Supermarkets

How to choose the best area to open a supermarket

Residential demand and nearby shops

What to look at

Resident population and its evolution
Socioeconomic profile and spending capacity
Household typology and average size

What you can decide

Detect areas with high unmet demand, even in small municipalities.

Request a demo for supermarkets View Pickgeo Retail

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Opening a supermarket is not just about finding an available premises. The profitability of a new opening depends on multiple territorial factors, ranging from population density to consumption habits, existing competition, and customers’ daily accessibility.

Location intelligence applied to supermarkets makes it possible to analyze all these factors together, helping chains and franchises decide where to open, where not to open, and how to optimize their existing network.

What data is key for supermarkets

Unlike other businesses, supermarkets need a strong understanding of the residential and everyday environment. With Pickgeo, this type of analysis includes:

Resident population and its evolution
Socioeconomic profile and spending capacity
Household typology and average size
Presence of competing supermarkets and similar formats
Real distance to other own stores (cannibalization)
Accessibility on foot and by car

These data help answer common questions such as:

Is there enough population to support a supermarket here?
Am I opening too close to another store?
Is a small format better, or a large-format store?

Examples of decisions supermarket chains make

Thanks to territorial analysis, chains can:

Detect areas with high unmet demand, even in small municipalities
Compare neighborhoods within the same city to prioritize openings
Adjust the supermarket size according to the profile of the surrounding area
Justify decisions to management, franchisees, or investors

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are:

Pickgeo Retail

Expansion and retail network analysis

View Retail solution for supermarkets Request a personalized demo

Gyms

How to choose the best area to open a gym

Active audiences and fitness facilities

What to look at

Resident population and demographic evolution
Predominant age group (young people, active adults, families)
Income level and recurring spending capacity

What you can decide

Identify areas with a high concentration of active population.

Request a demo for gyms View Pickgeo Retail

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Opening a gym goes far beyond finding a large, visible premises. Success depends on understanding who lives in the area, how they move, their purchasing power, and what sports offer already exists nearby. Location intelligence applied to gyms makes it possible to anticipate real demand before investing.

Key data to decide on a gym location

In the fitness sector, Pickgeo makes it possible to analyze specific variables that directly influence member acquisition and retention:

Resident population and demographic evolution
Predominant age group (young people, active adults, families)
Income level and recurring spending capacity
Presence of competing gyms and their typology (low cost, premium, boutique)
Accessibility on foot, public transport, and parking
Daily attraction of the area (offices, schools, mixed-use areas)

These variables help answer common questions such as:

Can this neighborhood support a monthly-fee gym?
Is a low-cost model a better fit, or a specialized center?
Am I entering an already saturated area?

Examples of common decisions in gym chains

Thanks to territorial analysis, chains can:

Identify areas with a high concentration of active population
Compare neighborhoods to prioritize openings
Adjust the gym’s positioning to the profile of the area
Detect opportunities in residential growth areas

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Expansion and network analysis View Retail solution for gyms Request a personalized demo

Cafés and patisseries

Open a premises where people actually pass by

Footfall and everyday spending

What to look at

Real foot traffic by street and time slot
Presence of offices, schools, or residential areas
Socioeconomic profile of the surroundings

What you can decide

Detect streets with high pedestrian flow within the same neighborhood.

Request a demo for cafés and patisseries View Footfall

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For cafés and bakeries, location is decisive. It is not enough to have population nearby: it is essential to understand daily foot traffic, neighborhood habits, and nearby points of attraction. Location intelligence applied to cafés makes it possible to identify where a premises can become the area’s go-to spot.

What variables influence the success of a café

Pickgeo makes it possible to analyze highly specific factors for this type of business:

Real foot traffic by street and time slot
Presence of offices, schools, or residential areas
Socioeconomic profile of the surroundings
Direct and indirect competition
Connectivity to public transport and natural pedestrian routes

This makes it possible to answer questions such as:

Do enough people pass along this street every morning?
Does the environment favor daily or occasional consumption?
Am I competing with too many similar premises?

Examples of common decisions in this sector

With territorial data, cafés and bakeries can:

Detect streets with high pedestrian flow within the same neighborhood
Adjust opening hours and offering according to traffic patterns
Justify locations to franchisees
Prioritize areas with recurring consumption over occasional tourist areas

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pedestrian Traffic Analysis of specific streets View Pedestrian Traffic for cafés and patisseries Request a personalized demo

Restaurants and restaurant franchises

Scale a food concept with data

Dining demand and competition

What to look at

Demographic and socioeconomic profile of the area
Existing restaurant typologies and market saturation
Pedestrian traffic and attractiveness of the area

What you can decide

Detect areas with incomplete dining offer.

