Services / Accommodation analytics
Analytics for hospitality
One platform for your occupancy and your prices, on your own data.
Your booking system tells you what has been booked. This platform shows how your season is doing, where marketing should push now and what your prices can be. I built it for an international player in hospitality with more than a hundred locations, and use the same approach for other companies in the sector.
Saturation alerts
Six weeks ahead, a colour code per week that shows where you're full and where marketing can still help. You see at a glance where last-minute effort pays off and where it no longer does.
Booking curve, lead time and revenue projection
How are you doing against last year, measured on the same booking date? The curve shows your pace, the projection translates it into an expected season revenue.
Customer value
What is a guest worth over multiple seasons? Returning guests can be worth a multiple of one-time bookers. That changes how you divide your marketing budget between attracting new guests and bringing existing ones back.
Price ladder
Your sold prices per week, set against past seasons. You see immediately where you sell too cheap too early and where there is room.
How this differs from your booking system or a standard revenue tool
Reports from your booking system show what is in that system. This platform combines your booking data with your marketing data and other sources, and is built on your situation. It also comes with someone who goes through the numbers with you every quarter and turns them into decisions.
How it works
I set up the platform based on your booking data, load the history and calibrate everything on your seasonal patterns. After that it runs continuously, with automatic data refresh and weekly and monthly reports in your house style. I handle management and security. A one-off setup cost plus a fixed monthly fee. Data processing agreed in mutual consultation.
Want to see how it works?
The demo dashboard is online with fictional data, built on the real structures of booking data.
Working in hospitality and curious what this shows on your data?
One conversation is enough to know whether it fits.
Get in touch