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Mapfry is a company founded by professionals with extensive experience in Geomarketing
Behind each data there is a solid and improved methodology after visiting the largest companies in the segment.
Learn about indications for using our data in analyses for retail expansion and franchises.
Understand how The data structure is distributed among the plans.
Totals
Always start your analysis here and find out immediately where the highest population concentrations are.
When interpreted in the sequence of Total Population, the total number of Households gives us a perspective of families in the region.
Just as there are several businesses that focus on the home and not on people specifically.
Before knowing what the predominant income class is, understand the places where there is a greater concentration of money.
Some people are looking for class A, when the regions with the highest concentration of money are in classes B or C.
Observe this and align your strategy with the best opportunities.
(1) Information available from the Basic plan.
Consolidated information on household expenditures in the regions is currently available.
It will soon be opened in categories and subcategories.
(2) Information available only on the Professional plan.
Segments
The portrait of families in the regions.
Neighborhoods with 4 or more residents per household are markedly familiar, while in places with a concentration of 2 or less we have more independent people.
When interpreted in the sequel to Residents by Domicile, it allows an interpretation of people's moments in life.
Observe the composition of small and young families, families with older parents, elderly couples, young adults living alone, or widowed.
Those who live on rent or are still committed to homeownership payments have less to spend.
Those who do not own the property in which they live are also not interested in renovations, and those who already own it are more likely to invest in improvements.
Those who live in a property that has already been paid for are free from a major commitment in the family budget.
Combine family sizes, ages, and acquisition status, and you have a rich profile of who lives in that location.
A monitoring and security company will have fewer customers in an apartment and condominium region than in a housing region.
Just like a pool company prefers to see more houses than apartments.
Laundromats, on the other hand, have more to offer for those who live in apartments than houses.
Even the average size of pets increases when we go from houses to apartments.
This is one of the most requested data in Geomarketing analysis, but it must be observed last.
This is because a family's income is comprised of its members, ranging from an adult who lives alone in a valued neighborhood to a family with 5 or more people in a popular neighborhood.
People's ages also influence income, with young people in their first jobs earning less, to adults in the phase of professional consolidation, or the elderly with their pensions.
As well as the presence of children and other dependents who divide the family budget.
As we have seen, knowing whether the household is owned or rented may be even more important than the family income range.
Even so, some goods and services are aimed at the higher or lower ranges, so they will be more successful in places with a concentration of these profiles.
It is worth remembering that income is part of the social class, but it is not the only factor of social distinction.
(3) Information available from the Personal plan.
Regions with the highest concentration of workers, commerce, and service activities in local economies.
These are the places where people tend to interact and spend more time outside their homes.
(4) Information available only on the Professional plan.
Follow an example of data analysis in the territory
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