GeoLifestyle Data | 6 Emerging Markets | 561M+ Records | Consumer Behavior Data and Insights
1datapipe
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Verified Data Provider
Verified Data Provider|
national_id
|
id_type
|
names_1.name
|
names_1.last_seen
|
names_2.name
|
names_2.last_seen
|
names_3.name
|
names_3.last_seen
|
gender
|
dob
|
addresses_1.address
|
addresses_1.postcode
|
addresses_1.last_seen
|
addresses_2.address
|
addresses_2.postcode
|
addresses_2.last_seen
|
addresses_3.address
|
addresses_3.postcode
|
addresses_3.last_seen
|
phones_1.phone
|
phones_1.type
|
phones_1.last_seen
|
phones_2.phone
|
phones_2.type
|
phones_2.last_seen
|
phones_3.phone
|
phones_3.type
|
phones_3.last_seen
|
emails_1.name
|
emails_1.last_seen
|
emails_2.name
|
emails_2.last_seen
|
emails_3.name
|
emails_3.last_seen
|
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
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
| xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx |
| xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | 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 | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx |
| Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxx | xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx |
| Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx |
| Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx |
Volume
561M
Records
Data Quality
75%
Mobile Phones
Avail. Format
.csv
File
Coverage
6
Countries
History
12
months
Data Dictionary
[Sample] Li Geo Sample 10 Mx
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
national_id
|
Integer | 2892932127 | |
|
id_type
|
String | CURP | |
|
names_1.name
|
String | Aurora V. | |
|
names_1.last_seen
|
DateTime | 2024-12-15T00:00:00+00:00 | |
|
names_2.name
|
String | Aurora Verduzco | |
|
names_2.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
|
names_3.name
|
String | Aur. Verduzco | |
|
names_3.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
gender
|
String | ||
|
dob
|
DateTime | 1946-07-07T00:00:00+00:00 | |
|
addresses_1.address
|
String | Peatonal Querétaro 770 Edif. 792 , Depto. 787 San Gerardo... | |
|
addresses_1.postcode
|
Integer | 66181 | |
|
addresses_1.last_seen
|
DateTime | 2024-06-15T00:00:00+00:00 | |
|
addresses_2.address
|
String | Circuito Sur Montaño 294 257 Nueva Liechtenstein, MICH 04038 | |
|
addresses_2.postcode
|
Float | 4038.0 | |
|
addresses_2.last_seen
|
DateTime | 2024-04-15T00:00:00+00:00 | |
|
addresses_3.address
|
String | Avenida Djibouti 108 Edif. 731 , Depto. 871 Nueva Jordani... | |
|
addresses_3.postcode
|
Float | 597.0 | |
|
addresses_3.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
phones_1.phone
|
Integer | 1547194163163783 | |
|
phones_1.type
|
String | MOBILE | |
|
phones_1.last_seen
|
DateTime | 2024-12-15T00:00:00+00:00 | |
|
phones_2.phone
|
Integer | 3862934058 | |
|
phones_2.type
|
String | HOME | |
|
phones_2.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
phones_3.phone
|
String | ||
|
phones_3.type
|
String | ||
|
phones_3.last_seen
|
String | ||
|
emails_1.name
|
String | aurorav@email.com | |
|
emails_1.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
|
emails_2.name
|
String | averduzco@email.com | |
|
emails_2.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
emails_3.name
|
String | ||
|
emails_3.last_seen
|
String | ||
|
address.latitude
|
Float | 44.106945 | |
|
address.longitude
|
Float | 114.758598 | |
|
lifestyle.location.dist
|
Float | 70.05 | |
|
lifestyle.location.latitude
|
Float | 44.107 | |
|
lifestyle.location.longitude
|
Float | 114.759 | |
|
lifestyle.arts
|
Float | 0.6 | |
|
lifestyle.arts.museum_and_theater_goers
|
Float | 0.45 | |
|
lifestyle.arts.photo_and_video_enthusiasts
|
Float | 0.36 | |
|
lifestyle.entertainment
|
Float | 0.13 | |
|
lifestyle.entertainment.games_adventure
|
Float | 0.23 | |
|
lifestyle.entertainment.games_arcade
|
Float | 0.32 | |
|
lifestyle.entertainment.games_board
|
Float | 0.41 | |
|
lifestyle.entertainment.games_card
|
Float | 0.59 | |
|
lifestyle.entertainment.games_casino
|
Float | 0.13 | |
|
lifestyle.entertainment.games_casual
|
Float | 0.71 | |
|
