Alesco New Homeowner Data gives ISP, cable, and wireless teams a monthly feed of 208K+ verified addresses of people who purchased a home in the last 30 days. For the first time, you can identify and contact every new homeowner in your service footprint before they call someone else.

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.

New homeowners make their broadband, cable, and wireless decisions within the first few weeks of moving in. By the time most ISPs identify an available address and act on it, the household has already signed with someone else. You are not losing on price or product. You are losing on timing.
Every record represents a home purchase completed within the last 30 days. You are contacting households at peak buying intent, before any provider has locked them in.

The file grows by over 700,000 records every month across the US. Whether you serve a single metro or a multistate footprint, the volume supports consistent pipeline generation at scale.

Records are assembled from newspaper listings, online platforms, direct mail responses, telemarketing data, and proprietary sources. Multi-source compilation reduces gaps that single-feed datasets routinely miss.

A monthly feed structure means your campaigns stay current without manual refresh cycles. Network ops and marketing can align outreach cadences to the same live signal.

BigGeo AI works inside ChatGPT and Claude today, letting your network engineers, project managers, and account teams ask plain-language questions against Alesco New Homeowner Data without a GIS analyst or a custom data pull. Instead of waiting for ops to run a coverage overlap, you can identify every new homeowner in your serviceable footprint, ranked by density and move date, in the time it takes to type a question.
Most new-mover lists are compiled and delivered on a lag, often 60 to 90 days behind the actual move event. Alesco New Homeowner Data is capped at 30 days from purchase date, which means you are reaching households before the broadband and cable decision closes. The monthly feed structure also means your pipeline does not go stale between campaigns.
That is exactly what BigGeo is built for. Every Alesco record lives on a spatial grid inside the platform, so you can filter by your exact service territory boundary, whether that is a county, a zip code polygon, or a custom coverage shapefile you upload to DataLab. You only pay attention to the addresses you can actually serve.
The file is refreshed monthly and adds over 700,000 new records per cycle. Source inputs include national home-listing publications, major online listing platforms, direct mail and telemarketing responses, and proprietary channels. Multi-source compilation is specifically designed to reduce the coverage gaps that single-feed products leave behind.
Once you access the dataset through BigGeo Marketplace, it lives in DataLab where it can be combined with your own network coverage layers, existing customer records, or third-party appends. From there, outputs can be activated into your CRM, campaign platform, or field ops workflow. No GIS software required on your end.
Request a sample and BigGeo will walk you through exactly which records fall inside your service footprint before you commit to anything. Most teams go from sample to first campaign-ready export within a few days. Book a 30-minute call and we will run a live coverage overlap against your territory so you leave with a concrete number, not a pitch deck.