Occupancy, revenue per seat, conversion and churn, built on the same records as your billing and your seat board. No exports, no reconciliation, and one definition of occupancy that everyone uses.
It takes three days, it is out of date the moment it is sent, and half the meeting is spent arguing about whether the occupancy number counts notice periods. Nobody trusts it enough to make a pricing decision on it.
Occupied means reserved plus notice. Soft holds count as vacant. That rule is applied once in the platform rather than argued about per report, so the board pack and the floor manager see the same figure.No more two versions of the truth
See what each square foot actually earns, which plans carry the site and which discounts have quietly become the standard rate. Broken down by centre, floor and seat type rather than by one blended average.Price on evidence, not on instinct
Enquiries, tours, proposals, agreements and moves, with the drop off between each and the time it took. Every count is clickable through to the leads behind it, so a bad number is investigated rather than accepted.Find the stage that is losing deals
Notices given, terms expiring and the seats they release, on a forward calendar rather than a rear view mirror. Renewal risk shows up as a list of accounts to call, not as a number at the end of the quarter.Renewal conversations start earlier
A semantic layer over the operational data with the metrics already defined, so your team assembles the report they want from the fields they recognise. No SQL and no export cycle.New reports in minutes
Schedule a view to an inbox, share a dashboard with a landlord or an investor, or give a corporate customer a read only view of their own usage. Financial figures stay behind permissions.Fewer report requests to your team
The numbers come from the same records that run billing and seating, so there is no pipeline to build and nothing to keep in sync.
Revenue and margin sit behind a permission. A centre manager can see their occupancy without seeing the portfolio P&L.
A number on a chart opens the exact rows behind it, which is how you tell a real trend from a data entry mistake.
Most analytics projects fail on the join. When seats, invoices and leads already share a database, there is nothing to join.
Seat level occupancy by day, including the forward view of what notice releases next quarter.
Invoiced, collected and outstanding, per entity and per customer, in the customer currency.
Source, stage, conversion and time to close, with every count clickable to the deals underneath.
Seats sold against seats actually used, which is the number behind every layout decision.
No. Analytics is part of the platform and reads the same records that run seating, billing and leads. If your finance team prefers their own BI tool, the data can be exported, but nothing here depends on it.
Occupied is reserved seats plus seats under notice. Soft holds count as vacant until they convert. That definition is applied consistently across every screen and report, which is the point.
Yes. Every view can be run per centre or across the portfolio, so you can see which site is carrying the group and which one is quietly under performing.
Yes. A corporate account can be given a read only dashboard of their own usage, attendance and bookings, which is usually what they were emailing your team for anyway.
Yes. Any saved view can be scheduled to an inbox on the cadence you choose, with the same permission rules applied to the recipient.
Give us one centre and a month of data and we will show you your real revenue per seat before you decide anything.