Request a demo for restaurants and restaurant franchises View Pickgeo Retail

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When a restaurant works, the next challenge is to grow without losing profitability. Location intelligence applied to restaurant franchises makes it possible to identify areas where the concept is still not covered and where there is enough demand to replicate success.
Key variables for restaurant expansion
Pickgeo analyzes essential indicators for this sector:

Demographic and socioeconomic profile of the area

Existing restaurant typologies and market saturation

Pedestrian traffic and attractiveness of the area

Peak activity times

Consumption potential according to residential, work, or mixed environments

These variables help answer questions such as:

Is this type of cuisine a fit for this area?

Is there enough demand for another similar restaurant?

Does this premises make sense to attract franchisees?

Common decisions in restaurant franchises
Restaurant chains use territorial data to:

Detect areas with incomplete dining offer

Estimate average ticket and revenue potential

Compare locations between cities or neighborhoods

Support decisions in front of franchisees and investors

Which Pickgeo solution is the best fit
For this sector, the most commonly used tools are: Pickgeo Retail Structured expansion View Retail solution for restaurants Request a personalized demo

Pharmacies and parapharmacies

Choose a location while meeting regulations and profitability goals

Population, health and a regulated environment

What to look at

Resident population and demographic aging
Proximity to other pharmacies (legal criteria)
Closeness to health centers and hospitals

What you can decide

Assess the real viability of a transfer.

Request a demo for pharmacies and parapharmacies View Pickgeo Retail

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The pharmaceutical sector has unique characteristics: location not only determines demand, but is also highly regulated. Location intelligence applied to pharmacies makes it possible to analyze the surroundings before starting a transfer, opening, or expansion, reducing legal and commercial risks.

Key data for pharmacies and parapharmacies

Pickgeo makes it possible to analyze critical variables such as:

Resident population and demographic aging
Proximity to other pharmacies (legal criteria)
Closeness to health centers and hospitals
Income level and healthcare consumption profile
Pedestrian flow and daily accessibility

These metrics help answer questions such as:

Does this location meet legal requirements?
Is there enough demand to support a pharmacy?
Is a transfer better, or a new opening?

Common decisions in the sector

With location intelligence, pharmacies can:

Assess the real viability of a transfer
Prioritize areas with high healthcare demand
Justify decisions to financial institutions
Analyze the impact of the urban environment on revenue

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Regulations, demand, and surroundings View Retail solution for pharmacies Request a personalized demo

Bakeries

Detect the hottest spots within a street

The busiest street segment

What to look at

Pedestrian traffic by street segment
Transport stops and natural crossing points
Residential profile of the immediate surroundings

What you can decide

Choose the best premises on the same street.

Request a demo for bakeries View Footfall

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For bakeries, just a few meters can make all the difference. Pedestrian traffic, visibility, and the neighborhood’s daily habits directly influence revenue. Location intelligence applied to bakeries makes it possible to analyze micro-areas with great precision.

What variables influence a profitable bakery

Pickgeo makes it possible to analyze:

Pedestrian traffic by street segment
Transport stops and natural crossing points
Residential profile of the immediate surroundings
Direct competition at very short distance
Peak movement times

This makes it possible to answer questions such as:

Which sidewalk has more traffic?
At which exact point does the flow concentrate?
Where would people buy bread on a recurring basis?

Examples of common decisions

Bakeries use data to:

Choose the best premises on the same street
Adjust opening hours based on traffic patterns
Detect strategic spots before renting
Reduce risk in neighborhood openings

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pedestrian Traffic Micro-areas and key crossing points View Pedestrian Traffic for bakeries Request a personalized demo

Laundries

Open where the model actually works

Households and recurring demand

What to look at

Type of housing and household size
Residential density and population turnover
Presence of students, tourists, or small households

What you can decide

Segment cities by exclusive areas.

Request a demo for laundries View Pickgeo Retail

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Laundries depend on daily habits and consistent volume. Choosing the wrong area can make the business unviable. Location intelligence applied to laundries makes it possible to analyze real demand before opening.

Key variables for laundries

With Pickgeo, the following are analyzed:

Type of housing and household size
Residential density and population turnover
Presence of students, tourists, or small households
Existing competition
Nearby professional clients (hotels, restaurants)

Common questions this analysis answers:

Does this area use laundries?
Is there enough customer turnover?
Can I open several without overlapping their catchment areas?

