Airbnb utan jobbet
1. The purpose of this page
På sidan On the page “Professional hosting generates higher revenue”, we present three typical effects of letting a professional operator manage your Airbnb rental: visar vi tre typiska effekter av att låta en professionell aktör sköta uthyrningen via Airbnb:
These figures are not a promise for your specific property, but illustrative ranges based on industry data on how professional hosts and Superhosts perform compared to the average, and how dynamic pricing affects price, occupancy and total revenue.
The purpose of this page is to show which sources we rely on and how we have reasoned when selecting these ranges.
2. Sources we rely on
We primarily base our assumptions on three types of sources:
2.1 Airbnb – data on Superhosts
Airbnb continuously publishes data on how different types of hosts perform. In a review of over one million Superhosts, Airbnb describes that Superhosts on average achieve significantly higher revenue, faster response times and fewer cancellations than other hosts.
Examples of sources:
In summary, these reviews show that the quality of hosting has a substantial impact on revenue, and that Superhosts clearly outperform the average.
2.2 Market data from AirDNA and Transparent
AirDNA and Transparent collect booking data from millions of short-term rentals globally. They show, among other things, average daily rate (ADR), occupancy and revenue per property in different areas — and how professionally managed properties perform compared to private hosts.
Examples of sources:
Across these reports, a clear pattern emerges: top-performing, professionally managed properties achieve higher than average results both in price per night and occupancy.
2.3 Studies on dynamic pricing
For short-term rentals, pricing plays a major role. Several academic articles and industry reports show that data-driven, dynamic pricing often results in a clear percentage increase in revenue compared to static or infrequently updated prices.
Examples of sources:
Overall, more active and data-driven pricing tends to increase both occupancy and total revenue.
3. How we determine our ranges
Below we explain how we have reasoned around the three ranges used in our communication.
3.1 10–15% higher price per night
Professional listings with high-quality photos, better descriptions, clear information and active price optimisation often perform 10–30% above the area’s average nightly rate in several studies.
We choose the range 10–15% as a conservative midpoint, as we prefer to underestimate rather than overstate the effect.
3.2 10–25% more booked nights
Fast response times, clear communication, strong reviews and dynamic pricing help fill the calendar more effectively. For properties that are currently rented out more sporadically, we estimate that 10–25% higher occupancy is a reasonable and cautious assumption when the rental is managed more professionally.
3.3 Up to 30% higher total revenue
When both the price per night and the number of booked nights increase, the effect multiplies.
A simplified illustration:
Therefore, we use up to 30% higher total revenue as a conservative benchmark when price, occupancy and guest experience are optimised simultaneously.
4. Important limitations
The result for your specific property always depends on location, standard, seasonality, rental period length and applicable regulations (e.g. maximum number of rental days).
When we assess your property, we always base it on address, area, size, standard, possible rental period and comparable listings — and prepare an individual calculation..
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