We’re excited to announce our new partnership with MovingLake!
Who is MovingLake?
MovingLake is the #1 real-time API connector company, providing data centralization and custom data analytics focused on the short-term rentals industry.
What does MovingLake offer?
Some benefits are:
- Data centralization from over 80+ different APIs into 12 different supported destinations
- Robust and resilient data engineering to make dashboarding easy
- Custom dashboarding for any popular BI tool
- Easy to follow setup guide to get your connectors up and running
- Push your data from a single platform to all of your downstream services, dependencies and data repositories
- Natively thought of to support event-driven environments
- Only pay for the data you use
Why people choose MovingLake?
Understanding accurately your company’s main KPIs such as occupancy, ANR and RevPar can be challenging for bigger companies. Especially ones with different asset types.
Normally these businesses benefit from MovingLake’s help to centralize data and accurately understand the company’s main KPIs.
How do I integrate with MovingLake?
To connect your Tokeet account to MovingLake, 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


