Derisk you retail site decision and investment with accurate predictions

Factori helps you see the full picture around every potential site—who’s there, what’s nearby, how people move, and how the local market is performing—so you can make fewer risky bets and more confident “yes” decisions.

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Why site teams bring real-world data

Most site decisions still rely on a mix of internal reports, one‑off studies, and gut feel.

Factori gives you a consistent external view for every site you evaluate:

Clearer view of true demand potential

Better understanding of competition and co‑tenants

Fewer surprises after opening

A common, data‑driven language across real estate, ops, and finance

How leading enterprise data 
teams use real-world data

QSR & restaurants

Combine mobility, events, people, and competition to find drive‑thru and walk‑up locations that match your format.

Retail & grocery

Use retail sales, people, economic, and property data to find trade areas that can support your store model and basket targets.

C‑stores & fuel

Evaluate corridor traffic, nearby formats, and local demand before investing in new sites or rebuilds.

CPG & wholesale

Prioritize banners and markets by business mix, retail spend, and neighborhood fit.

Real estate & landlords

Build stronger leasing stories with objective data on demand, tenants, and neighborhood trajectory.

The questions you can finally
answer with confidence

Is this location in a high‑traffic, high‑fit area or just a busy corner?

Who actually lives, works, and shops in the trade area?

Are we cannibalizing an existing site or tapping into new demand?

Is the market growing, stable, or softening?

Are we surrounded by the right mix of businesses, anchors, and formats?

The datasets behind better site decisions

You don’t need another abstract score. You need simple, concrete signals you can put in front of your committee.

You choose the mix; we make them easy to line up side‑by‑side for every option.

Mobility

Mobility

How people move through the physical world—visits and patterns around stores, venues, and neighborhoods.

Places

Places

Clean, consistent details about stores, restaurants, venues, points of interest, and their surroundings.

Business

Business

Business density and composition by area: categories, formats, and competitive mix around your locations.

People

People

Privacy‑safe consumer graph covering demographics, income bands, lifestyle and interest indicators.

Retail Sales

Retail

Retail sales indicators by market and category to show where spend is rising or softening.

Property

Property

Context on parcels and neighborhoods: land use, property types, and housing stress indicators.

What changes when you add real‑world data

Fewer “looks good on paper” sites that underperform once opened

More confidence to say no to marginal locations

Less debate in site meetings, more focus on trade‑offs

A repeatable process you can run for every market, not just flagship projects

Made for retail leaders

Real estate and network strategy teams

How teams typically get started

Define a test group of sites

A mix of recent opens, stable performers, and candidates you’re considering.

Pull Factori data for each trade area

Mobility, Places, Business, People, Economic, and anything else that’s relevant for your format.

Compare winners, misses, and new candidates

See which patterns show up repeatedly—and which sites don’t look so strong under the same lens.

Turn the findings into a playbook

Align on a short list of signals that must be checked for every new site decision going forward.