Territorial analysis
Municipal and state rankings, analysis by city, neighborhood and census tract, with population, income, gender and housing indicators.
Platform
Territorial intelligence and geomarketing
Expansion decisions built on territorial intelligence
Cross demographic, business, labor and urban data to identify the best markets, understand the surroundings of every unit and find where your audience and your opportunities are.
- 5,570
- municipalities in the country
- Census tract
- smallest unit of analysis
- 7 layers
- of integrated data
- Your own data
- import network and customer base
Attractiveness
low → high
Data layers integrated and updated at the source
Census
Population and households
Income
Local purchasing power
Businesses
Active establishments
Employment
Employment ties and pay
Movement
Hires and terminations
Construction
Active building permits
Urban network
Roads, hubs and terminals
+100
indicators per territory
New
Criala for iOS and Android
The analysis starts in the field.
Whoever visits the site opens the app and immediately sees the data for the territory they are standing on. They log what they observed, photograph the storefront and foot traffic, and everything reaches the web project before they get back to the office.
- Data lookup by GPS
- Start an analysis in the field
- On-site notes
- Geotagged photos
- Visit checklist
- Syncs with web projects
- Share with the team
Included in every plan. Same login as the platform.
Visit · Sep 9
Av. Italia, 928
Checklist
Foot traffic
Parking and access
Surrounding businesses
Note
Corner with a traffic light, heavy traffic between 11am and 2pm. Wide storefront.
-23.0264, -45.5559
Synced with the project
Where you are
attractiveness
competitor
hub
500 m
15-min isochrone
Capabilities
From the whole country to a census tract.
Twelve areas of analysis over the same geographic base. Compare cities, drill down to the surroundings of an address and apply the same model across your entire network.
Business intelligence
Locate establishments by line of business and segment, identify competitors and complementary businesses, and analyze openings and closures.
Location studies
Radii, catchment areas and travel time around a point, with commercial attractiveness, break-even point and estimated return.
Import your network, compare territorial performance between stores and identify regions with potential for new units.
Import your customer base by ZIP code and see the geographic distribution, concentration, reach and the areas still little explored.
Artificial Intelligence
The AI reads the layers visible on the map and returns strengths, risks and opportunities — with a recommendation on whether to open or not.
Household income above the municipal average
Three direct competitors within an 800 m radius
Two active construction sites nearby
Customizable maps
Combine layers.
Combine layers.
Save and share.
Configurable color scales and legends, distance and area measurement, annotations and points of interest — organized in projects with teams and permissions.
- Sectors, neighborhoods, heat maps and hexagonal grids
- Search and centering by address
- Radii, catchment areas and travel time
- Favorites for cities, sectors, maps and projects
- Export results for commercial actions
Layers
Attractiveness
Household income
Competitors
Isochrones
Active construction
Hubs and terminals
City ranking
1São Paulo · SP92
2Campinas · SP83
3S. J. dos Campos · SP77
4Sorocaba · SP71
5Ribeirão Preto · SP68
Composition
4 layers over the territorial base
Criala AI
The read you would do, in seconds.
The AI automatically analyzes the layers visible on the map, reads a specific census tract and returns strengths, risks and opportunities — always from the available indicators, never guesswork.
- Automatic analysis of the layers visible on the map
- Specific reading of a census tract
- Strengths, risks and opportunities kept separate
- Recommendations based on the available indicators
Census tract analysis
Strengths
- Household income 34% above the municipal average
- Two bus terminals within a 1.2 km radius
Risks
- Three direct competitors in the same line of business within 800 m
Opportunities
- Positive formal employment balance over the last 12 months
- Two residential construction projects active nearby
Recommendation
Favorable to opening
MCP
Criala's context server
Ask your own AI.
Connect Criala to the assistant your team already uses. It queries territorial data straight from our base — municipalities, census tracts, competition, jobs and construction — and answers with real numbers, not estimates.
- Natural-language queries, without leaving your assistant
- Answers cite the source and the geographic scope
- Same permissions as the platform, per user and project
Criala MCP
5,570 municipalities · census tract · jobs · construction
active
›
Which neighborhood in Campinas has the highest average income and the fewest gyms within a 1 km radius?
Cambuí leads with an average income of R$ 9,180 and two gyms within radius. Source: 2022 Census, CNAE 9313-1.
Practical applications
What teams do with Criala.
Areas of analysis
6 features
Brand intelligence
Territorial coverage of large networks, with openings and closures over time.
5 features
Employment and economic activity
Formal employment ties, pay and job balance to read growth or contraction.
5 features
Construction and urban development
Active building permits reveal areas in transformation before occupation.
6 features
Hubs and centralities
Malls, terminals, hospitals and universities and their impact on the surroundings.
6 features
Customizable maps
Scales, legends, annotations and measurements saved and shared with the team.
6 features
Corporate management
Projects, teams, permissions and access trail to operate at scale.
Use cases
Select to see the detail
01 / 10
Choosing where to open a store
Compare neighborhoods and sectors side by side by attractiveness score, see what pulls each score up or down, and bring the board a decision backed by the numbers behind it.
Who uses it
Every team arrives with a question.
Three different questions, answered by the same base. That is what keeps expansion, sales and intelligence speaking the same language at decision time.
01
Expansion
Where do we open the next unit without competing with the ones we already have?
What the base answers
Attractiveness score by sector, current network coverage and the catchment areas that overlap.
02
Sales
Who should we approach first in this region?
What the base answers
Companies filtered by line of business, size and location, ranked by potential and grouped into a route.
03
Intelligence
How do I back this recommendation in front of the board?
What the base answers
The evidence behind every number: historical series, sources and what pulls the score up or down.
Start with the territory you already know.
In 30 minutes we run an analysis on one of your units and you compare the result with what you already know about that region.