Hotel owners and lodging REITs

Hotel data analytics: know which markets moved, and why.

SquareShift builds hotel data analytics for hotel owners and lodging REITs. It ranks which markets changed and which holdings are exposed.

Plan a proof of concept

The gap

Connecting market signals to portfolio decisions

Demand, rate, booking pace, new supply, airlift, events, renovations, labor, and local drivers sit in different feeds. Generic dashboards show movement. They do not explain which assets are exposed or what the investment team should review next.

01
Demand shifts show up late.

Pace, events, airlift, and search move before the review.
02
Comp set changes hide the real story.

Rate and share only matter against the right comp set.
03
New supply and renovations change the thesis.

Openings, closures, and disruptions sit outside the packet.
04
Local drivers are hard to connect.

Events, weather, labor, and macro signals sit apart from results.
05
Executives need rank, not raw feeds.

Leaders need the markets and assets that changed enough to review.

Which markets changed enough this week to affect our portfolio view?

Ranks material demand moves. Ranked market review package for executives.

Where did ADR, RevPAR, booking pace, or channel mix move against comp set?

Compares rate, share, and channel moves. Revenue strategy review list.

Which properties are exposed to new supply, renovation disruption, or comp set change?

Finds assets exposed to supply changes. Portfolio exposure view with sources.

Which events, airlift, macro signals, weather, or local demand drivers explain the move?

Explains movement with local drivers. Driver summary ready for review.

Which assets need executive review because market position changed?

Shows assets that need executive review. Executive review queue.

How market intelligence works

Hotel industry data analytics for demand, rates and supply.

Market feeds, portfolio data, and review rules go in. Ranked market changes, exposed assets, driver evidence, alerts, and executive views come out inside your environment.

No upfront data overhaulStart with one market, one portfolio slice, or one market workflow.
Four-week planOne market workflow, live on approved feeds.
Yours through the build and beyondYou own it, run it, and extend it.
Your data, your environmentNothing leaves. Your access rules apply.

Market and portfolio data

STR/CoStar-like market data
OTA and rate-shop feeds
CRS/PMS and booking pace
Events and convention calendars
Flight and airlift trends
Macro and local demand drivers

Signal layer

Comp set and market mapping
ADR, occupancy, RevPAR, and pace features
New supply, renovation, and closure tracking
Seasonality, weather, event, and macro overlays
SquareShiftBusiness context engineeringMakes market signals make sense to AI

Ranking agents

Demand movement
Rate and share movement
Supply and renovation exposure
Local demand drivers
Portfolio positioning

Runs on approved feeds

Executive workspace

Ranked review list

Markets, assets, drivers, evidence, and route.

Portfolio action

Controls on every layer

Runs inside your environment
Approved feeds only
Your comp set and market rules
Every alert traced to source
Executives see rank and reason

Start with one market question. Extend the pattern from there.

See the four-week plan

Four-week plan

Start with one workflow on your data.

We build the workflow in your environment. Your team tests it against approved market feeds, property data, and review rules.

Explore SquareShift case studies.

Map your proof of concept

Four-week plan

What you bring

Market question
Markets and comp sets
Feeds and review rules
Environment access
Review team time

What SquareShift delivers

Signal workflow
Documented feeds and rules
Ranked review package
Environment controls
Team read-out

Week 1Confirm scope and source feeds.

Week 2Build signals and checks.

Week 3Rank movement with evidence.

Week 4Test and decide next.

Hotel comp set analysis compares a property's rate and share against its comp set.

In this workflow, market feeds, portfolio data, and review rules go in. Ranked market changes, exposed assets, driver evidence, and alerts come out, inside the owner's environment.

SquareShift builds AI agents that watch demand, rate, supply, and portfolio signals as they move. Executives see rank and reason. The team still decides.

It uses market data, OTA and rate-shop feeds, booking pace from the property systems, events and convention calendars, flight and airlift trends, and macro and local demand drivers.