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
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Request Sample Access

Attribute	Type	Example
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	M
dob	DateTime	1946-07-07T00:00:00+00:00
addresses_1.address	String	Peatonal Querétaro 770 Edif. 792 , Depto. 787 San Gerardo de la Montaña, MICH 66181
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 Jordania, MICH 00597
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

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.