Census reveals 13 ways of living in Brazil

If you ask a media planner who the audience is for a campaign, the answer almost always comes in ranges: “adults 25-54, classes ABC.” If you ask a DSP, the answer comes in segments: “in-market for automotive,” “parents with toddlers,” “fitness enthusiasts.”

Neither answer knows how many people actually exist in that territory.

Classical demographics operates on averages. Average age, average income, average family composition. But a neighborhood is not an average — it is a composition. And radically different compositions generate radically different needs.

Take two neighborhoods in Maceió, the capital of Alagoas — same city, same state:

Ponta Verde — 23,782 adults, average income R$11,036: - 20.8% are young married couples without children (AB1) - 20.3% are senior married couples (AB8) — one in five residents - 5.8% are elderly living alone (AB9) - Only 3.4% have young children (AB3)

Benedito Bentes — 78,454 adults, average income R$1,581: - 9.8% have young children (AB3) — nearly triple Ponta Verde - 9.7% are single mothers/fathers (AB7) - Only 9.9% are senior married couples (AB8) — half of Ponta Verde - 7.2% are young singles (AB5)

Ponta Verde is a neighborhood of mature couples and active seniors with high income. Benedito Bentes is a neighborhood of young families, single mothers, and workers building their lives. The distance between them is 12 km. The demographic difference is another country.

If you buy media for “adults 25-54 in Maceió,” you are treating Ponta Verde and Benedito Bentes as the same place. They are not. The senior health insurance campaign that makes sense in Ponta Verde is wasted in Benedito Bentes — and the diaper campaign that works in Benedito Bentes finds no audience in Ponta Verde.

NexOS classifies the adult population (18+) of each municipality into 13 family arrangements, derived from IBGE 2022 Census microdata:

Each municipality has a unique distribution of these 13 types. This distribution is the demographic DNA of the territory.

Programmatic media offers segments based on digital behavior: “in-market for travel,” “parents,” “fitness enthusiasts.” They are useful for online targeting. But they have three fundamental limitations for territorial planning:

1. Segments don’t count real people.

When a DSP says “parents with toddlers” in Jacintinho (Maceió), it doesn’t know there are exactly 4,230 people (7.8% of 54,000 adults) classified as AB3. In Benedito Bentes, there are 7,688 (9.8% of 78,000). In Olho D’Água dos Cazuzinhos, in Arapiraca (Alagoas interior), there are 967 (11.5% of 8,000). The programmatic planner operates with “estimated reach” and “available impressions” — never with the actual number of people in the target.

Knowing the real number changes planning. If the target in Jacintinho is 4,230 parents with young children and the campaign delivers 50,000 impressions there, you are impacting 12 times more than necessary. That is waste — and the brand is paying to talk to people who aren’t the audience.

2. Segments don’t know the territory.

A DSP’s “parents” segment treats equally a single mother in Vergel do Lago (Maceió) — where 10.9% of the population is single-parent, average income R$1,497 — and a married mother in Pajuçara — where single parents are less than 7%, average income R$7,659. The first depends on public transport, buys on credit at the corner store, takes her child to public school. The second has a car, shops at the supermarket, and pays for private school. Same segment. Opposite reality.

3. Segments don’t show what’s absent.

If Olho D’Água dos Cazuzinhos in Arapiraca has 12.5% single parents (AB7) — 1,052 people with an average income of R$1,126 — that means a campaign for social benefits, health, and public education has a concentrated base there. No DSP shows this. No digital audience report reveals that in a neighborhood in the Alagoas interior there is one of the highest concentrations of single-parent families in the state.

The biggest inefficiency in Brazilian media planning is not high CPMs. It is delivery outside the target.

When a diaper campaign delivers impressions in Ponta Verde — where only 3.4% of the population has young children — every impression that reaches a senior married couple (20.3% of the neighborhood) is money thrown away. And this doesn’t appear in any campaign report because the report measures delivery, not waste.

Archetypes allow you to calculate this waste before investing. If the target is families with young children (AB3), look at the difference between Maceió neighborhoods:

Ponta Verde has 7x higher income than Benedito Bentes, but only 1/9 of the diaper target. If you allocate budget by the cheapest CPM or the highest income, you are optimizing the wrong metric.

The most revealing data comes from comparing neighborhoods. Take Maceió:

Ponta Verde (income R$11,000) — The neighborhood with the most senior married couples in Maceió: 20.3%. Mature and senior couples who walk the waterfront in the morning, dine at seaside restaurants, and buy health insurance. Campaign for private retirement, tourism, and comfort goods.

Jacintinho (income R$1,654) — 10.4% single parents, 5,620 people. The largest popular neighborhood in the city. Community radio, sound cars, WhatsApp as the channel for everything. Campaign for social benefits, education, and public health.

Cidade Universitária (income R$1,906) — 83,000 adults, the largest neighborhood. 8.9% with young children (7,460 families), 5.8% young singles. Expansion neighborhood, universities, growing commerce. Campaign for first purchase, financing, and technology.

Vergel do Lago (income R$1,497) — 10.9% single parents, lowest income on the waterfront. Neighborhood of fishermen and tourism workers. Completely different audience from neighboring Pajuçara (income R$7,659, 21.5% senior married couples).

And in Arapiraca, in the Alagoas interior:

Olho D’Água dos Cazuzinhos — 12.5% single parent, 11.5% with young children. One in four adults is raising a child alone or with a young child. Income R$1,126. No digital audience panel knows this neighborhood exists.

Each of these numbers is a media decision waiting to be made.

The 13 archetypes are not an academic curiosity. They are the calculation base for planning without waste:

1. Size the real target — not “adults 25-54 in Maceió,” but 7,688 parents with young children in Benedito Bentes
2. Calibrate frequency — if the target in Jacintinho is 4,230 people and the plan delivers 50,000 impressions, average frequency is 12. Is that what you want?
3. Choose the right medium — AB7 (single parents) in Vergel do Lago consumes community radio and WhatsApp; AB8 (senior couples) in Ponta Verde consumes broadcast TV and newspaper
4. Avoid waste — don’t invest in Ponta Verde to sell diapers when Benedito Bentes has 10x the target concentration

The Invisible Networks method integrates archetypes with the other layers — media deserts, municipal profiles, moments, semantics — to transform what would be census data into actionable territorial intelligence.

Programmatic media extends reach. Archetypes reveal whether it’s worth reaching.

This article is part of the Tramas series — territorial intelligence as method. Demographic data can be explored at the municipality, neighborhood, and census tract level on the NexOS platform. Source: IBGE 2022 Census microdata.