We set up integrated tracking, connect dynamic pricing, and manually adjust rates twice a week. You and your team apply the listing updates with our step by step guidance.
Julian Rosenberg is a professional short-term rental operator who manages his own Airbnb in the Byron Bay Hinterland Region. While his portfolio is focused on a single property, a well-designed, rustic-inspired property on an acre of land, his approach used to be guesswork or by feelings, and through education, system and process is now data-driven, process-oriented, and aligned with how larger operators and property managers think about performance.
We engaged Scott to help us optimise our Airbnb listing and pricing, and the impact was immediate. Although we only host a single property, we wanted to approach it professionally, and Scott was invaluable in guiding us through that process.
He helped refine how our listing was positioned, improved our pricing strategy, and gave us clarity around what actually drives bookings. Since working with Scott, our income has more than doubled, and our most recent bookings have genuinely blown our minds in terms of what guests are willing to pay.
His approach is practical, data-driven, and focused on real results, not just theory. Scott has been a trusted partner throughout our Airbnb journey and played a key role in maximising the performance of our property with confidence. To anyone considering Scott's services, i'd be more than happy to walk you through my experiences.-Julian RosenBurg
Julian came to us with a clear objective: he wanted to scale the revenue of this specific property without outsourcing control, while ensuring pricing and performance decisions were grounded in data rather than assumptions.
At the time, the property was generating approximately $55,000 per year.
This case study demonstrates how a structured, repeatable revenue management system can be applied effectively — whether to a single high-performing property or across a broader portfolio.
Julian’s property was well-presented, well-reviewed, and located in a strong short-term rental market. Despite this, revenue was not aligning with demand or comparable performance benchmarks in the area.
Like many professional operators, the challenge wasn’t effort — it was structure. Pricing decisions were reactive, seasonality was not fully leveraged, and there was no consistent framework for measuring whether the property was performing as it should.
Julian wanted clarity around what “good” actually looked like and a system that could be relied on long term.
Rather than focusing on hosting tasks, we implemented a revenue management framework designed to be scalable and repeatable across one or many listings.
The framework focuses on:
demand-based pricing rather than static averages
combining dynamic pricing tools with manual oversight
understanding seasonality and event-driven demand
listing optimisation to improve booking conversion
clear performance benchmarks to track results objectively
This structure is intentionally suited to both individual operators and property managers managing multiple properties, allowing consistent decision-making regardless of portfolio size.
Once the framework was applied, revenue increased beyond the original baseline and booking patterns became more consistent.
More importantly, Julian developed a clear understanding of:
how pricing should move in response to demand
what realistic revenue benchmarks looked like
how to identify underperformance early
This knowledge became a critical part of the process and allowed decisions to be assessed objectively rather than emotionally.
After performance had already improved, Julian was approached by a local property manager who suggested they could generate higher revenue by leveraging their broader portfolio and local presence.
Julian decided to test the approach.
Within two months, it became clear that performance was not aligning with the benchmarks he had learned to monitor. Julian later joked that he came back “on his hands and knees.”
The key takeaway was not the switch itself, but the fact that the revenue management framework had given him the ability to clearly assess performance. Expectations were measurable, and gaps were visible.
Julian returned with a strong understanding of what effective revenue management should look like.
With continued use of the revenue management system:
annual revenue increased from approximately $55,000 to over $100,000
the property is now tracking between $120,000 and $140,000 per year
the listing ranks within the top 1% on Airbnb
it holds Guest Favourite status
The same framework continues to guide pricing and performance decision
Julian’s results are not tied to portfolio size, location alone, or outsourcing decisions. They are the outcome of applying a structured revenue management system consistently.
For individual operators, the framework provides clarity, control, and confidence.
For property managers and portfolio operators, it provides consistency, scalability, and measurable benchmarks across multiple listings.
The benefit is not who operates the property — it’s how revenue decisions are made.
Owning a home is a keystone of wealth… both financial affluence and emotional security.
Suze Orman