1datapipe | GeoLifestyle Data | B2C Intent Data | 8 Emerging Markets | 561M Verified Profiles for Segmentation & Targeting
1datapipe
No reviews yet![Badge icon]()
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
Avail. Format
.csv
File
Coverage
8
Countries
History
12
months
Data Dictionary
[Sample] 1datapipe Li Geo Sample 10 Mx
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
national_id
|
Integer | 2892932127 | |
|
id_type
|
String | CURP | |
|
names_1.name
|
String | ||
|
names_1.last_seen
|
DateTime | 2024-12-15T00:00:00+00:00 | |
|
names_2.name
|
String | ||
|
names_2.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
|
names_3.name
|
String | ||
|
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 | ||
|
emails_1.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
|
emails_2.name
|
String | ||
|
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
561M geo-tagged lifestyle profiles across 8 emerging markets for segmentation, targeting, market expansion, and predictive modeling.
GeoLifestyle Intelligence is a structured dataset combining lifestyle segmentation and high-precision geolocation data across 8 emerging markets. With 78 attributes per profile—including mobility, shopping behavior, affluence, and media habits—it enables segmentation, targeting, and predictive modeling.
➤ Optimized For:
・Market expansion and retail location planning using lifestyle and mobility insights
・Hyper-personalized marketing powered by behavior, location, and lifestyle attributes
・Audience segmentation and lookalike modeling for precise targeting at scale
・Churn prediction and retention optimization based on real-world behavioral patterns
・Urban planning and zoning strategy informed by population movement and affluence
trends
・AI training datasets for consumer behavior, geospatial modeling, and personalization
➤ Designed For:
Retailers & Consumer Brands
Identify store locations, predict foot traffic, and build data-led expansion strategies using mobility + lifestyle signals.
Marketing & AdTech Platforms
Power segmentation, lookalikes, and hyper-personalized campaigns at scale.
Urban Planners & Real Estate Firms
Track neighborhood evolution and lifestyle trends to inform valuation and development.
Telcos & Subscription Businesses
Overlay churn prediction with behavioral drivers to improve retention and targeting.
AI & Predictive Analytics Teams
Train behavioral models using real-world movement + lifestyle signals.
➤ Key Highlights:
・561M+ geo-lifestyle profiles
・8 emerging markets
・78 behavioral and lifestyle attributes per profile
・12 months of location and behavioral history
・Updated quarterly, privacy-first and compliant
・Delivery via SFTP, REST API, in .CSV format
Delivered by 1datapipe®, the global leader in structured identity and lifestyle intelligence.
Pricing and samples available upon request.
Country Coverage
Asia
(6)
Indonesia
Malaysia
Philippines
Thailand
United Arab Emirates
Vietnam
North America
(1)
Mexico
South America
(1)
Brazil
History
12 months of historical data
Volume
| 561 million | RECORDS |
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
Delivery
Methods
SFTP
REST API
Frequency
monthly
Format
.csv
Use Cases
Audience Segmentation
Market Research
Behavioral Analytics
Location-based Audience Analytics
Consumer Intelligence
Categories
Related Searches
Related Products
1datapipe | Consumer Behavior Data | 8 Emerging Markets | 561M+ Records of GeoLifestyle, Consumer Behavior and Location-Based Insights
Free sample preview
API available
Pricing available upon request
GeoPersona Brand Segments | Europe | Segmentation Data | Available Globally | GDPR-Compliant
Free sample preview
Pricing available upon request
Digital Audience Data Segments B2C - Increase your match by 3X - Programmatic Audience
Free sample preview
API available
Starts at
$300 / month
Weight Loss GLP-1 Consumer Audience Data | US Demo | Interest and Recency Based Targeting | Email, Phone, Postal, Digital, Social
Free sample preview
Pricing available upon request
Frequently asked questions
What is 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting?
561M geo-tagged lifestyle profiles across 8 emerging markets for segmentation, targeting, market expansion, and predictive modeling.
What is 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting 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 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting?
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 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting cover?
This product includes data covering 8 countries like Brazil, Mexico, Indonesia, Thailand, and UAE. 1datapipe is headquartered in United States of America.
How much does 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting cost?
Pricing information for 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting 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 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting?
Businesses can buy Location 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 GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting?
You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to 1datapipe GeoLifestyle Data B2C Intent Data 8 Emerging Markets 561M Verified Profiles for Segmentation & Targeting?
This product has 3 related products. These alternatives include 1datapipe Consumer Behavior Data 8 Emerging Markets 561M+ Records of GeoLifestyle, Consumer Behavior and Location-Based Insights, GeoPersona Brand Segments Europe Segmentation Data Available Globally GDPR-Compliant, and Digital Audience Data Segments B2C - Increase your match by 3X - Programmatic Audience. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
1datapipe
The Identity Data Moat: Exclusive. Verified. Privacy First
Verified Provider
2h
Avg. response time
100%
Response rate
Trusted by
