The analytics page gives you a bird's-eye view of your business' performance throughout time. Analytics is accessible on the analytics tab from the main navigation of the Guesty Dashboard.
In this article, you will learn about -
- Data range types
- Analytics view
- Pie charts
- Inactive listings
- Consistency with Custom Reports (Smart Views)
- Common questions
Date range types:
- 1W: last 7 days + today
- 1M - last 30 days + today
- 1Y - last 165 days + today
- MTD - month-to-date - 1st of the current month up to today
- QTD - quarter-to-date - 1st of the month of the start of the current calendar quarter, up to today. For example, if today is 02/14/18, then the range will be 01/01/18 - 02/14/18.
- YTD - year-to-date - from January 1st of this year, up to today
- ALL - from the first reservation you made through Guesty, up to today
Of course, you can set custom date ranges, using the date picker on the top left-hand side of the screen.
* All date selections are calculated by night. For example, if my date range is 01/15/18 - 01/16/18, then it calculates all of the reservations on the night of the 15th and the night of the 16th.
- Revenue - overall trends for key metrics throughout the account within the selected date range
- Revenue by properties - a closer look at the key metrics for each listing separately
- Revenue: total revenue (host payout) from reservations within the selected date range.
- Commission: your commission, as you set it up in the system settings page, or the listing settings page. If you haven't set it up, it uses "net income" as a default. You can read about rev share here.
- Occupancy: the number of booked nights, divided by the number of available nights, when available nights are any nights that are not blocked in the calendar.
- Avg. nightly rate: the sum of all nightly payouts, divided by the number of booked nights.
- Rev pal (revenue per available listing): rev pal is a metric that helps you calculate the overall efficiency of your business, by taking into account both the revenue per night and the occupancy rate and combining them into one metric. It is calculated as avg. nightly rate times the occupancy.
Example: if the avg. nightly rate is $200, and the occupancy is 90%, then the rev pal will be $180.
Below the aggregated metric values, you will see a trend graph for the 2 main metrics - revenue (blue) and commission (purple). The axis of the graph change automatically to best match your search (a yearly search will be shown month-by-month, while a weekly search will be shown day-by-day)
Other than trends for revenue and occupancy, the revenue analytics page shows two pie chart breakdowns:
- Revenue by channel:
this will show your revenue by reservation channel (Airbnb, Booking.com), etc..
- Revenue by source:
This will show how your revenue breaks down - which part is due to accommodation fare, cleaning fee, taxes, etc..
Note that one or both graphs might not appear, if there is no data to show.
Deactivating all features for a listing removes its data from the analytics page.
In order to keep seeing data for these listings, you should unlist them (from the marketing tab of the listing), but keep them active.
Consistency with Custom Reports (Smart Views) in the Reservation reports tab
The reservations Custom Reports, unlike the analytics page, calculates revenue in a different way - by payout, and not by check-in. This actually makes a lot of sense, since the reports give a detailed account of the reservations in a given period, while the analytics is design to give an overview of your business performance.
Because the analytics data is calculated by night, while the custom reports are calculated by total payout, in some cases it might show different data than shown in the reservations reports.
For instance, if you create a report of all reservations with check-in in 2017, you will get 2 types of discrepancies:
- reservations with check-in in 2016 but check-out in 2017 will NOT be seen in the reports, but will show in analytics.
- Reservations with check-in in 2017 and check-out in 2018 will show the entire payout (including for the days in 2018) in the reports, but will only show partial revenue in the analytics.
As mentioned, this is the correct way to view reports and analytics, each for its own particular use case.
- Booking.com appears twice in the "revenue by channel" pie chart: The channel chart uses all available channels, from both automated and manual reservations. In automated reservations from Booking.com, the channel is marked as "Booking.com". If you used manual reservation and wrote as a source "booking.com" (lowercase B), for example, the chart will display it as a different source.
- Reservations from before you joined Guesty:
With old reservations from before you joined Guesty, you might see the reservations themselves in the calendar and in reports, but these reservations are currently not calculated for analytics.
- Rev share seems incorrect:
The commission formula affects analytics only for reservation after the formula was first set / changed. For that reason, say you had a 20% commission set, and you then changed it to 25%, the change will only apply to reservations made after that change. This is in order to prevent undesired changes of your financial data. If you'd like to change the commission calculation retroactively, contact email@example.com.