Realytics for franchise systems

Every unit on one basis — and where the promise breaks.

An analyst that scores every unit in your system on the same consumer-experience basis — each one read against its own trade area — so you see which units lead, which are quietly slipping, and whether the brand promise lands the same in unit 400 as in unit 4. Ask in plain language; get it back as a chart, a report, or a board-ready deck.

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Ask in plain language. Get a real answer back.

Every question your franchise-operations lead, your development team or your board would ask about the system — answered from consumer signal, on one comparable basis, in the format you need.

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The same answer, in the format the moment needs — a chart in chat for a quick call, a written report for the franchise review, a board-ready deck for Monday.

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

The franchisor’s blind spot

Royalty reports tell you what each unit billed. We read what every unit’s customers actually experience.

The decisions that run a system — where to step in, what to fix, where to award the next unit — turn on the consumer experience at each door, on one comparable basis. Your internal view samples it, argues over it, and a system-wide average quietly hides where it’s breaking.

The current way

Sampled, internal, and argued.

Royalty reports show what each unit billed. A mystery-shopper round samples a handful of visits. The advisory council tells you who complained loudest. None of it puts every unit on the same external consumer basis — so “my market is different” is unanswerable, and the next site is a radius on a map.

Realytics

Every unit, one basis, its own market.

Every unit scored on what its own customers say in public, read against the rivals in its own trade area — so the strong, the slipping and the at-risk sit side by side, the comparison is fair, and the brand promise is visible where it’s kept and where it isn’t.

The spread the average hides

A healthy system mean can sit on top of a bottom decile quietly churning the customers in its trade area. For a franchise, the variance is the product — so read the whole spread across units, not the headline number.

The fair comparison

Read each unit against its own trade area, not the system average — so a unit beating a hard market isn’t punished, a coaster in an easy one is caught, and “my market is different” gets an answer instead of a shrug.

The early warning

A unit that loses the customers in its trade area shows in consumer signal about two quarters before the royalty report catches it — with the dimension that’s slipping named, so the fix list is right before the P&L moves.

What you can ask

One analyst. Every job in the system.

Pick the job in front of you. The same consumer signal around your units answers all of them — from the slipping unit to the brand promise to the next site to the renewal conversation.

Run the system

Which units are slipping, is the comparison fair, and is it the operator or the market?

Operator or market

Rank every unit, separate the operator from the trade area

Every unit scored on consumer experience and its trend, read against its own trade area — so you act on the units that are genuinely weak, not the ones sitting in a hard market.

At-risk, early

See the unit slipping before the royalty report does

Surface the units quietly losing the customers in their trade area — with the dimension that’s slipping named — about two quarters before it reaches the P&L.

The full distribution

Read the spread, not just the system mean

The percentile spread of consumer experience across all your units — who leads, who sits in the tail — so the healthy headline number stops hiding the units that need you.

Hold the promise

Is the brand promise being delivered the same in every unit — and where does it wobble?

Consistency, measured

See how uniformly the experience lands across units

How tightly or widely your system runs unit to unit on the consumer experience, set against comparable systems — the consistency a franchise is built to sell, read on one external basis.

Where it wobbles

Find the aspects that vary most from unit to unit

Which parts of the experience are delivered the same everywhere and which swing by unit — so brand-standards effort lands where the variance actually is, not where it’s assumed to be.

The bottom decile

Read the weakest units and what’s dragging them

The units at the bottom of the system and the aspects their customers raise most — the difference between a coaching fix and a deeper one. An observed read of the customer's verdict, unit by unit.

Grow the system

Where does the next unit go — and does it grow the system or split it?

Whitespace on demand

Rank trade areas by real consumer demand, not a radius

Markets with demand and no unit yet — within and beyond existing territories — ranked on real consumer activity, so development chases demand rather than a circle on a map.

Score before you award

Read a candidate territory before it’s committed

A candidate site’s trade area read on consumer demand and the local competitive set — so a territory is awarded on evidence, and a prospective operator starts from a fair read.

Cannibalisation

Pressure-test a new unit before you sign

How much a new unit would cross-shop one you already run, from shared consumer activity — so the next opening adds trade instead of moving it across the street.

Recruit & renew

Recruit where a market is ready, and give your operators an honest, external read.

Recruit where it’s ready

Target the markets and operators primed to grow

The territories whose consumer demand is ready and the operator profiles that fit them — so recruitment goes where the demand already is, not where the map looks open.

Honest at renewal

Give a strong franchisee the external read they’ve earned

Every franchisee on the same fair basis, read against their own trade area — so your best operators feel seen at renewal, and a hard conversation rests on evidence both sides trust.

For the prospective franchisee

An independent read on the territory you’re offered

An outside read on the trade area’s consumer demand and how units like it are experienced — to sit alongside the FDD and your accountant, never instead of them.

Read the system, find where it breaks

The same read, across three very different systems.

Three real Realytics reads, anonymized — a QSR franchise, a grocery estate, a national service network. Different industries, different findings — each one corrected an assumption the system had been running on.

QSR · a global franchise system vs five peers · consumer opinions, 2021–2025

The value brand has the field's worst value score — and it's halved in four years.

6-System Field, One Basis Strength Is the Floor Value Halved Since 2021

A board asked the obvious question: as the biggest QSR system, where exactly is our floor — and is it just a few weak units? We read it against five peer franchises on one positive-opinion basis, a sentiment-balance proxy built from public consumer opinions. The instinct inverted twice. The floor isn't a random dimension — it's value perception, the very thing a value brand sells. On the identical basis, this system's value positive-share is the lowest of all six. And it has nearly halved over the price-hike era, falling from roughly 31% to 17% in four years while the brand leaned harder into a value message. The strength didn't just trail the field. It eroded into the floor.

