USE CASES · WHITE SPACES

WHITE SPACE ANALYSIS · GROWTH DECISIONS

Find the white spaces before your competitor does

Map where demand lives with no one serving it, size each gap in customers and spending, and turn the best ones into a prioritised expansion pipeline.

WHITE SPACE BOARD

MARKET CZ · 3 GAPS SIZED

Schematic market map: covered catchments of an existing network and dashed white-space zones with unserved demand dots

Covered demand

White space

White space

GAPS · SIZED ON ONE MODEL

W·01 · N

Priority

Riverbank district

12,400 HH UNSERVED · NO COMPETITOR

W·02 · S

Contested

South suburbs

8,100 HH · COMPETITOR WEAK

W·03 · E

Deprioritise

Old port

DEMAND THIN · SEASONAL

WHY GAPS STAY INVISIBLE

The market you don’t see is the market you lose

Every network has blind spots: places where demand exists, nobody serves it, and no report ever mentions it. Growth goes to whoever maps them first.

01°

01°

Coverage maps lie by omission

Your reports describe where you are, not where you are missing. Absence has no row in a spreadsheet, so nobody owns it.

02°

02°

Not every gap is an opportunity

An empty area can hide strong demand or none at all. Gaps have to be sized in households and spending before anyone drives out.

03°

03°

Competitors see the same map

A gap obvious from public data will not stay open long. The edge is in gaps visible only when your own data joins the market view.

04°

04°

Findings die in slide decks

A white-space study without a pipeline behind it produces a poster, not openings. Gaps need owners, scores and next steps.

HOW GROWTH IS SCOUTED TODAY

Coverage reviewed once a year

Gaps spotted by anecdote and drive-bys

Opportunity sized by gut feel

Public data everyone else has too

A study that ends as a slide deck

WITH WHITE SPACE ANALYSIS

Demand mapped where you have no presence

Every gap sized in customers and spending

Your own data joined with the market view

Gaps ranked into an expansion pipeline

Each gap handed to site selection with evidence

MAP · SIZE · PRIORITISE

From blind spots to an expansion pipeline

One analysis workflow. Demand mapped against your coverage and your competitors, every gap sized and ranked, and the winners handed straight to site selection. Re-run it each quarter and the map stays honest.

MAP · DEMAND VS COVERAGE

See demand without coverage

Demand modelled per hexagon across the whole market

Your catchments and competitor reach overlaid

White spaces appear where demand meets absence

GAP DETECTION · MARKET CZ

Riverbank district

South suburbs

Old port

SIZE · EACH GAP

Size the gap before you chase it

Households, spending and mobility per gap

Fit with your format and service radius

Contested gaps flagged before you commit

Sizing runs on White Spaces, the Growth solution used across retail and banking networks.

GAP W·01 · RIVERBANK

Unserved households

12,400

Spending potential

HIGH

Nearest competitor

14 MIN

PRIORITY GAP · TO SITE SELECTION

PRIORITISE · AND HAND OVER

Rank the gaps, feed the pipeline

Gaps ranked by net revenue potential

Winners enter site selection with evidence attached

The market re-scans each quarter, automatically

PIPELINE · Q3

Riverbank district

TO SITES

South suburbs

WATCH

Old port

DROPPED

ONE GAP IN SITE SELECTION · TWO MONITORED

WHAT MAKES A GAP WORTH IT

Why one empty area is gold and another is just empty

Emptiness is cheap; unmet demand is not. Whether a white space deserves a site depends on how much demand lives there, how it moves, and how hard competitors would fight you for it.

Gaps are sized on a hexagonal demand model calibrated with trusted location data and your own customer records, so an area only counts as white space when real spending sits inside it. Sizing and ranking read from one basis across the whole market.

SCORE COMPOSITION

What moves a gap score, by gap type

Urban gap

Suburban gap

UNMET DEMAND

Households and spending with no coverage

88

84

FLOW

Daily movement through the area

90

38

REACH

How well a new site could serve the gap

62

90

FORMAT FIT

Match with your format and service radius

80

52

SELF-OVERLAP

Risk of eating your nearest existing site

66

72

CONTEST RISK

How fast competitors could close the gap

70

55

Urban gap: flow and contest risk decide

Suburban gap: unserved households decide

SAMPLE WEIGHTS · CALIBRATED PER MARKET

THE UPSIDE

What a mapped market changes

GROWTH PIPELINE

Openings sourced from evidence, not tips

The expansion funnel fills from sized gaps instead of broker decks, so the pipeline starts ahead of the market.

FIRST-MOVER EDGE

Reach the gap before it is contested

Quarterly re-scans surface new white spaces early, while competitors still work from last year’s study.

FOCUS

Stop chasing empty emptiness

Thin-demand gaps are dropped with evidence, so teams spend field time only where the market can pay it back.

BEYOND THE MARKET STUDY

A coverage map cannot size what is missing

COVERAGE MAPS

Good for presence, silent about absence

A map of your sites shows where you are. It has no layer for demand nobody serves, which is the layer growth comes from.

MARKET STUDIES

Good for context, stale by summer

A one-off study sizes the market at a moment. Gaps open and close with every competitor move, and the study never hears about it.

BROKER TIPS

Good for deal flow, blind to demand

Brokers bring what is for lease, not where demand is unmet. The two rarely overlap.

GUT KNOWLEDGE

Good locally, impossible to scale

Your best people know their own city. Nobody knows every city, and gut knowledge does not transfer across borders.

CLEVERMAPS

White spaces as a standing discipline

Demand, coverage and competition on one model, re-scanned quarterly, with every sized gap feeding straight into site selection. Part of the Growth solution.

White space analysis is part of the Growth solution, built on trusted location data and shared decision logic.

SEEN IN REAL NETWORKS

Proven where growth was hiding

FEATURED CASE STUDY

How to identify the stores with the highest growth potential

Albert scored growth potential across 300 stores, showing not just which locations deserve investment but where the network still has unserved room to grow.

RETAIL · GROCERY NETWORK

ALSO IN OOH DELIVERY

The data science behind Dr. Max parcel locker network expansion

Read the story →

Mapping the places where demand exists but nobody, or nobody strong, serves it. Demand is modelled per small area across the whole market, overlaid with your coverage and your competitors, and every gap is sized in households, spending and format fit before it enters the expansion pipeline.
50.1033, 14.4458 · DĚLNICKÁ HQ

30-MINUTE WORKING SESSION

Bring one market you think is full

In 30 minutes we will map demand against your coverage live and show where the white spaces are, sized and ranked, on your own data.

CleverMaps footer visual for location intelligence and GeoDecision workflows

The GeoDecision platform
for the people who decide

CONTACT

CleverMaps, a.s.

Vídeňská 101/119

619 00 Brno, Czech Republic

© 2026 CleverMaps, a.s. · VAT CZ03728277

SOC 2 TYPE II · ISO 27001 · EU DATA RESIDENCY

CleverMaps footer visual for location intelligence and GeoDecision workflows

The GeoDecision platform
for the people who decide

CONTACT

CleverMaps, a.s.

Vídeňská 101/119

619 00 Brno, Czech Republic

© 2026 CleverMaps, a.s. · VAT CZ03728277

SOC 2 TYPE II · ISO 27001 · EU DATA RESIDENCY

CleverMaps footer visual for location intelligence and GeoDecision workflows

The GeoDecision platform
for the people who decide

CONTACT

CleverMaps, a.s.

Vídeňská 101/119

619 00 Brno, Czech Republic

© 2026 CleverMaps, a.s. · VAT CZ03728277

SOC 2 TYPE II · ISO 27001 · EU DATA RESIDENCY