We are excited to announce our enhancement to our revenue management system with Skyscanner.
The integration of Skyscanner into our demand index analysis offers insights by combining data from three critical levels:
1. Hotel booking data
2. Competitor’s rate fluctuations
3. Market demand derived from flight searches and our market supply shopper
How it works
Hotllab interrogate two key metrics from Skyscanner, with more plans to include additional metrics in the future:
Flight Searches
This gives an idea into early general customer demand offering preliminary insights into traveller interest.
Flight Conversion Rates
Analysing periods when search-to-booking conversion rates are high helps identify early demand patterns.
These insights aid the decision making process for updating room prices at certain times throughout the year and when to make these updates ahead of the competition.
Success in Greece
Hotellab launched this integration in Greece at the beginning of the year, resulting in our demand forecasting algorithm reaching an impressive 95-96% accuracy over a longer booking window. Based on our success in Greece, we are thrilled to extend this integration to the markets in Bulgaria, Czech Republic and Georgia. Here, we will combine our extensive historical booking data with insights from Skyscanner to further enhance our predictive demand analysis.
Reach out to any of our team to find out more about our predictive demand data tools.
