Compare the performance of units grouped by bedrooms to assess how different unit bedroom counts impact key metrics and revenue generation.
Compare the performance of units grouped by sleep count to evaluate the influence of varying sleep capacities on key metrics and revenue generation.
Compare the performance of units grouped by area to assess how units in different areas impact key metrics and revenue generation.
Compare the performance of units grouped by unit type to assess how units in different unit types impact key metrics and revenue generation.
Compare the performance of units grouped by location to assess how units in different locations impact key metrics and revenue generation.
Compare the performance of units grouped by marketing source to assess how units booked from different marketing source impact key metrics and revenue generation.
Pacing Detail provides revenue-related KPIs for your company for a specific arrival period, offering insights into revenue trends and performance within your property management portfolio.
PM Leaderboard Revenue provides revenue-related KPIs at the unit-level for a specific arrival period, offering insights into unit performance and trends.
PM Pacing Occupancy provides occupancy-related KPIs for your company for a specific arrival period, offering insights into occupancy trends and performance within your property management portfolio.
The Airbnb Supply Property Type Breakdown visualizes the distribution of different unit types (e.g., condos, townhouses, houses) within Airbnb listings, offering insights into the variety of accommodations available on the platform.
The Vrbo Supply Property Type Breakdown visualizes the distribution of different unit types (e.g., condos, townhouses, houses) within Vrbo listings, offering insights into the variety of accommodations available on the platform.
PM Feeder Markets (Arrival) presents KPIs related to the markets from which guests originate for a specific arrival date, offering insights into the geographic sources of guests managed by the property management system (PM) for that particular date.
The Guest Map displays a geographical visualization showcasing the origin locations of the majority of guests, offering insights into the primary regions from which guests originate.
The PM Booking Curve tracks the progression of bookings over time leading up to a specific arrival range, offering insights into the pattern and pace of reservations.
The Bookings By Date visualizes guest bookings and associated guest revenue within a specific booking window, regardless of arrival dates, providing insights into booking trends and revenue generation over time.
The Bookings By Date displays guest bookings and associated guest revenue within a specific booking window, regardless of arrival dates, providing insights into booking trends and revenue generation over time.
Unit Details List provides KPIs at the unit level, allowing for comparisons between individual units to assess their relative performance.
The Revenue Booked displays your KPIs based on bookings within the specified booking date range, irrespective of arrival dates, providing insights into revenue generation and booking trends.
The Guest Checkins by Booking Date displays your revenue and guest check-ins associated with an arrival range that was booked during a specified booking period, offering a detailed breakdown of arrivals and associated revenue within a specified timeframe.
The Guest Checkins by Booking Date displays your revenue and guest check-ins associated with an arrival range that was booked during a specified booking period, offering a detailed breakdown of arrivals and associated revenue within a specified timeframe.
A report showing the market's performance compared to the PM's (your) performance.
Bookings % Change
Each row in the Week over Week table provides insights into KPIs for a specific week, along with the change (delta) compared to the previous week, offering detailed analysis of weekly performance.
Each row in the Week over Week table provides insights into KPIs for a specific week, along with the change (delta) compared to the previous week, offering detailed analysis of weekly performance.
In the Year over Year analysis, each row displays week-over-week data, with the delta representing the performance comparison between the current year and historical data, providing insights into how performance trends this year stack up against previous years.