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Your business runs on peaks and troughs: event weekends, shoulder seasons, new flights, changing neighborhoods
Most plans are still built on:
Factori adds the outside‑in view your systems don’t have, so you can:
Build curves that reflect local traffic, events, and market trends—not just seasonality.
Adjust rate and restrictions by sub‑market conditions, not just high‑level segments.
Align labor and services with real arrival and activity patterns around each property.
Decide where to open, renovate, or exit based on local demand, competition, and economics.
Aim spend and offers at markets and corridors where interest and spend are actually rising.
You bring bookings, PMS, RMS, and channel data. Factori brings the real‑world layer.
All datasets are aggregated, privacy‑safe, and designed to be easy to understand and connect to your locations.

How people move around your properties, districts, and destinations; how that changes by day and season.

Clean details on nearby restaurants, attractions, venues, retail, and services that drive stay value.

Sports, concerts, conventions, festivals, school breaks, and holidays that move demand.

Where spending in key categories (e.g., dining, leisure, shopping) is rising or falling by market.
Why did this property outperform others in the same brand this quarter?
Which markets are building demand for our segment, beyond what we see in bookings today?
Where should we prioritize renovations or new flags based on neighborhood and demand trends?
How should we staff and price around major local events and recurring calendars?
Which feeder markets and districts deserve more marketing and distribution focus?
who need error down and trust up.
Looking for clean, reliable visit data to plug into models and dashboards.
Looking for clean, reliable visit data to plug into models and dashboards.
Looking for clean, reliable visit data to plug into models and dashboards.
Looking for clean, reliable visit data to plug into models and dashboards.
Looking for clean, reliable visit data to plug into models and dashboards.
For example: improve demand planning for a cluster, support a pricing / revenue project, or evaluate new development markets.
Common starting point for travel & hospitality: Mobility + Events + Market + People, then layer in Retail Sales, Economic, and Places as needed.
Compare how you plan and evaluate properties today vs. how decisions look with real‑world data, and decide where to scale next.
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