Realytics for investors & private equity

A consumer read before you sign.

For the deal partner the week before IC, on a target you can't call: ask the question you can't put to management — and get the read the CIM won't show. An early, independent screen, from aggregated, anonymous consumer signal, on whether the customer is still showing up before the financials catch up. An early, directional read.

See plans See a sample read

Ahead of the financials

Financials are a lagging indicator. Consumer behaviour moves first.

An early, independent read on a target's health — and its whole sector — before the numbers catch up, and a map of where to point the expensive diligence.

Ask Realytics

Ask the question you can't put to management.

The questions you'd ask in the IC room — answered from public consumer signal, with the basis shown, in the format the moment needs.

Ask Realytics

Ask Realytics →

The same read, in the format the moment needs — a screen on the partner call, a one-page memo for IC, a fuller pack to point diligence.

A Screen, In Chat A One-Page IC Memo A Diligence Pack

The problem

The number you can't get from the numbers.

Same-store sales print quarterly — a rear-view mirror. A softening store base, a satisfaction slide, a younger cohort drifting to a challenger: it shows in consumer behaviour months before it reaches the P&L. By the time it reaches the financials, you've signed.

What the financials show

The story, after the fact.

Revenue holding, EBITDA clean, product demand intact — a rear-view read, curated by a seller whose job is to sell the asset, not to tell you where the customer is quietly leaving.

What the consumer signal shows early

The behaviour, ahead of it.

Whether the customer is still showing up, whether opinion is souring in the highest-volume channels, and which challengers are compounding off small bases — months before any of it reaches a quarterly print.

The seller's CIM & data room

Curated and conflicted

It's built to sell the asset, not to surface where the customer is quietly leaving or which sites are softening.

Commercial diligence (CDD)

Thorough, but slow and dear

Weeks long and six figures — too slow and too costly for a pre-IC health check, or for a name you may pass on.

Card-spend & alt-data panels

How much, not why

They tell you how much was spent, not why the customer is souring or which sites are softening. Panel-skewed, single-ticker, and priced like it.

The cost of missing it: you sign at the top, the turn shows up in year one, and the value-creation plan was built on a base that was already eroding.

What you can ask

One analyst, across the whole deal lifecycle.

From the first screen to the hold period, the same public consumer signal answers it — on the target, the sector, the competition, and the portfolio you already own. Every read names its limits.

Screen the target

Before you commit a team, is the customer still there — and where should the expensive diligence point?

Demand trajectory

Is the customer still showing up?

Consumer-traffic momentum by market and store format, trailing twelve months against the prior year, with coverage-inflated markets discounted. A footfall proxy for demand.

Brand-equity trajectory

Is opinion improving or souring?

The coverage-independent ratio of positive to negative consumer opinion, and the themes driving the negatives — read alongside demand, observed together.

Pre-diligence red-flag scan

What deserves a closer look?

A composite scan — satisfaction inflection, complaint surges, thinning footfall — against the target's operating peers. A triage that points diligence — directional, to aim the deeper work.

Read the sector

Is the whole field accelerating or cooling — and is this name riding a tailwind or a peak?

Sector momentum & index

Read the field, not one name

The whole category ranked into confidence-banded tiers — which sub-sectors and regions are accelerating, and which are quietly cooling, by observed consumer signal.

Category cycle phase

Where is the category in its cycle?

Whether a category reads as rising, plateauing or declining across the observed past — described from the trajectory itself, never projected forward.

Trend velocity

Which themes are moving fastest

How fast a consumer theme — premium, plant-based, value, convenience — is moving across categories. A read of the observed past.

Map the competition

Who is actually winning the customer — and are the target's own customers already shopping them?

Share-migration

Where the customer is moving

Which rivals are compounding faster, and whether the target's own customers are already cross-shopping them — read from observed cross-visitation.

Demographic franchise

Who's loyal, who's drifting

Generational and gender affinity versus challengers — separating lost reach from being out-satisfied by a faster-growing rival.

Channel-mix economics

Is the footfall the profitable kind?

Share of traffic in full-price versus off-price and promotional formats, and the purchasing power of the catchments around them. A footfall-mix read on profitability.

Monitor the portfolio

Between board meetings, what's quietly thinning in the companies you already own?

Unit-by-unit drift

Read the estate, not the average

The consumer health of every portfolio company, location by location — the drift a blended model hides until it reaches the numbers.

Red flags by site & theme

Catch the turn early

Declining satisfaction and rising complaints, by location and by theme — so a softening unit surfaces between meetings, not at the next print.

M&A overlap & fit

Match a bolt-on to your winners

Whether a bolt-on's units match the profile of your strong performers, and where two estates overlap. Comparable-archive and FDD overlays are in build.

Worked reads

The print is the last to know.

