Financial Analytics

The Revenue tab of the Reports page shows how your portfolio is performing: revenue trends, occupancy, and the figures behind them. Use it to make pricing and operational decisions. For a tour of the whole page, see the Reporting Guide.

Revenue Reports

Revenue Overview

The Revenue tab shows:

• Revenue Summary: total revenue, total bookings, total nights, average booking, and ADR for the selected period.
• Revenue by Property: each property's revenue, bookings, nights, average booking, and ADR.
• Monthly Trend: a bar chart of revenue by month.
• Revenue by Source: revenue and bookings for each booking source (Direct, Airbnb, Booking.com, VRBO, and so on).

Revenue is the booking total of each booking that arrives in the period, with confirmed, checked-in, and checked-out bookings counted. Cancelled bookings are left out.

The Detail Behind the Totals

For a line-by-line breakdown, click Export on the Revenue tab. The .xlsx workbook has one row per booking with its money breakdown, a ledger of payments, and the totals.

To see money received instead of stays, set Date basis to Payment dates. The revenue figure then becomes Cash Received for the period. See Stay Dates vs. Payment Dates.

Occupancy Analysis

Occupancy Rate

Occupancy = Nights sold in the period / Nights available for sale × 100%

Nights available for sale are the period's nights minus blocked nights, so an owner stay or maintenance block doesn't drag the rate down. With All Properties selected, the rate covers your active, directly booked properties. Pick a property in the Property filter to see its own rate.

Average Daily Rate (ADR)

ADR = Total revenue / Total nights

ADR shows the average amount earned per booked night. Track it alongside occupancy. High occupancy with a low ADR may mean you're underpricing.

Revenue Per Available Night (RevPAN)

RevPAN = Total revenue / Total available nights

RevPAN combines pricing and occupancy in one number. A property earning $300 a night at 70% occupancy has a RevPAN of $210. Argonautas doesn't show RevPAN as its own figure. You can work it out from ADR and occupancy (ADR × occupancy).

Year-Over-Year Comparisons

To compare a period with the same dates last year:

1. Choose the period with the period buttons or From and To.
2. Tick vs. same period last year.
3. Read the percentage change under each summary gauge, in the Revenue Summary, and in the Revenue by Property table.

Tick vs. previous period as well to compare with the period just before. Use these comparisons to:

• Check the effect of pricing changes.
• Measure the impact of new marketing or channel strategies.
• Set realistic targets for the coming year.

Forecasts

Switch the period mode to Future to look ahead. The gauges show Forecast Revenue, Confirmed Bookings, and Projected Occ., and a Payment Timeline shows the balances still to collect, by check-in month. See Past vs. Future Mode.

Dashboard Figures

The main dashboard shows quick occupancy figures, 30-Day Occupancy and 7-Day Occupancy, together with today's check-ins and check-outs and other counts. It doesn't show revenue. Click an occupancy tile to open the Calendar. See Dashboard Overview.

Exporting Data

1. Open Reports.
2. Set the property and dates.
3. Open the tab you want and click Export.

The Revenue tab exports an .xlsx workbook. The Operations and Coverage tabs export a CSV. To share a formatted report, click Print and save it as a PDF from your browser.

Common Questions

How far back does historical data go? Reports include all data from the time your account was created. Use Custom dates to go back as far as you need.

Are cancelled bookings included in revenue calculations? No. Only confirmed, checked-in, and checked-out bookings count. In Future mode pending bookings are counted too. With Payment dates as the date basis, money received on any booking counts, including refunds on a cancelled one.

Can I schedule automated reports? No. Export or print reports when you need them.

Related

• Performance KPIs: key metrics reference.
• Reporting Guide: the full Reports page.
• Seasonal Pricing Strategy: using data to optimize pricing.