This household-level dataset contains individual and household contact and identity records enriched with demographics, socioeconomic indicators, lifestyle and purchase-behavior signals, and property and mortgage details. Each record includes multiple contact points, age and household composition, income and net worth estimates, credit information, hundreds of interest and purchase flags and scores, and geographic identifiers from coordinates to census block and DMA. The dataset supports targeted marketing, audience segmentation, propensity and churn modeling, campaign optimization, and geographic analysis such as market sizing, DMA targeting, and trade-area segmentation. Match and confidence metadata enable record linkage and verification workflows.

Key attributes include:

• Contact and identity signals including multiple phone lines, email, and do-not-call flags

• Demographic and household composition data with age bands and relationship breakdowns

• Socioeconomic and credit indicators including income, net worth, education, and credit scores

• Behavioral and lifestyle flags and scores covering interests, hobbies, travel, and purchase patterns

• Property and geographic identifiers, mortgage details, and match/confidence metadata

• This dataset can be joined to the National Property Parcel Dataset using property.owner_ad1key = consumer.ad1key and property.owner_ad2key = consumer.ad2key.

Marketers, analysts, and data scientists can use this dataset to build precise audience segments, improve targeting and personalization, and enrich customer profiles for campaign optimization and predictive modeling.