Case Study · Accommodation
Most accommodation operators set prices based on instinct and check competitors occasionally. Here is what happens when you replace that with data, seasonal patterns, and a consolidated view of the whole business.
Running multiple accommodation properties is harder than it looks from the outside. Different locations, different booking channels, different seasonal patterns, and a constant stream of operational decisions to make. What often gets lost in all of that is a clear, consolidated view of how the whole portfolio is actually performing financially.
That was exactly the situation when I started working with this client. They operated several short-term accommodation properties across Australia, each generating its own revenue, with its own costs and its own booking behaviour. But there was no single place to look at the full picture. Revenue was tracked separately per property, costs were spread across different spreadsheets, and there was no consistent way to compare performance or spot where money was being left on the table.
Design and implement a consolidated reporting system that gave the owner a clear picture of the whole portfolio. Then build a dynamic pricing model to replace the manual, instinct-based approach. Finally, analyse the data together and identify specific actions to improve profitability.
The first thing we did was consolidate everything into one simple reporting dashboard. Nothing complicated, just a clean, consistent view of revenue, occupancy, average daily rate, and margin across all properties in one place. For the first time, the owner could open one document and understand exactly how the portfolio was performing, where the strong performers were, and which properties needed attention.
That single step changed how decisions were made almost immediately.
The second challenge was pricing. Like most small accommodation operators, pricing had been set manually, largely based on instinct and occasional checks of what competitors were charging. There was no systematic approach to seasonality, no response to local events and public holidays, and no automated way to adjust rates as demand shifted.
We built a dynamic pricing model that factored in seasonal demand patterns, local events, school holidays, and public holiday periods across each property's market. Rates adjusted automatically based on these inputs, pushing prices up during high-demand periods and staying competitive during quieter ones. The owner no longer had to think about pricing every week. The model did it for them.
Once the reporting was clean and the pricing was working, we sat down together and looked at the data properly for the first time. Some properties were consistently underperforming not because of location or product quality, but because of how they were being positioned and priced on certain channels. Others had strong occupancy but weak margin because costs had crept up without anyone noticing.
We identified a set of specific actions across channel mix, minimum stay policies, cost management, and rate positioning. None of them were dramatic. But together, combined with the improved pricing model, they moved the needle significantly.
The combined impact of smarter pricing and targeted operational improvements delivered a 25% increase to the bottom line. Not through a major overhaul or a big investment. Through clarity, structure, and a disciplined approach to the numbers.
This is exactly what I do through Ganalytics. A few focused hours a month to bring the kind of commercial thinking that larger hotel groups invest heavily in, to operators who don't have a revenue management team or a finance function sitting behind them.
If you manage accommodation properties and want a clearer picture of your performance and a smarter approach to pricing, let's talk.
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