lifestyle.entertainment.games_dice
|
Float | 0.54 | |
|
lifestyle.entertainment.games_family
|
Float | 0.97 | |
|
lifestyle.entertainment.games_music_and_rhythm
|
Float | 0.9 | |
|
lifestyle.entertainment.games_puzzle
|
Float | 0.16 | |
|
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
Float | 0.69 | |
|
lifestyle.entertainment.games_role_playing_games
|
Float | 0.35 | |
|
lifestyle.entertainment.games_shooters_and_fps
|
Float | 0.65 | |
|
lifestyle.entertainment.games_simulation
|
Float | 0.81 | |
|
lifestyle.entertainment.games_sports
|
Float | 0.3 | |
|
lifestyle.entertainment.games_strategy
|
Float | 0.17 | |
|
lifestyle.entertainment.games_trivia
|
Float | 0.39 | |
|
lifestyle.entertainment.games_word
|
Float | 0.19 | |
|
lifestyle.food_and_drink
|
Float | 0.94 | |
|
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
Float | 0.7 | |
|
lifestyle.food_and_drink.restaurant_frequenters
|
Float | 0.86 | |
|
lifestyle.health_and_fitness
|
Float | 0.67 | |
|
lifestyle.health_and_fitness.fitness_enthusiasts
|
Float | 0.88 | |
|
lifestyle.health_and_fitness.gym_goers
|
Float | 0.52 | |
|
lifestyle.health_and_fitness.runners_or_joggers
|
Float | 0.61 | |
|
lifestyle.interests_and_activities
|
Float | 0.57 | |
|
lifestyle.interests_and_activities.country_club_members
|
Float | 0.33 | |
|
lifestyle.interests_and_activities.gamers
|
Float | 0.64 | |
|
lifestyle.interests_and_activities.movie_goers
|
Float | 0.01 | |
|
lifestyle.interests_and_activities.news_readers
|
Float | 0.75 | |
|
lifestyle.interests_and_activities.reading_enthusiasts
|
Float | 0.77 | |
|
lifestyle.retail
|
Float | 0.61 | |
|
lifestyle.retail.beauty_and_health_buyers
|
Float | 0.36 | |
|
lifestyle.retail.big_box_retailer_shoppers
|
Float | 0.75 | |
|
lifestyle.retail.cpg_buyers
|
Float | 0.43 | |
|
lifestyle.retail.consumer_electronics_buyers
|
Float | 0.99 | |
|
lifestyle.retail.department_store_value_shoppers
|
Float | 0.26 | |
|
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
Float | 0.83 | |
|
lifestyle.retail.hotel_visitors
|
Float | 0.45 | |
|
lifestyle.retail.sports_and_outdoor_buyers
|
Float | 0.43 | |
|
lifestyle.retail.upscale_shoppers
|
Float | 0.94 | |
|
lifestyle.retail.young_and_hip_shoppers
|
Float | 0.41 | |
|
lifestyle.sports
|
Float | 0.56 | |
|
lifestyle.sports.golf_enthusiasts
|
Float | 0.06 | |
|
lifestyle.sports.soccer_enthusiasts
|
Float | 0.29 | |
|
lifestyle.sports.sports_enthusiasts
|
Float | 0.97 | |
|
lifestyle.telecommunication
|
Float | 0.21 | |
|
lifestyle.telecommunication.downloaders
|
Float | 0.21 | |
|
lifestyle.telecommunication.dual_sim_phone_users
|
Float | 0.19 | |
|
lifestyle.travel
|
Float | 0.64 | |
|
lifestyle.travel.air_travelers
|
Float | 0.22 | |
|
lifestyle.travel.business_travelers
|
Float | 0.0 | |
|
lifestyle.travel.leisure_travelers
|
Float | 0.26 | |
|
lifestyle.life_stages
|
Float | 0.04 | |
|
lifestyle.life_stages.singles
|
Float | 0.64 | |
|
lifestyle.life_stages.college_students
|
Float | 0.45 | |
|
lifestyle.general_demographics
|
Float | 0.03 | |
|
lifestyle.general_demographics.55+
|
Float | 0.4 | |
|
lifestyle.general_demographics.male
|
Float | 0.41 | |
|
lifestyle.general_demographics.18-24
|
Float | 0.33 | |
|
lifestyle.general_demographics.25-34
|
Float | 0.96 | |
|
lifestyle.general_demographics.35-44
|
Float | 0.58 | |
|
lifestyle.general_demographics.45-54
|
Float | 0.81 | |
|
lifestyle.general_demographics.female
|
Float | 0.76 | |
|
lifestyle.general_demographics.low_income
|
Float | 0.11 | |
|
lifestyle.general_demographics.high_income
|
Float | 0.97 | |
|
lifestyle.general_demographics.young_mothers
|
Float | 0.07 | |
|
lifestyle.general_demographics.average_income
|
Float | 0.32 | |
|
lifestyle.general_demographics.millennial_males
|
Float | 0.06 | |
|
lifestyle.general_demographics.families_with_kids
|
Float | 0.69 | |
|
lifestyle.general_demographics.millennial_females
|
Float | 0.76 |
Description
Access 561M records of verified, geo-coded consumer behavior data across 6 key emerging markets. GeoLifestyle enables detailed audience segmentation, predictive analytics, and behavior-driven marketing, with full on-premise security and regulatory compliance.
