B2B 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 B2B audience cohorts.

Use this dataset to understand occupation-level characteristics about a given location within the United States. Within this dataset, you'll find indices for assorted job types and industries 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
- B2B

INCLUDED FIELDS:
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_BANKING
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_ENGINEERING
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_ENTREPRENEURSHIP
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_INVESTMENT_BANKING
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_NURSING
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_ONLINE_BANKING
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_ONLINE_DIGITAL_MARKETING
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_PERSONAL_FINANCE
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_PERSONAL_FINANCE_CREDIT_CARDS
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_PERSONAL_FINANCE_INSURANCE
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_PERSONAL_FINANCE_INVESTMENT
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_PERSONAL_FINANCE_MORTGAGE_LOANS
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_REAL_ESTATE
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_RETAIL_
- SOCIAL_INTEREST_BUSINESS_AND_INDUSTRY_RETAIL_BANKING

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，提供美国邮政区号层级的B2B受众群体分析，涵盖职业类型、行业兴趣指数及人口统计特征，适用于媒体激活、数据增强等商业场景。包含POSTAL_CODES和B2B两表，涉及金融、房地产等行业的社交兴趣指标及收入、房产价值等人口统计字段。