The Household Consumer Marketing Profiles dataset delivers household-level demographics, hundreds of behavioral flags, propensity scores, and match confidence metadata so your direct mail and omnichannel campaigns reach the right door, not just the right zip code. For the first time, you can build, score, and activate a verified audience segment without a single data append request to an outside vendor.

Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.
A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.

Direct marketers know their offer is good. The list is where campaigns die. Fragmented data sources, stale contact records, and audience segments built on guesswork produce low match rates and lower ROI — and no one in the room can explain exactly why the last campaign missed. You are not running a bad campaign. You are running it on bad data.
Multiple phone lines, email addresses, and do-not-call flags per record mean you can suppress, prioritize, and route each household to the right channel before a single piece goes to print or deployment.

Interest flags covering hobbies, travel, purchase patterns, and lifestyle give you the signal depth to build personalization that reflects what a household actually does, not just how old they are or what they earn.

Built-in match confidence scores let you tier your list by reliability, prioritize high-confidence records for premium spend, and flag low-confidence records for suppression or verification before campaign launch.

Coordinates, census block, and DMA identifiers let you define true trade areas, weight spend by geographic market potential, and join household records directly to property and parcel data for deeper context.

BigGeo AI is live in ChatGPT today and shipping in Claude, giving your team direct access to governed, real-data answers grounded in the Household Consumer Marketing Profiles dataset, no GIS analyst required and no data pull ticket to file. Ask which census blocks in your target DMA contain the highest concentration of households matching your propensity threshold, then layer in income band and interest flags, all in one plain-language conversation. What used to take a data scientist two days now takes two minutes.
Freshness details are confirmed during the data sample and access process, and the dataset provider, Geopoint Data, maintains update cycles aligned to direct marketing use. When you request a sample through BigGeo, you get the current version of the data and can confirm update cadence directly before any commitment.
This dataset is not a replacement for your CRM. It is the enrichment layer your CRM was never designed to carry. Hundreds of behavioral flags, propensity scores, and confidence metadata are not fields your transaction history produces. Once the data lives in BigGeo's DataLab, you can join it to your existing records and your CRM gets the signal depth it has always lacked.
Every record includes match and confidence metadata built in, not bolted on after the fact. That means you can tier your list by confidence score before campaign launch, suppress low-confidence records from premium placements, and know exactly what percentage of your spend is going to verified, high-quality households.
Once accessed through BigGeo, the dataset lives in DataLab where it can be queried, filtered, and exported in the format your downstream tools expect. For teams that want to run spatial analysis or join to property and parcel data, that join is pre-mapped using the ad1key and ad2key fields, so it is a single query, not a data engineering project.
Request a sample filtered to your target geography and audience criteria. BigGeo processes sample requests quickly so you can validate match rates, field coverage, and signal depth against your actual campaign requirements before making any purchase decision. The meeting option below gets you a walkthrough of the dataset against your use case in 30 minutes.