GeoLifestyle Consumer Behavior Data: Scalable Behavioral and Audience Intelligence Across 6 Emerging Markets
GeoLifestyle provides companies with instant access to 561 million geo-coded consumer behavior profiles across six of the world’s most dynamic emerging economies. Designed for organizations focused on behavioral analytics, audience modeling, market research, and precision-targeted marketing, this dataset offers high-value, real-world intelligence ready for direct integration into AI, marketing, and research workflows.
Key Features:
• Volume: 561,000,000 records
• Countries Covered: 6 key emerging markets
• Historical Span: 12 months of behavior and location history
• Attributes: 78 lifestyle and behavioral attributes per profile
• Location Precision: Latitude/Longitude at 2-meter radius
• Data Delivery: On-premise, quarterly updates, fully compliant
What’s Inside:
Each record includes rich lifestyle indicators across major categories — such as shopping preferences, travel behaviors, media consumption, household composition, mobility patterns, income estimation, and affluence segmentation — combined with precise geolocation signals. This allows for granular, real-world audience understanding at scale.
Primary Use Cases:
• Behavioral and predictive analytics
• Location-based audience segmentation
• AI-driven audience modeling
• Data-driven market research
• Personalization and hyper-targeted marketing strategies
Ideal For:
• Marketing technology firms
• Financial institutions
• AI/ML teams building customer models
• Retailers expanding into emerging markets
• Agencies designing precision marketing campaigns
Data Quality and Compliance:
GeoLifestyle is stored securely on-premise with regulatory alignment to GDPR, LGPD, PDPA, and similar frameworks. With continuous quarterly refresh cycles, buyers are assured of current, compliant, and operationally ready datasets.
Pricing and additional samples available upon request.
Country Coverage
Asia
(4)
Indonesia
Philippines
Thailand
United Arab Emirates
North America
(1)
Mexico
South America
(1)
Brazil
History
12 months of historical data
Volume
| 561 million | Records |
| 78 | Lifestyle and Behavioral Attributes/ Profile |
| 2 | Meter-Radius Location Precision |
Pricing
1datapipe has not published pricing information for this product yet.
You can request detailed pricing information below.
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
Mobile Phones
Delivery
Methods
SFTP
Frequency
monthly
Format
.csv
Use Cases
Audience Segmentation
Market Research
Behavioral Analytics
Location-based Audience Analytics
Consumer Intelligence
Categories
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Starts at
$750$675 / 100000
Frequently asked questions
What is GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights?
Access 561M records of verified, geo-coded consumer behavior data across 6 key emerging markets. GeoLifestyle enables detailed audience segmentation, predictive analytics, and behavior-driven marketing, with full on-premise security and regulatory compliance.
What is GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights used for?
This product has 5 key use cases. 1datapipe recommends using the data for Audience Segmentation, Market Research, Behavioral Analytics, Location-based Audience Analytics, and Consumer Intelligence. Global businesses and organizations buy Location Data from 1datapipe to fuel their analytics and enrichment.
Who can use GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights?
This product is best suited if you’re a Enterprise looking for Location 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 GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights cover?
This product includes data covering 6 countries like Brazil, Mexico, Indonesia, Thailand, and UAE. 1datapipe is headquartered in United States of America.
How much does GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights cost?
Pricing information for GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights is available by getting in contact with 1datapipe. Connect with 1datapipe to get a quote and arrange custom pricing models based on your data requirements.
How can I get GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights?
Businesses can buy Location Data from 1datapipe and get the data via SFTP. Depending on your data requirements and subscription budget, 1datapipe can deliver this product in .csv format.
What is the data quality of GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights?
1datapipe has reported that this product has the following quality and accuracy assurances: 75% Mobile Phones. You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to GeoLifestyle Data 6 Emerging Markets 561M+ Records Consumer Behavior Data and Insights?
This product has 3 related products. These alternatives include Persona enrich 1st-party data with 350+ U.S. consumer personas, Doorda UK Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics, and Psychographic Data: Consumer Insight into Behavioral Habits and Interests.. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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