The Insights Page presents your booking trends and other insights. This provides information at a glance and covers topics like occupancy, booking source, lead time and length of stay.
Navigate to the Insights Page
- Select 'Insights' from the Main Menu
Your Insights Page will display your Booking Trends & Insights.
Review past information or future insights
Your Insights Page comes with a date range. This allows you to custom select past or future dates.
As the dates are selected, the information provided will automatically update.
You can view booking information up to a maximum of 2 years in the future or past.
For the selected dates, you'll be provided with these dynamic graphs of information:
- Occupancy percentage
- Booking source
- Lead time
- Length of stay
Things to keep in mind about the information
The information is calculated using the total stay dates for all bookings that fall within the selected date range.
If the arrival or departure date of a booking falls within the selected date range, all the nights for that booking will be included in the calculation.
The graph specifics
Each dynamic graph updates according to the date range you've selected.
Tracking and reviewing your occupancy rates helps monitor operational performance and guide your business strategy.
This information can be useful:
- as an indication of demand - low demand may be a good indicator to offer specials or promotions to improve on seasonal lows.
- with revenue forecasting - knowing your average occupancy helps you predict your income more accurately.
- with meeting operational needs - knowing ahead of time allows you to manage your staffing, cleaning and supplies better.
- with identifying your seasons - you'll clearly see spikes in demand around holidays or local events
Hovering over a data point (a dot) on the graph will display the specific date and occupancy percentage
The Booking source information tells you exactly where your bookings are coming from.
From this information you'll learn:
- Which platforms bring the most bookings - You can identify top performers. The channels displayed will be:
- Manual
- Own Website
- Booking.com
- Lekkesleep
- TravelIT
- Expedia
- Airbnb
- Other
- Campaign performance - If you run social media ads or email promotions, tracking source helps you see if those efforts are converting into real bookings.
- Direct Booking Growth Potential
The list of booking sources can be filtered.
Simply click on a booking source to remove if from the display.
Percentages are rounded up to the next whole number. So adding them up might result in a number that's more than 100%.
Your lead time is the number of days between when a booking is made and the guest’s arrival date. It provides a look into guest behaviour, marketing timing and your pricing strategy.
From the lead time information, you'll be able to identify:
- Booking habits - Are your guests last-minute travelers or planners who book months ahead?
- Stay type - Short lead times often mean weekend getaways or business trips, while long lead times might mean holidays or special events.
- Opportunities for Early-bird discount windows - You can identify when to launch early booking promotions to lock in future revenue.
- Opportunities for Last-minute deal effectiveness - If you get lots of late bookings, you can plan targeted last-minute discounts rather than lowering rates too early.
- Opportunities for Dynamic pricing - Knowing typical booking windows helps you raise prices as availability shrinks closer to the date.
Hovering over a data point (a column) on the graph will display the specific date and occupancy percentage.
Length of stay reveals many things, including who your guests are and why they’re visiting.
This information will provide a look into the potential:
- Stay purpose - Short stays often indicate business or weekend visitors; longer ones usually mean leisure or family holidays.
- Travel trends - See if guests are staying longer during school holidays, long weekends, or special events.
- Market segments - Identify which channels or guest profiles bring short vs long stays.
The information can be used to:
- Revenue per stay vs. per night - Longer stays might bring slightly lower nightly rates but higher total revenue and fewer turnovers.
- Discount structures - You can create weekly or long-stay discounts to fill slower periods.
- Minimum-stay rules - Identify the ideal minimum-stay policy that maximizes occupancy and reduces gaps between bookings.
Hovering over a data point (a column) on the graph will display the specific date and occupancy percentage.