
1datapipe | B2C Intent Data | Brazil | 223M Verified National Profiles for KYC, Fraud, and Risk Modeling
national_id
|
id_type
|
address
|
address.latitude
|
address.longitude
|
lifestyle.location.dist
|
lifestyle.location.latitude
|
lifestyle.location.longitude
|
lifestyle.arts
|
lifestyle.arts.museum_and_theater_goers
|
lifestyle.arts.photo_and_video_enthusiasts
|
lifestyle.entertainment
|
lifestyle.entertainment.games_adventure
|
lifestyle.entertainment.games_arcade
|
lifestyle.entertainment.games_board
|
lifestyle.entertainment.games_card
|
lifestyle.entertainment.games_casino
|
lifestyle.entertainment.games_casual
|
lifestyle.entertainment.games_dice
|
lifestyle.entertainment.games_family
|
lifestyle.entertainment.games_music_and_rhythm
|
lifestyle.entertainment.games_puzzle
|
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
lifestyle.entertainment.games_role_playing_games
|
lifestyle.entertainment.games_shooters_and_fps
|
lifestyle.entertainment.games_simulation
|
lifestyle.entertainment.games_sports
|
lifestyle.entertainment.games_strategy
|
lifestyle.entertainment.games_trivia
|
lifestyle.entertainment.games_word
|
lifestyle.food_and_drink
|
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
lifestyle.food_and_drink.restaurant_frequenters
|
lifestyle.health_and_fitness
|
lifestyle.health_and_fitness.fitness_enthusiasts
|
lifestyle.health_and_fitness.gym_goers
|
lifestyle.health_and_fitness.runners_or_joggers
|
lifestyle.interests_and_activities
|
lifestyle.interests_and_activities.country_club_members
|
lifestyle.interests_and_activities.gamers
|
lifestyle.interests_and_activities.movie_goers
|
lifestyle.interests_and_activities.news_readers
|
lifestyle.interests_and_activities.reading_enthusiasts
|
lifestyle.retail
|
lifestyle.retail.beauty_and_health_buyers
|
lifestyle.retail.big_box_retailer_shoppers
|
lifestyle.retail.cpg_buyers
|
lifestyle.retail.consumer_electronics_buyers
|
lifestyle.retail.department_store_value_shoppers
|
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
lifestyle.retail.hotel_visitors
|
lifestyle.retail.sports_and_outdoor_buyers
|
lifestyle.retail.upscale_shoppers
|
lifestyle.retail.young_and_hip_shoppers
|
lifestyle.sports
|
lifestyle.sports.golf_enthusiasts
|
lifestyle.sports.soccer_enthusiasts
|
lifestyle.sports.sports_enthusiasts
|
lifestyle.telecommunication
|
lifestyle.telecommunication.downloaders
|
lifestyle.telecommunication.dual_sim_phone_users
|
lifestyle.travel
|
lifestyle.travel.air_travelers
|
lifestyle.travel.business_travelers
|
lifestyle.travel.leisure_travelers
|
lifestyle.life_stages
|
lifestyle.life_stages.singles
|
lifestyle.life_stages.college_students
|
lifestyle.general_demographics
|
lifestyle.general_demographics.55+
|
lifestyle.general_demographics.male
|
lifestyle.general_demographics.18-24
|
lifestyle.general_demographics.25-34
|
lifestyle.general_demographics.35-44
|
lifestyle.general_demographics.45-54
|
lifestyle.general_demographics.female
|
lifestyle.general_demographics.low_income
|
lifestyle.general_demographics.high_income
|
lifestyle.general_demographics.young_mothers
|
lifestyle.general_demographics.average_income
|
lifestyle.general_demographics.millennial_males
|
lifestyle.general_demographics.families_with_kids
|
lifestyle.general_demographics.millennial_females
|
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Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx |
Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx |
Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx |
Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx |
Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
national_id
|
Integer | 24777834015 | |
id_type
|
String | CPF | |
address
|
String | Recanto de Ribeiro, 12 Pastor, SP 21832-051 | |
address.latitude
|
Float | -47.810111 | |
address.longitude
|
Float | 131.60751 | |
lifestyle.location.dist
|
Float | 34.26 | |
lifestyle.location.latitude
|
Float | -47.81 | |
lifestyle.location.longitude
|
Float | 131.608 | |
lifestyle.arts
|
Float | 0.98 | |
lifestyle.arts.museum_and_theater_goers
|
Float | 0.03 | |
lifestyle.arts.photo_and_video_enthusiasts
|
Float | 0.14 | |
lifestyle.entertainment
|
Float | 0.41 | |
lifestyle.entertainment.games_adventure
|
Float | 0.37 | |
lifestyle.entertainment.games_arcade
|
Float | 0.97 | |
lifestyle.entertainment.games_board
|
Float | 0.49 | |
lifestyle.entertainment.games_card
|
Float | 0.4 | |
lifestyle.entertainment.games_casino
|
Float | 0.39 | |
lifestyle.entertainment.games_casual
|
Float | 0.92 | |
lifestyle.entertainment.games_dice
|
Float | 0.26 | |
lifestyle.entertainment.games_family
|
Float | 0.43 | |
lifestyle.entertainment.games_music_and_rhythm
|
Float | 0.86 | |
lifestyle.entertainment.games_puzzle
|
Float | 0.44 | |
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
Float | 0.55 | |
lifestyle.entertainment.games_role_playing_games
|
Float | 0.82 | |
lifestyle.entertainment.games_shooters_and_fps
|
Float | 0.52 | |
lifestyle.entertainment.games_simulation
|
Float | 0.53 | |
lifestyle.entertainment.games_sports
|
Float | 0.28 | |
lifestyle.entertainment.games_strategy
|
Float | 0.27 | |
lifestyle.entertainment.games_trivia
|
Float | 0.95 | |
lifestyle.entertainment.games_word
|
Float | 0.5 | |
lifestyle.food_and_drink
|
Float | 0.02 | |