Three real Realytics reads, anonymized — a target screen, a portfolio monitor, a sector read. Different moments in the deal cycle, different lessons: an execution gap the catchment can't explain, a moat the scale metric won't show, and a country-risk discount that hides three sectors moving in opposite directions.

Restaurants · a global QSR leader · ~14,000 US units

In its biggest market, the rich catchments and the poor ones score the same — the gap is who runs the store.

Same Median, Rich Or Poor ~33pt Spread Within Each Band ~51% Of Gripes Are Fixable, ~3% Are Price

We put a screen-the-target question to Realytics: in this global leader's single biggest market — roughly 14,000 restaurants — is the soft consumer-opinion read a structural problem the next owner is stuck with, or a recoverable one they can fix? The answer is unusually clean. Sort the estate by the wealth of its catchment and the median barely moves: about 29.7% positive in the poorest neighbourhoods, 29.4% in the richest. Affluence of the street does not decide the score. What does is execution. Inside every catchment band, units run from roughly 15% to 48% positive — a ~33-point gap between otherwise-comparable restaurants. And it is the fixable kind: about half of all negative consumer opinion is people, service and order accuracy (staff courtesy is the single largest complaint), while price and value are only about 3%. That is a value-creation thesis you can underwrite. The bottom decile is not losing on its postcode.

The finding

The instinct

Poor catchments score worse — that is a structural discount

The obvious read on a soft consumer-opinion number in a large, geographically diverse estate: wealthier trade areas have better-run units and wealthier, more generous consumers. The spread is real but it is baked in. Hard to move.

The signal

The catchment explains almost none of the gap — execution explains most of it

Across roughly 13,500 US units with enough consumer signal to score, sort by neighbourhood purchasing power. The median positive-opinion share moves less than half a point — 29.7% in the bottom affluence quartile, 29.4% at the top. Yet the ~33-point p10–p90 spread persists inside every single affluence band. The catchment is not the variable. And the negatives are overwhelmingly controllable: about 51% is people, service and order accuracy; only about 3% is price or value.

By the numbers

~33 pts

execution gap within a catchment band — affluence explains almost none of it

<0.3 pts

median shift, poorest to richest catchment quartile

~51%

of negatives: people, service, order accuracy — fixable

~3%

of negatives are price or value

The lesson

The bottom decile is not losing on its postcode — it is losing on how the door is run. That is a gap a hands-on owner can close.

A national service network · portfolio-monitoring read

The biggest network in the country. A challenger one-twenty-second its size just passed it.

Overtaken In 5 Years 1/22nd The Branches The Moat Is Closing

We read an entire national service network the way an owner monitors a holding between board meetings — and the blended view says nothing is wrong: the largest network in its market, roughly twenty-two times the branches of its nearest experience rival, sitting in the top band of the field. The clock under the print says otherwise. On one positive-opinion basis a lean challenger ran fifty points behind in 2020, drew level in 2023, and now leads by about eleven — while the incumbent's own score has started to fall. The moat the CIM sells as scale is the thing the customer is quietly leaving, and there is a date on the crossover.

The finding

In aggregate — healthy

The headline looks fine

The largest network in its market — 1,676 branches, roughly twenty-two times the scale of its nearest experience rival. Scale looks like a moat. The blended view gives no reason to flag it.

In trajectory — overtaken

The challenger crossed over in 2023 and is pulling away

In 2020 the lean challenger ran 50 points behind the incumbent on a positive-opinion basis (22.9% vs 72.5%). By 2023 it had crossed (83.1% vs 81.0%). By 2025 it leads by roughly 11 points (87.6% vs 76.8%) — and the incumbent's score is now in absolute decline, its lowest reading since 2020. Scale didn't protect it. It is what the customer is leaving.

The signal under the print

~60pt

five-year swing — challenger from 50pt behind to 11pt ahead

2,023

year the challenger drew level and passed the incumbent

+11pt

challenger's consumer-opinion lead in 2025 (87.6% vs 76.8%)

76.8%

incumbent's 2025 positive-opinion share — lowest since 2020, still falling

The lesson

A blended view of a large network won't show you an overtake in progress. Read the trajectory, not just the score — the clock on a moat has a date on it, and this one already passed.

A single CEE market · sector divergence read · 2020–2025

One country-risk discount. Three sectors moving in completely different directions.

~16pt Sector Spread In 2 Years Quick-Service: All Three Signals Up Convenience Scaling Past Its Quality

Before you underwrite a name in an emerging market, you read the field it competes in — and the field tells you the flat country-risk discount everyone applies is a blunt instrument. We read a single CEE market's consumer-facing sectors and tracked three signals in parallel: whether consumers are showing up, whether they're satisfied, and whether the format is expanding. The whole market gets one discount. But across the sectors, not one of those three signals is telling the same story — and the difference between them is not detail. It's the difference between three separate investment theses.