Common decisions in the sector

Chains and franchises use data to:

Segment cities by exclusive areas
Estimate potential revenue
Detect nearby professional clients
Design organized expansion networks

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Consistent residential demand View Retail solution for laundries Request a personalized demo

Toy shops

Plan expansion with a demographic perspective

Families and neighbourhood trends

What to look at

Child population and future evolution
Family typology and birth rate
Existing competition and similar formats

What you can decide

Estimate potential sales.

Request a demo for toy shops View Pickgeo Retail

Read the full analysis

The toy sector depends directly on population structure and its evolution. Location intelligence applied to toy stores makes it possible to anticipate demand and avoid openings in declining areas.

Key data for toy stores

Pickgeo makes it possible to analyze:

Child population and future evolution
Family typology and birth rate
Existing competition and similar formats
Family accessibility and retail environment

This answers questions such as:

Will this area still have children in 5 years?
Am I entering an aging neighborhood?
Is there an oversupply in the area?

Common decisions in the sector

Toy stores use data to:

Estimate potential sales
Avoid cannibalization between stores
Prioritize neighborhoods with family growth
Justify openings to franchisees

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are:

Pickgeo Retail

Child demographics and evolution

View Retail solution for toy stores Request a personalized demo

Self-storage

Location Intelligence to open storage units in areas with real demand

Housing, density and the need for space

What to look at

Population density and housing type (apartments vs single-family homes)
Average household size and family structure
Socioeconomic level and monthly spending capacity

What you can decide

Identify cities or neighborhoods with high potential demand.

Request a demo for self-storage View Pickgeo Retail

Read the full analysis

The success of a self-storage center depends on something very specific: recurring demand in the surrounding area. It is not enough to have a good premises; you need an area where people genuinely need extra space (small households, high residential density, frequent moves, etc.). Location intelligence applied to storage units makes it possible to detect those areas with precision.

What data is key for storage units

With Pickgeo, you can analyze variables such as:

Population density and housing type (apartments vs single-family homes)
Average household size and family structure
Socioeconomic level and monthly spending capacity
Urban growth and residential expansion areas
Competition and existing storage supply
Accessibility and ease of access (vehicle, loading/unloading)

Typical questions it answers:

Does this area have households with storage needs?
Is there enough density to sustain occupancy?
Where can I open without overlapping with other centers?

Examples of common decisions

Storage companies use data to:

Identify cities or neighborhoods with high potential demand
Compare central vs peripheral areas in terms of expected occupancy
Choose locations with a better balance between premises cost and demand
Justify openings to partners or investors

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Residential density and need View Retail solution for storage units Request a personalized demo

Driving schools

Location Intelligence to detect neighborhoods with high student demand

Potential students and accessibility

What to look at

Population by age (young segment and adults)
Demographic evolution of the neighborhood/municipality
Proximity to high schools, universities, and vocational training centers

What you can decide

Identify demand generators (education areas, young neighborhoods).

Request a demo for driving schools View Pickgeo Retail

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Demand for a driving school depends on very clear territorial factors: target-age population, presence of educational centers, daily mobility, and accessibility. Location intelligence applied to driving schools helps choose areas with real potential and avoid locations where acquiring students is more expensive.

Key data for driving schools

Pickgeo allows you to analyze:

Population by age (young segment and adults)
Demographic evolution of the neighborhood/municipality
Proximity to high schools, universities, and vocational training centers
Socioeconomic level and spending capacity
Direct competition and density of academies
Accessibility by public transport and usual routes

Questions it usually answers:

Is there enough target population here?
Is it better near a campus or residential neighborhoods?
Does the competition still leave room for me?

Examples of decisions made with data

Driving schools use data to:

Identify demand generators (education areas, young neighborhoods)
Compare neighborhoods and prioritize openings with better expected return
Adjust acquisition strategy and promotions according to the local profile
Decide on expansion to nearby municipalities with unmet demand

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Target population and accessibility View Retail solution for driving schools Request a personalized demo

Delivery and dark kitchens

Choose a location with data for delivery and local consumption

Delivery coverage and times

What to look at

Residential density and consumption profile
Presence of offices (midday peaks) vs residential areas (evening peaks)
Accessibility and connectivity of the surroundings

What you can decide

Estimate sales by separating local consumption from delivery.

Request a demo for delivery and dark kitchens View Pickgeo Retail

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In delivery, a location must not only work in terms of footfall: it must optimize delivery times, demand density, and coverage of target areas. Location intelligence applied to delivery makes it possible to better decide where to place kitchens, dark kitchens, or hybrid premises.

