Booking pace
Booking pace describes how reservations accumulate before a stay date. Useful comparisons require equivalent lead times and comparable periods.
Evidence conceptRESOURCES
Practical revenue-intelligence concepts, without the jargon wall.
Short explanations for the decisions hotel operators actually need to make: how to interpret booking pace, confidence, data freshness, incomplete evidence and historical comparables.
Hotelnomy can evaluate relevant independent public market context alongside your property's own evidence where supported. How Market Context works
Observed, derived and unknown
Missing reservation rows do not automatically prove that a room was available and unsold. Reliable analysis keeps observed, reconstructed and unknown states distinct.
Data quality conceptConfidence matters
A recommendation should become more conservative when evidence is sparse, stale, partial or poorly observed. Sometimes the right output is a range or an explicit insufficient-data state.
Decision conceptFresh data changes decisions
A newer export can change relevant evidence. Hotelnomy keeps completed historical analyses unchanged and creates a new run when you want an updated decision.
Workflow conceptPREPARING YOUR HOTEL DATA
Bring the exports you already use.
Hotelnomy accepts CSV or Excel exports from the systems your property already uses. Your data may come from a PMS, channel manager, reservation system or booking channel. Examples can include Booking.com, Expedia or HotelRunner, depending on your property setup. These are examples of export sources, not direct Hotelnomy integrations.
Reservation date, stay or check-in/check-out dates, room type, rate or price, reservation status and availability or capacity are useful when your source provides them. Not every column is required.
Upload the CSV or Excel file as exported. Hotelnomy reviews the available structure and uses persisted Data Memory evidence where it exists before analysis. No direct integration is required.
Include the hotel operational fields needed for analysis. Do not upload unnecessary payment-card details or other sensitive payment information.
HOW HOTELNOMY THINKS
Reliable decisions start with explicit boundaries.
Live recommendations do not depend on competitor scraping or cross-customer private performance data.
Confidence, freshness, coverage and insufficient-data conditions are part of the result, not hidden implementation details.
Completed AnalysisRuns stay immutable so later uploads do not silently rewrite an old recommendation.
SEE THE WORKFLOW
From export to evidence-backed decision.
Explore the product flow or start with a 30-day free trial for your first Organization.