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
Float | 0.96 | |
lifestyle.food_and_drink.restaurant_frequenters
|
Float | 0.03 | |
lifestyle.health_and_fitness
|
Float | 0.71 | |
lifestyle.health_and_fitness.fitness_enthusiasts
|
Float | 0.64 | |
lifestyle.health_and_fitness.gym_goers
|
Float | 0.31 | |
lifestyle.health_and_fitness.runners_or_joggers
|
Float | 0.58 | |
lifestyle.interests_and_activities
|
Float | 0.56 | |
lifestyle.interests_and_activities.country_club_members
|
Float | 0.86 | |
lifestyle.interests_and_activities.gamers
|
Float | 0.78 | |
lifestyle.interests_and_activities.movie_goers
|
Float | 0.5 | |
lifestyle.interests_and_activities.news_readers
|
Float | 0.21 | |
lifestyle.interests_and_activities.reading_enthusiasts
|
Float | 0.63 | |
lifestyle.retail
|
Float | 0.13 | |
lifestyle.retail.beauty_and_health_buyers
|
Float | 0.5 | |
lifestyle.retail.big_box_retailer_shoppers
|
Float | 0.42 | |
lifestyle.retail.cpg_buyers
|
Float | 0.36 | |
lifestyle.retail.consumer_electronics_buyers
|
Float | 0.74 | |
lifestyle.retail.department_store_value_shoppers
|
Float | 0.31 | |
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
Float | 0.27 | |
lifestyle.retail.hotel_visitors
|
Float | 0.62 | |
lifestyle.retail.sports_and_outdoor_buyers
|
Float | 0.2 | |
lifestyle.retail.upscale_shoppers
|
Float | 0.3 | |
lifestyle.retail.young_and_hip_shoppers
|
Float | 0.17 | |
lifestyle.sports
|
Float | 0.69 | |
lifestyle.sports.golf_enthusiasts
|
Float | 0.29 | |
lifestyle.sports.soccer_enthusiasts
|
Float | 0.81 | |
lifestyle.sports.sports_enthusiasts
|
Float | 0.08 | |
lifestyle.telecommunication
|
Float | 0.06 | |
lifestyle.telecommunication.downloaders
|
Float | 0.81 | |
lifestyle.telecommunication.dual_sim_phone_users
|
Float | 0.76 | |
lifestyle.travel
|
Float | 0.85 | |
lifestyle.travel.air_travelers
|
Float | 0.04 | |
lifestyle.travel.business_travelers
|
Float | 0.76 | |
lifestyle.travel.leisure_travelers
|
Float | 0.99 | |
lifestyle.life_stages
|
Float | 0.41 | |
lifestyle.life_stages.singles
|
Float | 0.17 | |
lifestyle.life_stages.college_students
|
Float | 0.38 | |
lifestyle.general_demographics
|
Float | 0.86 | |
lifestyle.general_demographics.55+
|
Float | 0.89 | |
lifestyle.general_demographics.male
|
Float | 0.81 | |
lifestyle.general_demographics.18-24
|
Float | 0.11 | |
lifestyle.general_demographics.25-34
|
Float | 0.27 | |
lifestyle.general_demographics.35-44
|
Float | 0.09 | |
lifestyle.general_demographics.45-54
|
Float | 0.54 | |
lifestyle.general_demographics.female
|
Float | 0.43 | |
lifestyle.general_demographics.low_income
|
Float | 0.77 | |
lifestyle.general_demographics.high_income
|
Float | 0.8 | |
lifestyle.general_demographics.young_mothers
|
Float | 0.93 | |
lifestyle.general_demographics.average_income
|
Float | 0.91 | |
lifestyle.general_demographics.millennial_males
|
Float | 0.25 | |
lifestyle.general_demographics.families_with_kids
|
Float | 0.63 | |
lifestyle.general_demographics.millennial_females
|
Float | 0.23 |
Description
Country Coverage
History
Volume
223 million | RECORDS |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$5,000 / month |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
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Frequently asked questions
What is 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
223M privacy-first verified Brazilian profiles for KYC, fraud detection, and AI risk modeling.
What is 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling used for?
This product has 5 key use cases. 1datapipe recommends using the data for Market Research, Location-based Audience Analytics, Customer Intelligence, Marketing Intelligence, and Know Your Customer (KYC). Global businesses and organizations buy Consumer Marketing Data from 1datapipe to fuel their analytics and enrichment.
Who can use 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
This product is best suited if you’re a Enterprise looking for Consumer Marketing Data. Get in touch with 1datapipe to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling cover?
This product includes data covering 1 country like Brazil. 1datapipe is headquartered in United States of America.
How much does 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling cost?
Pricing for 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling starts at USD5,000 per month. Connect with 1datapipe to get a quote and arrange custom pricing models based on your data requirements.
How can I get 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
Businesses can buy Consumer Marketing Data from 1datapipe and get the data via SFTP and REST API. Depending on your data requirements and subscription budget, 1datapipe can deliver this product in .csv format.
What is the data quality of 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
This product has 3 related products. These alternatives include 1datapipe Identity & Lifestyle Data Indonesia 208M Dataset Complete Insights, Consumer Marketing Data, Audience Targeting Data- B2C Consumer Audience Builder USA - Identity Graph Data, and GeoPersona Brand Segments US Segmentation Data Available Globally GDPR-Compliant. You can compare the best Consumer Marketing Data providers and products via Datarade’s data marketplace and get the right data for your use case.