The finding

The instinct

Scale breeds inconsistency — audit the weak units, chase the mean

The board read scale as the risk: more units, wider spread, more outliers to hunt. Fix the bottom decile and the brand-standards problem is solved.

The signal

The floor isn't a weak unit — it's the dimension you market as your strength

Across five rival franchise systems on the same consumer-opinion basis, this system scores dead last on value and price perception — not speed, not cleanliness. The gap on value is the widest of any dimension relative to peers. And it has been opening every year since 2021, through every price-hike cycle, as the brand pushed harder on the value message.

By the numbers

−14 pts

value positive-share, 2021→2025 — the brand's own promise dimension, halved

16.6%

value positive-share today — field floor

Last

of 6 systems on value perception

7.3 pts

gap to the nearest peer (23.9%)

The franchise lesson

The floor is never random. It sits on the dimension where the brand made a promise it stopped keeping.

Grocery · a leading banner · ~1,170 stores

The capital looks broken. Nineteen of its stores say it isn't.

12-Point Capital Drag A 76-Point Store Spread Operator, Not Territory

We read a national grocery estate store by store. It's the country's highest-rated banner — and in the capital the average falls twelve points. That is the number that gets a whole metro written off as structurally hard. But read the stores individually and the verdict flips: capital stores run from 13 to 89 on the same basis, nearly a third match or beat the national average, and the ones dragging the metro down sit in catchments as good as or richer than the ones at the top. The capital isn't a hard territory. It's a coaching list.

The finding

The instinct — territory

Write the metro off

National satisfaction is 72.7. The capital lands at 60.8 — a twelve-point drop. The natural read: this market is structurally harder, so accept lower support investment and point development elsewhere.

The signal — operator

Nineteen stores at or above 70

Across 66 capital stores with reliable volume, consumer-opinion scores span 13 to 89. Nineteen score at or above 70; twelve match or beat the national average of 72.7. The weak stores — around nine to fifteen below 45 — sit in catchments with equal or richer purchasing power than the top performers. The trade area does not explain the gap. The operator does.

By the numbers

76pt

store-to-store spread inside the capital — the average misleads

−12pt

capital vs national average — the gap that writes off a metro

of 66 capital stores at or above the national average

~9–15

stores dragging the metro — the coaching list

The franchise lesson

A metro average is a field-support budget, not a verdict. Name the stores, not the market.

Service network · a national system · 1,676 local units

The variance isn't in your regions — it's in the moment the human leaves.

The Human Seam Field-Wide Floor Capital Inverts

We put every unit of a 1,676-location national service network on one consumer basis and went looking for the weak regions and weak operators. We found neither. The variance ran along a seam nobody maps: where a person is in the loop, 97% of consumer opinions on in-person expertise are positive — and that holds across every unit and every rival. The instant the human is removed — the self-serve machine, the fee, the cost moment — the same brand falls to 13% positive, sector-wide. Even the geography flips: the capital everyone treats as the hard market reads 84.8% positive against 78.5% in the countryside.

The finding

Strong where a person is involved

The human edge

Where a person is in the loop, the brand is delivered near-identically well everywhere — 97% of consumer opinions on in-person expert advice are positive. That holds field-wide too: rivals sit at 96.8%. This isn't a brand advantage to grow; it's a category floor already delivered. Coaching your operators on service won't move this number.

Broken where none is

The no-human moment

The fee, the machine, the cost moment: 13% positive — and the whole sector floors with it (rivals: 10%). That floor has been stable for three straight years while consumers raise it more often. This is a system-design failure, not a unit-coaching problem. The franchisor controls the fix centrally.

By the numbers

97%

in-person expert advice — field-wide, held three years

13%

self-serve/fee moment — the instant the human leaves

+6.3 pts

capital ahead of countryside — the "hard market" leads

63 pts

p10-to-p90 unit spread — driven by channel mix, not operators

The franchise lesson

Your field teams are pointed at regions. Your coaching budget is pointed at operators. The seam that breaks the brand isn't on either map — it's the moment the human steps out of the experience. And the 63-point unit spread tells you exactly where that moment concentrates: your bottom-decile units aren't your weakest operators, they're your units where the self-serve and fee interactions make up more of what consumers experience and voice. The fix is the same everywhere, and the franchisor owns it centrally.

The data behind every answer

Every unit, every rival, every trade area.

One current view of the market around your system — consumer traffic, consumer opinions and price perception — matched onto every business, refreshed weekly, and benchmarked on one comparable basis.

288M

locations mapped — your units, and every rival in their trade areas.

11.5B+

consumer signals across commerce

630K+

branded businesses, systems resolved unit by unit

3,313

categories — QSR to fitness to services

252

countries & territories

Weeklyrefreshed, since 2020

One basisevery unit comparable, each read against its own trade area

Every industrywhatever your system sells, from cafés to clinics to gyms

Public business information and aggregated, anonymous consumer signal — never personal data, GDPR and CCPA compliant, with role-based access and an audit trail on every answer. See the data coverage →

Pick your plan

Your on-demand analyst.

Realytics for operators — every location, every market, one clear read. Answers in about 60 seconds what a consultant answers in a quarter.

Essential

For growing operators. 11–50 locations.

⁦HTG 17,123 ($126)⁩/seat·mo

75,000 credits / mo

Cross-industry data, no limits
Consumer traffic + consumer opinions on every block
Refreshed weekly — ask anytime
Reports & decks, on-brand

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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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Credits
Monthly credits (per seat)	75,000	150,000	300,000	Custom
Brand locations	50	250	Unlimited	Unlimited
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
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Ask Realytics your hardest question about the system.

A 30-minute working session on your real units, your trade areas and your candidate sites — the operator or the market, where the promise holds and where it breaks — and the answer back as a chart, a report and a board-ready deck.

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