Realytics for real estate & REITs

Tell a healthy trade area from one that just looks busy.

Footfall counts who walked past. Realytics reads what consumers actually think of every tenant on the block — Cameroon included — so an acquisitions or asset team can tell a catchment that's gaining from one quietly losing its tenants' customers. Trade-area momentum, co-tenancy strength and tenant health, from consumer signal — demand-side evidence, underneath the valuation.

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Ask Realytics

Ask about a target in plain language. Get a real read back.

The questions an acquisitions director, an asset manager or a leasing lead asks about a parade, a centre or a portfolio — answered from consumer signal, with the basis shown, as a chart, a written report or a board-ready deck.

Ask about a deal or a portfolio

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The same read, in the format the moment needs — a chart in chat for the call with the broker, a written report for the IC paper, a board-ready deck for the investment committee.

A Chart, In Chat A Written Report A Board-Ready Deck

The blind spot

Footfall counts bodies. The rent roll sees the past. Neither reads whether the block is healthy.

A trade area is the neighbourhood a location actually draws its customers from — its catchment. Two catchments can post the same footfall while one is quietly losing its tenants' customers. You find out at the break clause, not before.

Footfall, the rent roll & the broker's deck

How many walked by, and who's already gone.

Footfall counts traffic past a door. The rent roll shows voids once they've happened. The broker's deck is built to sell the asset. None of them reads what consumers think of the tenants — or whether the catchment is gaining or fading.

Realytics

Whether the block is actually healthy.

Every tenant on the block read on consumer opinion and momentum, the catchment scored on whether it's gaining or fading, and the use-classes that churn fast flagged — so a busy parade and a dying one stop looking the same.

Busy isn't healthy

A thriving parade and a fading one can post the same footfall count. The difference is what consumers think of the tenants — and which way that's trending.

The rent roll is a rear-view mirror

By the time a void shows up in the rent roll, the consumers left months ago. Realytics reads the fade while it's still a fade, not a vacancy.

The broker's deck is sell-side

It's built to sell the asset, not to stress-test the catchment. This is the independent demand-side read you bring to the IC.

Solutions by role

Start with the job in front of you.

Pick your role — see the one question you're answering right now, and how Realytics answers it from consumer signal.

Your job right now

“Is this asset's trade area really healthy, or does it just look busy?”

The consumer vitality of a target and its catchment, before you bid — and when you've no use-class preference, every cluster surveyed first, not F&B by default.

Trade-area vitalityWhich catchments are gaining or losing momentum with consumers, and the direction they're trending.
Tenant-health early-warningWhich tenants on the block are quietly losing their customers, before the rent roll shows it.
Format & use-class frictionWhich tenant types churn fast and re-let hard versus which sit steady.

Diligence an asset →

Your job right now

“Is my mix right — and where's the risk?”

Tenant mix and trade-area momentum across the portfolio, in one consumer-health view the IC will trust.

Portfolio riskA consumer-health read across the whole portfolio, in one view — which centres are fading first.
Co-tenancy strengthCo-tenancy is the other shops and venues in the same centre; this reads which tenant types co-occur with a lift and which sit alongside a drag.
Tenant-health early-warningSpot a tenant losing its customers before it shows up in the rent.

See your portfolio →

Your job right now

“How do I win this renewal or new lease?”

The demand and tenant-pull evidence to negotiate from data, not anecdote.

Lease-renewal leverageWalk into renewals with the consumer evidence on your side when a tenant claims footfall is soft.
Trade-area vitalityProof of where consumer demand is heading in the catchment.
Co-tenancy strengthWhich neighbouring tenants pull customers toward (or away from) the centre — who you most want to keep and attract.

Win the lease →

Proof

Two real acquisition screens — and the same counter-intuitive answer.

London and Greater Manchester, screened the same way — and both land on the same truth: the type of tenant predicts the vacancy more than the street does.

A private CRE acquisition team

The safest freehold on the parade isn't the busy café — it's the dull office above it.

Restaurant 19.9% · Accountant 1.7% F&B +1.55% vs −1.50% Where The Rule Inverts

A private CRE acquisition team was screening a London freehold and asked one question — of the units in budget, which is the safest place to put the money? The instinct says the trophy café or restaurant parade: you can see the queue. Read by tenant type, the consumer-traffic and tenant-formation signal pointed the other way — and then added a twist the category rule alone misses.

The intuition vs the signal

The intuition

Commercial property means retail and F&B. A busy café parade is the safe buy — you can see the queue.

What the consumer signal showed

Read by tenant type, F&B premises re-let three to four times faster than professional, medical and personal-care units — and the worst F&B formats nearer ten. The steadier, lower-churn tenants are the unglamorous ones: the dental clinic, the accountant, the barber. They also carry the lightest fit-out on each change.

