Entertainment and Interest Data

Goldfish Ads is changing the way data is compiled and used in a privacy-first world. Without ever touching any PII or using any cookies in any way, our first-of-its-kind algorithm clusters audiences into cohorts in ways not possible prior.

This is a complete dataset for Entertainment and Interest-based audience cohorts.

Use this dataset to understand Entertainment and interest-based characteristics about a given location within the United States. Within this dataset, you'll find indices for types of games, live events, content, and experiences those in a given location are interested in broken out at the postal code level.

Potential use cases for leveraging this type of data could include: Activating Media, Enriching existing datasets, and personalizing user experiences.

Find Data Dictionary here: https://www.goldfishads.com/dataset-examples

INCLUDED TABLES:
- ENTERTAINMENT_AND_INTERESTS_BY_COUNTY

INCLUDED FIELDS:
- SOCIAL_INTEREST_CANNABIS
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_CARD_GAMES
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_CASINO_GAMES
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_FIRST_PERSON_SHOOTER
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_GAMBLING
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_ONLINE_POKER
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_SHOOTER_GAMES
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_SIMULATION_GAMES
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_SPORTS_GAMES
- SOCIAL_INTEREST_ENTERTAINMENT_GAMES_VIDEO_GAMES
- SOCIAL_INTEREST_ENTERTAINMENT_LIVE_EVENTS_BAR
- SOCIAL_INTEREST_ENTERTAINMENT_LIVE_EVENTS_CONCERTS
- SOCIAL_INTEREST_ENTERTAINMENT_LIVE_EVENTS_MUSIC_FESTIVALS
- SOCIAL_INTEREST_ENTERTAINMENT_LIVE_EVENTS_NIGHTCLUBS
- SOCIAL_INTEREST_ENTERTAINMENT_LIVE_EVENTS_PARTIES
- SOCIAL_INTEREST_ENTERTAINMENT_MUSIC
- SOCIAL_INTEREST_ENTERTAINMENT_READING_LITERATURE
- SOCIAL_INTEREST_FAMILY_AND_RELATIONSHIP_FATHERHOOD
- SOCIAL_INTEREST_FAMILY_AND_RELATIONSHIP_MOTHERHOOD
- SOCIAL_INTEREST_HOBBIES_AND_INTEREST_POLITICAL_AND_SOCIAL_ISSUES
- SOCIAL_INTEREST_HOBBIES_AND_INTEREST_POLITICAL_AND_SOCIAL_ISSUES_POLITICS
- SOCIAL_INTEREST_HOBBIES_AND_INTEREST_POLITICAL_AND_SOCIAL_ISSUES_SUSTAINABILITY
- SOCIAL_INTEREST_HOBBIES_AND_INTEREST_TRAVEL
- SOCIAL_INTEREST_HOBBIES_AND_INTEREST_TRAVEL_VACATIONS

As well as the following fields from our Demographics dataset.

ADDITIONAL FIELDS:
- ETHNICITY_AMERICAN_INDIAN_OR_ALASKAN_NATIVE
- ETHNICITY_ASIAN
- ETHNICITY_BLACK_OR_AFRICAN_AMERICAN
- ETHNICITY_HISPANIC_LATINO
- ETHNICITY_NATIVE_HAWAIIAN_OR_PACIFIC_ISLANDER
- ETHNICITY_OTHER_RACE_NOT_LISTED
- ETHNICITY_TWO_OR_MORE_RACES
- ETHNICITY_WHITE
- HOUSEHOLD_INCOME_100K_150K
- HOUSEHOLD_INCOME_150K_200K
- HOUSEHOLD_INCOME_200K_PLUS
- HOUSEHOLD_INCOME_50K_100K
- HOUSEHOLD_INCOME_LESS_THAN_50K
- LANGUAGE_SPANISH
- PROPERTY_VALUE_100K_250K
- PROPERTY_VALUE_1MM_TO_1_POINT_5MM
- PROPERTY_VALUE_1_POINT_5MM_TO_2MM
- PROPERTY_VALUE_250K_500K
- PROPERTY_VALUE_2MM_PLUS
- PROPERTY_VALUE_500K_750K
- PROPERTY_VALUE_750K_1MM
- PROPERTY_VALUE_LESS_THAN_100K

搜集汇总

背景与挑战

背景概述

该数据集采用隐私优先的算法，在不使用个人身份信息或Cookie的情况下，对美国邮政编码级别的娱乐和兴趣受众群体进行聚类分析。它包含游戏、现场活动、内容偏好及人口统计等字段，可用于媒体激活、数据丰富和个性化体验等场景。