Company-Linked Business Contact Data with Location Information

Your Pipeline Lives at a Specific Address

Company-Linked Business Contact Data with Location Information pairs person-level contacts with company size, revenue, industry, and geography so your team reaches the right person at the right company in the right territory. Stop building lists from three disconnected sources and start running campaigns the day you access the data.

Isometric white geographic platform with blue routes, contact markers, territory boundaries, floating data cards, and connected business-location systems.
At a Glance

The Data Behind the Decision

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Countries of geographic coverage
Person-Level
Contacts linked to company records
WGS84
Coordinates for territory mapping
Buy by Geography

Stop buying the whole country. Buy just your markets.

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.

Book a Meeting

See Your Territory in the Data

The Problem

Cold Outreach Without Location Context Fails

Inside sales teams are stitching together contact lists, firmographic enrichment, and territory maps from tools that were never designed to work together. The result is reps spending hours on research that should take seconds, campaigns that miss geographic boundaries, and pipeline that looks healthy until you realize half the contacts belong in the wrong territory.

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Fragmented Contact and Firmographic Data
When contact records and company attributes live in separate systems, enrichment gaps are inevitable. Reps either skip context entirely or manually cross-reference records, burning time that should go toward outreach.
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Territory Assignments Done by Guesswork
Without precise location data tied to contacts, territory assignment becomes a spreadsheet exercise based on zip codes and state names. Misassigned leads create friction between reps and erode trust in the data.
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Campaigns That Cannot Scale Geographically
Demand generation teams that cannot spatially filter their contact universe cannot run local campaigns with confidence. You end up over-spending in some markets and completely missing others.
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Stale Lists That Burn Sender Reputation
Outdated contact data does not just waste sequences. It drives up bounce rates, triggers spam filters, and quietly degrades the deliverability that your entire outbound motion depends on.
What Is In The Dataset

Firmographic Depth Meets Spatial Precision

Company-Linked Contact Records

Every person-level contact arrives pre-linked to company size, revenue range, and industry so your team can filter, score, and sequence without a separate enrichment step.

Geographic Coordinates Per Contact

Location data tied to each record enables true spatial targeting. Assign contacts to local reps by drawing a territory boundary, not by guessing at zip code ranges.

Industry and Revenue Segmentation

Filter your addressable universe by vertical and company revenue band before a single email goes out. Build sequences calibrated to the actual economic profile of the company, not a generic persona.

Source Attribution and Reference Integrity

Every record carries source-year attribution so you know the vintage of what you are sending into a sequence. No black-box lists. No mystery about when data was last verified.

Let's talk
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The world's spatial data is more accessible than you think. Let's show you how close you already are.
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You already have the questions. We have the data. Let's see what happens when they meet.
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The where in your business is more important than you think. Let's find it together.
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Most spatial data conversations start with a problem nobody thought was solvable. What is yours?
BigGeo AI

Ask Your Territory Questions in Plain Language, Get Governed Answers

BigGeo AI is live inside ChatGPT today and shipping in Claude, giving your team direct access to governed contact and firmographic data through the tools they already use. Instead of pulling a list, filtering in a spreadsheet, and handing it to an analyst, a rep or demand gen manager can ask a plain-language question and get a precise, data-grounded answer in seconds, with no GIS software and no specialist required.

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Show me all mid-market manufacturing contacts within 50 miles of our Chicago office
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Which industries have the highest contact density in the Pacific Northwest by revenue band?
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Find logistics company contacts in counties where we have no active opportunities this quarter
FAQ

Frequently asked questions

How current is the contact data, and how do I know it has not gone stale?
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Can I use this data to assign contacts to specific sales reps by territory without a GIS team?
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How does this dataset handle company firmographics, and are revenue and size bands reliable enough to use for scoring?
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How do I get this data into the tools my team already uses?
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What is the fastest way to get a sample and see if this data fits our market?
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