Revenue Analytics

Revenue Analytics is the module a revenue manager will live in. It is designed around one question: how does today compare to what was expected, and what does that mean for the next twelve months of production?

The core dashboard shows RevPAR, ADR and occupancy for today, month-to-date and year-to-date, always compared against same-time-last-year and against the property's own forecast. Every KPI decomposes on click — RevPAR breaks into occupancy versus rate, occupancy breaks into pickup versus pace, and pickup breaks into segment mix.

The forward view runs twelve months ahead. Talkguest combines historic pickup curves with the current on-the-books position to produce a forecast that stops being wishful thinking. Sensitivity analysis lets a revenue manager ask what would happen if a specific segment underdelivers by fifteen percent, or if the OTA mix shifts toward a channel with a different average booking window.

Segmented pickup reports break the incoming reservation flow by source — each OTA, direct, corporate, wholesale, tour operator — by rate category and by cancellation policy. If a specific segment is drying up, the pattern shows here first, usually a week before it shows in the daily flash report.

Competitor benchmarks compare ADR and occupancy against an anonymous set of hotels of similar type, size and location. Data is contributed by Talk with Guest customers and aggregated so no individual property is ever identifiable, but the reference points are precise enough to spot pricing gaps that need attention.

Every chart exports to PDF for board packs and to CSV for the CFO's spreadsheet. The API also allows headless export into a BI tool for customers who already have a data warehouse, and the data model is documented in the same section as the rest of the platform API.