Key variables in a delivery model

With Pickgeo, you can assess:

Residential density and consumption profile
Presence of offices (midday peaks) vs residential areas (evening peaks)
Accessibility and connectivity of the surroundings
Competition by offer typology
Mobility and territorial patterns affecting delivery
Areas where it makes sense to strengthen coverage or open a new point

Typical questions:

Does this location cover my delivery areas well?
Will demand be higher at midday or at night?
Where should I open to reduce times and increase orders?

Examples of common decisions

With location intelligence, delivery businesses can:

Estimate sales by separating local consumption from delivery
Choose locations that improve average delivery times
Optimize existing premises by detecting overloaded areas or coverage gaps
Decide where to open a support kitchen for expansion

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Efficient territorial coverage View Retail solution for delivery Request a personalized demo

Home services

Plan expansion by area without overlaps

Demand and service area allocation

What to look at

Household density and family typologies
Socioeconomic profile and ability to hire services
Concentration of older population (care demand)

What you can decide

Calculate the optimal number of branches per locality.

Request a demo for home services View Pickgeo Retail

Read the full analysis

Home services agencies (cleaning, care, assistance) need one key thing: territorial balance. Opening without data can lead to areas with little demand or overlaps between branches. Location intelligence applied to home services helps design a sustainable network.

Key data for this sector

Pickgeo makes it possible to analyze:

Household density and family typologies
Socioeconomic profile and ability to hire services
Concentration of older population (care demand)
Territorial distribution for area assignment
Competition and existing offer
Accessibility and mobility between neighborhoods

Common questions:

How many areas with real demand exist in this city?
How do I divide the territory without overlapping branches?
How many franchisees fit in each municipality?

Examples of common decisions

Home services agencies use territorial data to:

Calculate the optimal number of branches per locality
Define balanced areas for franchisees
Prioritize neighborhoods with sustained demand and compatible profiles
Justify expansion to management or partners

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Balanced territorial distribution View Retail solution for home services Request a personalized demo

Outdoor advertising

Measure visibility with people and mobility data

Audiences by location and time slot

What to look at

Pedestrian traffic by time slot and day
Density and population profile of the surroundings
Area attraction (retail, leisure, transport)

What you can decide

Select locations with the highest impact potential.

Request a demo for outdoor advertising View Footfall

Read the full analysis

In outdoor advertising, the asset is attention: how many people pass by, when they pass by, and what profile they have. Location intelligence for OOH makes it possible to sell locations with solid arguments, combining pedestrian traffic with demographic context.

Key variables for outdoor advertising

With Pickgeo, you can analyze:

Pedestrian traffic by time slot and day
Density and population profile of the surroundings
Area attraction (retail, leisure, transport)
Comparison between locations to optimize inventory
Data-based arguments for clients

Typical questions:

Which location generates the most real impacts?
At what times is there greater exposure?
What audience profile am I reaching?

Examples of common decisions

With territorial data, advertising agencies can:

Select locations with the highest impact potential
Design proposals by audience (young people, families, tourists, etc.)
Compare billboards/mupis and justify pricing with data
Improve campaign results by optimizing locations

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pedestrian Traffic Real impact measurement View Pedestrian Traffic for advertising Request a personalized demo

Language schools

Choose locations that make student acquisition easier

Learning audiences and nearby education centres

What to look at

Population distribution by age (children, young people, adults)
Socioeconomic level and ability to spend on education
Proximity to schools, high schools, universities, and educational centers

What you can decide

Identify neighborhoods with a high concentration of target population.

Request a demo for language schools View Pickgeo Retail

Read the full analysis

The location of a language school directly influences student acquisition and retention. It is not only about visibility, but about being close to the right audience, in areas compatible with schedules, mobility, and economic capacity. Location intelligence applied to language schools makes it possible to identify areas with real demand before opening.

What data is key for language schools

With Pickgeo, you can analyze specific variables for this type of educational center:

Population distribution by age (children, young people, adults)
Socioeconomic level and ability to spend on education
Proximity to schools, high schools, universities, and educational centers
Accessibility on foot and by public transport
Direct and indirect competition in the area
Daily attraction of the area (residential, educational, work-related)

These metrics help answer common questions such as:

Is there enough school-age population in this area?
Is this a neighborhood compatible with weekday and weekend classes?
Am I too close to other similar language schools?

Examples of common decisions in language schools

Thanks to territorial analysis, schools can:

Identify neighborhoods with a high concentration of target population
Prioritize locations close to educational centers and transport
Compare areas to decide where to open a new branch
Adjust schedules and offering according to the profile of the surroundings
Justify decisions to partners or franchisees

Which Pickgeo solution is the best fit

For this sector, the most commonly used tools are: Pickgeo Retail Student acquisition by educational profile View Retail solution for language schools Request a personalized demo