The finding

Quick-service — all three signals aligned

Opinion, footfall and store count all bending up together

Consumer satisfaction bottomed in 2023 and has recovered to 63 (2026). The gap to the regional leader narrowed from -12.8 to -9.8 — the top gap-closer of every major consumer category tested. Footfall confirmed the direction: up ~3.1× since 2020. And the format expanded to match: active locations up ~2.7× over the same window. When opinion, traffic and footprint move together, the direction-of-travel is structural — not a rating-culture blip. A neighbouring CEE market ran this playbook to completion: the same category re-rated +15 points with footfall up ~4.3×.

Value retail — two different problems, not one

Supermarkets and clothing: both signals down. Convenience: footfall up, quality down.

In the same market, same window, supermarket consumer satisfaction fell -9 points and footfall fell too — peak visits in 2021 were more than double the 2025 level, now below where they started in 2020, even as the number of open locations grew 17%. Clothing followed the same pattern: satisfaction -7.8 points, footfall off its 2023 peak, stores expanding. Both are contracting categories wearing a growing footprint. Convenience is different: footfall roughly tripled and store count grew 63% — but satisfaction fell 9.5 points at the same time. That is not a declining format. That is a format scaling faster than it can hold its quality. Three different reads. One country-risk line.

By the numbers

~16pt

satisfaction-trajectory spread, best vs worst sector — same market, same two years

3.1×

quick-service footfall since 2020 — consumer opinions up too

2.9×

convenience footfall up, satisfaction down 9.5pt

−9pt

supermarket opinions fell, footfall below 2020 start

The lesson

A country gets one discount. The sectors inside it don't move together — and neither do the signals within each sector. Read opinion and footfall together, not separately, before you decide whether a category is arriving, contracting, or just stretching past what it can deliver.

Solutions by role

Start with the job in front of you.

Pick your seat — see the one question you're answering right now, and exactly how Realytics answers it.

Your job right now

“Is this asset as healthy as the deck says?”

A consumer read on the target and its sector, before you commit a team.

Pre-diligence health checkDemand and opinion trajectory on the target before you commit.
Where to point diligenceA red-flag triage that aims the expensive work.
Portfolio monitoringThe consumer health of every company you own, between board meetings.

Screen a target →

Your job right now

“What does consumer behaviour say about where this is heading?”

Momentum and exposure, ahead of the print.

Demand & opinion trajectoryWhether the customer is still showing up, and whether opinion is souring — by market and format.
Sector momentumThe whole field ranked into confidence-banded tiers — what's accelerating, what's cooling.
Share-migrationWhich challengers are compounding, and whether the name's customers already shop them.

Read a name →

Your job right now

“Which names in my coverage are quietly turning?”

Catch the inflection before the quarter does.

Red-flag scan across coverageSatisfaction inflection, complaint surges and thinning footfall, name by name.
What's behind the moveDeclining satisfaction and rising complaints, by location and theme.
Channel-mix driftThe shift from full-price to promotional footfall, before it reaches margin.

Scan my coverage →

Your job right now

“Where do I point the expensive work?”

A fast, defensible triage that survives your client's scrutiny.

Pre-CDD red-flag triageA composite scan against the target's operating peers — triage-grade, to aim the deeper work.
Defensible by designPublic, aggregated signal with the basis and the blind spots named on every read.
Aim the scopeWhere the consumer signal is weakest — so the paid workstream starts where it matters.

Run a triage →

Your job right now

“Is the multiple supported by the trajectory?”

Pressure-test the story against what consumers are actually doing.

Trajectory vs the comp setDemand and equity trend against the real competitive cohort — not a peer list you guessed.
Full-price or promotionalWhether the growth is the profitable kind, or footfall drifting to discount.
Where the category sitsThe category's cycle phase across the observed past — described, never projected forward.

Pressure-test a multiple →

The data behind every read

The whole field, not one ticker.

One current view of the consumer across every market and category — traffic, opinions and price perception — matched onto every business, refreshed weekly, and benchmarked.

288M

locations mapped — the target, and every rival on its field.

11.5B+

consumer signals across commerce

3,313

categories — every consumer-facing industry

252

countries & territories

Weeklyrefreshed, with history since 2020

Trajectorytrailing-twelve-month momentum, against the prior year

Every industryretail, hospitality, services, branches

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 →

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

⁦€371 ($417)⁩/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

⁦€750 ($842)⁩/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

⁦€1,885 ($2,117)⁩/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

Let's talk

Book a demo

Compare plans

Compare enterprise plans

Compare plans	Professional⁦€371 ($417)⁩ /mo	Most popularScale⁦€750 ($842)⁩ /mo	Premier⁦€1,885 ($2,117)⁩ /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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Run it on a name you're tracking.

A 30-minute working session on a live target or a sector you're watching — the consumer signal underneath it, and where to point diligence. An early, directional read.

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