the vacation rental industry. Each episode features expert interviews, data-driven analysis, and practical tips to help property managers grow their businesses, improve guest experiences, and stay ahead in a rapidly evolving market. Whether you’re new to short-term rentals or managing a large portfolio, tune in to stay informed and inspired.
A high Airbnb occupancy rate can look healthy while hiding underpriced nights, heavy turnover, or weak margins. A low rate can point to pricing, but it can also expose listing friction, stay restrictions, weak visibility, or poor conversion.
In this episode, we break down how to calculate occupancy correctly and why broad averages are often a weak benchmark. We also look at booking pace, comparable local listings, and the difference between a demand problem and a pricing problem.
The goal is not to chase one percentage. It is to use occupancy as a signal for the next decision.
Key Takeaways:
✅ Calculate occupancy from booked nights and available nights
✅ Compare similar listings in the same market and season
✅ High occupancy can signal underpricing
✅ Low occupancy does not always mean rates are too high
✅ Change one variable at a time and review the result
Related Links:
Company: https://www.tokeet.com/
Blogs: https://www.tokeet.com/blog/
Blog: Airbnb Occupancy Rate: Benchmarks That Actually Help 👉https://blog.tokeet.com/airbnb-occupancy-rate/
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcast.tokeet.com