Vacancy risk runs with tenant type

Restaurant · F&B~19.9% / yr

Café · F&B~14.5%

Coffee shop · F&B~11.8%

Clothing store · retail~6.5%

Nail salon · personal care~3.4%

Hairdresser · personal care~3.4%

Dental clinic · medical~2.6%

Barber · personal care~2.5%

Accountant · professional office~1.7%

True annual re-letting frequency by tenant type — Greater London, latest 12-month window, measured as closures against the active base. A restaurant re-lets roughly twelve times as often as an accountant and eight times as often as a dental clinic — the demand-side risk a yield or a footfall count can't see.

And the catchment can flip it

~12×

F&B re-lets ~12× more often than the office above it

~19.9%

London restaurant annual re-letting — highest of any tenant type

~1.7%

accountant re-letting rate — lowest on the parade

~3 pts

F&B net formation spread across London boroughs

The tenant-type rule still holds inside any borough — but whether the use-class is filling or emptying is set by the catchment, not the category. And where it fills, consumer experience quality runs higher too. Realytics reads both; your advisers overlay the rents, yields and valuation.

A private acquisition team · a Greater Manchester high street

In Greater Manchester, the busiest use-class on the high street is the one quietly emptying.

Busiest Use-Class, Net-Negative Below The Metro Average Confirmed In A Second City

A private acquisition team screened a Greater Manchester high street the way a buyer would: of the units in budget, which is the safest place to put the money? The instinct points to the pub-and-restaurant parade — you can see the queue. But the pub draws more consumer traffic than any other use-class in the metro, closed more units than it opened last year, and sits below the Greater Manchester average for consumer satisfaction. The busiest part of the parade is the part that is thinning — and running below the city's own bar. The same shape repeats in a second English city.

All three axes point the same way: footfall rank, net formation, and consumer satisfaction

Pub · F&B · #1 by footfall−0.7% net · 67,302 visits · satisfaction 96 vs metro avg

Bar · F&B−1.1% net · 30,628 visits · satisfaction 98 vs metro avg

Café · F&B−1.3% net · 27,751 visits · satisfaction 95 vs metro avg

Indian restaurant · F&B−2.5% net · 24,302 visits · satisfaction 97 vs metro avg

Barber shop · personal care · net +1.8%24,282 visits · satisfaction 109 vs metro avg

Beauty salon · personal care · net +2.2%13,070 visits · satisfaction 108 vs metro avg

Skin care clinic · personal care · net +4.1%5,106 visits · satisfaction 113 vs metro avg

Net formation (openings minus closures over active stock), consumer footfall, and satisfaction index — Greater Manchester, 2024Q3–2025Q2. Satisfaction is indexed to the Greater Manchester metro average across all active use-classes (= 100); above 100 = better than the city average, below 100 = below it. Bar heights are sorted by footfall. The highest-traffic use-classes are all net-shrinking and below the metro satisfaction bar; the fastest-forming sit well above it.

The intuition vs the signal

The instinct

The queue tells you where the market is

The pub and restaurant parade draws the most consumer traffic. That footfall is real — the pub alone logs 67,302 visits, the highest of any use-class in the metro. Visibility and footfall feel like safety.

The signal

The busiest unit is net-closing and running below the city's own average.

Sixty-one pubs closed against 26 opened last year — net −35 even at peak footfall. And the consumer satisfaction read for pubs (index 96), bars (98), and cafés (95) all land below the Greater Manchester average across all use-classes. The units forming fastest — skin care clinics at net +4.1%, barber shops at +1.8% — score 109–113 on the same scale. Three axes run the same way: footfall rank, net formation, and satisfaction all invert together. The queue is not the canary. The quiet unit, running above the city's bar, is.

The lesson

On a Greater Manchester high street, footfall rank, net formation, and consumer satisfaction all invert together — the most-walked use-class is net-closing and runs below the metro average for satisfaction; the fastest-forming ones are nearly invisible on footfall yet sit 9–13 points above it. The same pattern held in a second English city, so it reads as structural. The queue is not the signal. The data behind the quiet door is.

What Realytics reads that footfall can't

Five reads on a trade area, all from consumer signal.

Counts of who walked by, on their own, miss the layer that decides vacancy. Realytics distinguishes active units from openings and closures over time — it reads tenant formation and consumer opinion, not just traffic.

How healthy the catchment is

Trade-area vitality

Whether a catchment is gaining or losing momentum with consumers over time, and the direction it is trending: rising, stable, declining or volatile. Trade area = the neighbourhood a location actually draws its customers from.

Co-tenancy strength

Which tenant types co-occur with a lift to a centre and which sit alongside a drag; which neighbours pull customers toward, or away from, one another. Co-tenancy = the other shops and venues on the same block or centre.

