Food and Drink 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 Food and Drink-based audience cohorts.

Use this dataset to understand culinary-based characteristics about a given location within the United States. Within this dataset, you'll find indices for types of cuisine, restaurants, alcohol, and beverages 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:
- POSTAL_CODES
- FOOD_AND_DRINK

INCLUDED FIELDS:
- SOCIAL_INTEREST_FOOD_AND_DRINK_ALCOHOLIC_BEVERAGES
- SOCIAL_INTEREST_FOOD_AND_DRINK_ALCOHOLIC_BEVERAGES_BEER
- SOCIAL_INTEREST_FOOD_AND_DRINK_ALCOHOLIC_BEVERAGES_DISTILLED_BEVERAGE
- SOCIAL_INTEREST_FOOD_AND_DRINK_ALCOHOLIC_BEVERAGES_WINE
- SOCIAL_INTEREST_FOOD_AND_DRINK_BEVERAGES
- SOCIAL_INTEREST_FOOD_AND_DRINK_BEVERAGES_COFFEE
- SOCIAL_INTEREST_FOOD_AND_DRINK_BEVERAGES_ENERGY_DRINKS
- SOCIAL_INTEREST_FOOD_AND_DRINK_BEVERAGES_JUICE
- SOCIAL_INTEREST_FOOD_AND_DRINK_BEVERAGES_SOFT_DRINKS
- SOCIAL_INTEREST_FOOD_AND_DRINK_BEVERAGES_TEA
- SOCIAL_INTEREST_FOOD_AND_DRINK_FOOD_VEGANISM
- SOCIAL_INTEREST_FOOD_AND_DRINK_FOOD_VEGETARIANISM
- SOCIAL_INTEREST_FOOD_AND_DRINK_RESTAURANTS
- SOCIAL_INTEREST_FOOD_AND_DRINK_RESTAURANTS_COFFEEHOUSES
- SOCIAL_INTEREST_FOOD_AND_DRINK_RESTAURANTS_DINERS
- SOCIAL_INTEREST_FOOD_AND_DRINK_RESTAURANTS_FAST_CASUAL
- SOCIAL_INTEREST_FOOD_AND_DRINK_RESTAURANTS_FAST_FOOD

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算法构建，提供美国邮政编码级别的食品饮料消费群体画像，涵盖餐饮偏好、酒水消费等细分指标，并整合人口统计特征，适用于精准营销和用户行为分析等场景。