Know where every room-day goes. And where next month is heading.
Occupancy counted in room-days across nightly and monthly stays, a forecast built from real notices and bookings, income by building, your rents against the market and every step from first visit to reservation. No exports to stitch together: it’s the data your team already works in.
Analytics
Hikari Living · October 2026
Current month · today
93.4%
Room-days, this month
+2.1 pts vs Sep
Last 12 saved months
Next 3 months
Current month · list prices
Monthly rent
¥7.75M
Net income
¥3.44M
Vacancy loss
¥612k
Net income by owner
Current list prices · latest scrape
Our share-house avg (all-in)
¥66,000
+¥4,000 (+6.5%) vs market
Market avg (all-in)
¥62,000
Advertised units vs market
Last 30 days
Last 30 days
Top nationalities
Six areas, sixteen views
Start on one page. Open the area that needs you.
The Overview shows a block for each area; each block opens its own views. Filters live in the link, so a copied URL shows a colleague exactly what you see, and every panel states the time window it covers.
Occupancy
One honest rate: room-days, nightly and monthly together.
Every day of every unit counts once — a resident’s month, a guest’s three nights, a partner calendar’s block. Overlaps are merged, so nothing is counted twice, and the number on the dashboard home is the same one.
Now
Today’s occupied, month-to-month, reserved and available units — always adding up to the total — by type, management, owner and area.
Forecast
This month and the next three, from bookings and filed notices. The shaded band shows what happens if contracts ending soon don’t renew.
History
Each month is saved shortly after midnight on the 1st and never recalculated, building a timeline and a seasonal pattern.
October · 12 units · 372 room-days
Average by calendar month, all saved years
4 in the next 2 months · 2 not contacted
One click emails the resident a link to the move-out form, in their language.
Income
What each building earns you, at today’s list prices.
Net income is what you keep: the management fee on buildings you manage for owners, the full rent on your own and master-leased ones. It’s an estimate from list prices — collected income lives in the Rent Roll P&L.
Monthly rent
¥7,754,000
Net income
¥3,435,680
Vacancy loss
¥612,400
Potential rent at 100%
¥8,366,400
What-if
Drag target occupancy and watch rent, net income and vacancy loss move, building by building.
Pricing
Your rents, against your own portfolio and the market.
See average and median rent by type, the price per m² by area and every unit plotted by size. For share-house rooms, OmniPM compares your all-in rents with listings on public share-house sites, ward by ward.
Advertised and occupied units
The suggestion is the ward’s median for comparable private rooms. It never changes a price on its own.
Marketing
From a first visit to a reservation, step by step.
Website sessions appear when Google Analytics is connected.
Sources
Contacts per source with how many went on to pay, and what people answered to “How did you find us?”
Website and search
Sessions, users and channels from Google Analytics; clicks, impressions, CTR, position and top queries from Search Console, refreshed hourly.
Campaigns and blog
Campaign against non-campaign revenue by month, per-campaign reservations and discount given; blog posts by views, with search clicks when Search Console is connected.
Audience
Who books, who browses and what they couldn’t find.
Residents
Nationality, visa status and payment methods, for any period or all time.
Visitors
Site language across 13 languages, visitor countries, and what people search for — areas, layouts, price ranges, move-in dates.
Devices
Desktop, mobile and tablet with bots set aside: the funnel by device, what visitors click first and how far they scroll.
Searches with zero results · last 30 days
Export spreadsheet
Marketing and Audience download as one Excel workbook: a summary and a sheet per figure, each stating its window.
Websites built on OmniPMQuestions about analytics
How is occupancy calculated?
In room-days: occupied days ÷ (units × days in the month), across monthly residents, nightly guests and partner calendars, with overlapping stays merged. Only buildings you have on offer count.
Is the income figure what we actually collected?
No — it’s an estimate from list prices of occupied units, with your management fee applied to managed buildings. What you actually collected is in the Rent Roll P&L, month by month and per building.
Does OmniPM set our prices automatically?
No. Unit suggestions show the ward median for comparable share-house rooms next to your price, and you decide. Nothing changes a price on its own.
Where does the market data come from?
From listings on public share-house sites, gathered regularly and grouped by ward. It covers share-house rooms; apartments are compared within your own portfolio.
Do we need Google Analytics?
Only for the Website view and the sessions step of the funnel. Property views, inquiries, reservations, sources, search filters and devices come from OmniPM’s own tracking on a website built with OmniPM.
Can we export the numbers?
Marketing and Audience export to an Excel workbook with a sheet per figure. Rent Roll reports export to Excel too.
Stop rebuilding the occupancy sheet. It’s already counted.