Tenant-health early-warning

A tenant whose consumer signal is fading, spotted before it shows up in the rent roll or at a break clause.

What fits, and what churns

Look-alike trade areas

Catchments that resemble one that already works for you, for site selection and expansion. A descriptive match on the observed past.

Format & use-class friction

Which tenant types churn fast and re-let hard versus which sit steady — the F&B-versus-services contrast, scored from the data.

In the UK, the model covers roughly 5.3 million estimated locations, refreshed weekly — the consumer-signal base behind every trade-area read.

The data behind every read

Every location, every tenant, every catchment.

One current view of the consumer signal around a target or a portfolio — consumer traffic, consumer opinions and tenant formation — matched onto every business, refreshed weekly, benchmarked against peer trade areas.

288M

locations mapped — every unit and its neighbours on the block.

11.5B+

consumer signals across commerce

630K+

brands matched to their units

3,313

categories — every use-class, F&B to clinics

252

countries & territories

Weeklyrefreshed, since 2020

Demand-sideconsumer vitality & tenant health, underneath the valuation

Every use-classF&B, retail, services, medical, office

Trade-area reads run on an H3 hexagon catchment proxy at borough grain, and describe the observed past. Public business information and aggregated, anonymous consumer signal — never personal data. See the data coverage →

Where we stop, on purpose

We hand you the demand-side truth. Your advisers price the asset.

The discipline is the point. We stay strictly on the consumer-vitality side of the line — which is exactly why the read holds up in the room.

What Realytics gives you

The demand-side read

Trade-area vitality, tenant health, co-tenancy strength and use-class friction — read from consumer signal, before the rent roll catches up. Independent of the sell-side. The evidence you brief your advisers and your IC with.

What your advisers still own

The price, yield & the legals

Rent, yield, valuation and the lease legals stay with your valuers and lawyers. We don't quote a price, a rent or a yield — we don't impute per-unit spend outside F&B, and a catchment's affluence read is demographic-implied and directional.

Enterprise plans

Priced per seat. Powered by credits.

Every plan includes a monthly pool of analysis credits — spend them on questions, reports and multi-market comparisons, and add more as you go.

Professional

⁦FCFA 129,098 ($221)⁩/mo

100,000 credits / mo

1 market
Cross-industry data, no limits
Up to 2 years of history
Data to last month
Reports & decks, on-brand

Get started

Scale

⁦FCFA 260,533 ($446)⁩/mo

200,000 credits / mo

Everything in Professional
Up to 5 markets
Up to 4 years of history
Data to last week
Onboarding & training

Get started

Premier

⁦FCFA 654,838 ($1,121)⁩/mo

500,000 credits / mo

Everything in Scale
Up to 15 markets
6 years of history
Connect via MCP & API
Priority support & success manager

Get started

Local prices follow Stripe’s daily exchange rate — the same rate checkout uses. Where supported, you pay in your local currency; the USD price is shown for reference.

Enterprise

Custom scale, for teams of 10+.

Everything in Premier, plus global coverage, transactional data, team-pooled credits, custom data scopes and volume credit pricing — with the procurement, security and MSA support large rollouts need.

Annual Commitment Required Transactional Data Team-Pooled Credits Global, Unlimited Markets Hands-On Onboarding And Rollout

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Compare enterprise plans

Compare plans	Professional⁦FCFA 129,098 ($221)⁩ /mo	Most popularScale⁦FCFA 260,533 ($446)⁩ /mo	Premier⁦FCFA 654,838 ($1,121)⁩ /mo	EnterpriseLet's talk
Credits
Monthly credits (per seat)	100,000	From 200,000	From 500,000	Custom
Team-pooled credits	—	—	—	✓
Seats	Per seat	Per seat	Per seat	10+ users
Markets & data
Markets covered	1 market	Up to 5	Up to 15	Global, unlimited
Compare global markets	—	—	—	✓
Cross-industry data, no limits	✓	✓	✓	✓
Data recency	Up to last month	Up to last week	Up to last week	Up to last week
History depth	2 years	4 years	6 years	6 years
Transactional data	—	—	—	✓
Platform & support
Reports & decks (on-brand)	✓	✓	✓	✓
Connect via MCP	—	—	✓	✓
Training to onboard your team	Self-serve	Guided	Guided	Hands-on
Priority support	—	—	✓	✓
Dedicated success manager	—	—	✓	✓
Commercial
Billing	Monthly	Monthly	Monthly	Annual commitment
	Get started	Get started	Get started	Book a demo

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See your trade areas in Realytics.

A 30-minute working session on a target or a portfolio of yours — your centres, your tenants and your trade areas, with the consumer signal behind each one. Demand-side evidence, underneath the valuation.

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