Sales Qualification

#  What if the sales rep knew, before calling,  
whether the lead has an economic profile?

Top-of-funnel enrichment: how a lead's address can reveal estimated income, territorial context, and the surrounding socioeconomic profile — in real time, via API. No CPF required. 

+30%

conversion with  
enriched leads ¹

-50%

customer acquisition  
cost ³

77%

more ROI with  
lead scoring ²

The problem

## Your sales team is treating all leads with the same priority.

Most B2C and B2B2C operations work with raw lists: name, phone, maybe a CPF. The sales rep calls, manually qualifies, and discovers after 10 minutes that the lead doesn't fit the product profile. Multiply that by hundreds of contacts per day.

97%

of contacts are wasted in operations without enrichment

Typical scenario: 3% conversion in high-volume B2C operation

10 min

spent per call to manually qualify a lead

Average time before identifying the lead has no profile

0

context data about the lead's economic profile

Filtering by city or state is not segmentation — it's noise

The scenario

## Two identical leads in the form. Completely different profiles.

Without territorial enrichment, your CRM can't distinguish a lead with high economic fit from one without purchasing power for the product. Both arrive as a line in the spreadsheet.

Lead A

### South Zone of São Paulo — Alto da Boa Vista

**ZIP:** 04742-000

**Estimated income:** Municipal 92nd percentile

**Range:** 5 to 10 minimum wages

**Community:** Outside (12.4 km)

**Profile:** Urban, high density

→ Priority lead. Senior sales rep approaches with context.

Lead B

### Rural Maranhão — countryside

**ZIP:** 65700-000

**Estimated income:** Municipal 8th percentile

**Range:** Up to 1 minimum wage

**Community:** N/A (rural area)

**Profile:** Rural, low density

→ No economic fit. Automatic nurturing or discard.

Without PrismaData, both look identical in the spreadsheet. With it, Lead A is prioritized and Lead B doesn't consume the sales rep's time.

The solution

## One API call. Complete socioeconomic context.

Send a ZIP code or coordinate. Receive back estimated income with percentiles, community indicator, territorial profile, and urban/rural context. Monthly updates with PNAD Contínua microdata.

GET /v1/location/income?cep=04742000

{ "renda_estatica": { "faixa_sm": "5_a_10", "percentil_municipal": 92, "percentil_estadual": 78, "percentil_nacional": 85 }, "renda_dinamica": { "renda_media": 8432.50, "z_score": 1.24, "cdf": 0.892 }, "comunidade": { "dentro": false, "distancia_borda_m": 12400, "complexo_mais_proximo": "Paraisópolis", "domicilios_complexo": 19202 }, "perfil_territorial": { "situacao": "URBANA", "densidade": "ALTA", "area_especial": false } } 

Renda

wage_range + percentiles

Purchasing power with municipal, state, and national comparisons

Comunidade

distancia_borda_m

Continuous variable: inside, surrounding, or outside. Size and hierarchy

Territory

situation + density

Urban/rural, density, special area. Base segmentation layer

Applications

## At which funnel stages to apply?

Every lead that arrives with an address or ZIP code is an opportunity to add context before the sales approach.

📥

#### Inbound lead qualification

Lead fills in form with ZIP code. In sub-second, your CRM already knows the region's economic profile and automatically prioritizes.

📊

#### Imported base scoring

Received 50,000 leads? Enrich in batch (up to 1,024/call) and sort by economic fit before distributing to the team.

🎯

#### Campaign segmentation

Create regional clusters based on income and territorial profile. Calibrate message, offer, and channel by real context.

🔀

#### Smart routing

Premium lead goes to the senior sales rep. Low-ticket lead goes to digital. The rule uses API data, no manual intervention.

💰

#### Regional pricing

Adjust price and payment terms based on the surrounding economic profile. More conversion, same margin.

🔄

#### Churn prevention

Cross territorial profile with disengagement signals. Customers in regions with declining income may need proactive retention.

Integration

## How it works

Simple integration via REST API. Just send the lead's ZIP code or coordinate at the time of registration or in batch.

Lead enters funnel Form, ads, base import PrismaData API /v1/location/income ZIP or coordinate Enriched response Income, community, territorial profile Scoring / Rules CRM or rules engine applies segmentation

REST

Standard API

< 200ms

Typical latency

1.024

Points/batch call

SDK

Python available

OpenAPI

Spec + Sandbox

AI-ready

Claude Code, Copilot, Cursor

Differentiator

## Data updated monthly. Not Census 2022.

PrismaData's income models are recalibrated monthly with PNAD Contínua microdata and ML inference algorithms. Nationwide coverage, census tract granularity.

Mensal

Income model updates via PNAD Contínua

Nationwide

Complete coverage of Brazil at the census tract level

Contínuo

Community indicator as a numeric variable, not a binary label

Reference data: PNAD Contínua (IBGE), 2022 Demographic Census, SNIS, official public sources. Proprietary models with ML inference.

Governance

## Territorial data, not personal. LGPD-compliant.

#### No personal data

The query key is the ZIP code or geographic coordinate — not the CPF, name, or any personal identifier. The data returned describes the profile of a **region** , not an individual.

#### LGPD-compliant

There is no personal data processing in the enrichment layer. The input is an address; the output is territorial context. This radically simplifies the compliance discussion.

#### Public and auditable sources

All variables are derived from official public sources (IBGE, PNAD, Census). Proprietary modeling, open input data. Every response is traceable and explainable.

Results

## Less volume in the pipeline. More conversion per sales rep.

+30%

conversion with enriched leads

Source: Demand Local ¹

+25%

sales-qualified leads

Source: SMARTe ²

-50%

customer acquisition cost

Source: Demandbase ³

**References:**  
¹ Demand Local, _38 Audience Enrichment Techniques Statistics_ , 2024. [demandlocal.com](<https://www.demandlocal.com/blog/audience-enrichment-techniques-statistics/>)  
² SMARTe, _Lead Enrichment in 2026: What It Is & How It Boosts Sales_. [smarte.pro](<https://www.smarte.pro/blog/lead-enrichment>)  
³ Demandbase, _State of B2B Advertising Report_ , citado em Integrate. [integrate.com](<https://www.integrate.com/blog/what-is-data-enrichment>)

## Ready to qualify your funnel with territorial data?

Talk to PrismaData. We can run a pilot with ZIP codes from your own database in minutes.

[Talk to PrismaData](<https://prismadata.io/contato/>) [Explore the API →](<https://prismadata.io/documentacao-tecnica/>)