Hotel data platform

Signals is Cloudbeds’ unified data and AI architecture, the intelligence layer that runs underneath the entire platform. It’s the reason reservations, revenue, channels, payments, guest, and marketing data all live in one data model instead of being stitched together after the fact. That single foundation, built on one data model across the hospitality industry’s most connected platform, is what powers reliable forecasting, guest intelligence, reporting, and every other “smart” feature across the platform.

No. It’s always there as the architecture underneath the platform, not something a customer buys, adds on, or turns on.

Signals draws from every corner of the platform: reservations and booking data, guest data and profiles, direct bookings and direct revenue alongside channel manager and OTA performance, payments, and day-to-day operational activity. Because Cloudbeds is a unified platform beyond a property management system, rather than a stack of connected point solutions, that hotel data already lives in the same environment instead of four disconnected exports. This is what makes hotel data management simpler and feeds tools like Guest Experience, Revenue Intelligence, and hotel marketing products like Digital Marketing and Reputation Management.

Yes. Signals shows up most directly for revenue teams. Cloudbeds RMS uses the unified data underneath Signals to build dynamic pricing strategies and demand forecasts from time-to-arrival, length of stay, channel behavior, competitor rates, and market demand, analyzed together instead of reconciled after the fact. That data analytics foundation drives a documented 8.4% revenue uplift and forecast accuracy of up to 95% for established properties. You can accept a pricing recommendation, edit it, or let automation run it within limits you set. The result: pricing strategies grounded in what’s actually happening in hotel operations, and measurable movement in occupancy rates, RevPAR, and ADR — with less manual pulling of reports and more operational efficiency for revenue managers and GMs.

Yes. For management companies and hotel groups running multiple properties, Signals means every property speaks the same data language — the same guest data model, the same booking data structure, the same reporting logic — so portfolio-wide visibility and group benchmarking are immediate instead of something a BI team has to reconcile by hand. Group revenue directors and operations leaders can compare occupancy rates, RevPAR, and ADR across the whole portfolio from one source of truth, rather than waiting on manual data management across each property’s individual system.

Yes. The same governed data model that powers Signals internally is exposed through APIs, so the other hotel software you’re running — a channel manager, a point-of-sale (POS) system, a CRM, or any other piece of your tech stack — can connect to the same live, shared data instead of a stale nightly export. Access is governed under one permission model, from single property to full portfolio, so management companies can extend Signals’ hotel data management without losing control over who sees what.

Yes. A lot of what other hospitality software has to integrate — reservations, channel manager data, point-of-sale (POS) transactions, guest data — already lives in one place inside Cloudbeds by default, since Signals is built on Cloudbeds’ own property management system. For the tools you’re keeping outside Cloudbeds, that same governed data is available through APIs, so the rest of your tech stack connects to current hotel data instead of an export from last night.

Guest data inside Signals is governed by the same permission model across the platform — access scoped from single property to full portfolio, so hotel groups and management companies control who sees what. Cloudbeds is built to support GDPR compliance for properties operating in or serving guests from the EU, and Signals doesn’t change that: it’s the same guest records, held to the same data protection standards, just no longer duplicated across four disconnected systems. Specific GDPR obligations vary by market and use case, so confirm details with your compliance team.

Yes. Signals is the data foundation that makes AI agents useful rather than generic. Cloudbeds’ Guest Experience Agent, for example, works from the single guest record inside Signals — bookings, channel, chat threads, digital check-in, preferences, staff notes — to turn a plain-language instruction into an automated workflow. Ask Signals, coming soon, extends that same idea to answering questions directly. The common thread: AI agents are only as good as the hotel data management underneath them, and that’s the architecture Signals provides.