Find Business Contacts

Every page below covers a specific audience we build lists for. Pick your target, and the page walks through where the data comes from, what fields you get, and what a typical list looks like for that industry. If you already know who you need to reach, skip the reading and send us the target criteria. We'll scope the list and quote a flat charge.

You get a file you own forever, priced per project, with no subscription attached.

Why buy a list instead of pulling one from a database tool yourself? Coverage. Database platforms skew toward companies with big web footprints, which means they're thin exactly where most of our clients hunt: small practices, local businesses, and owner-operated companies. A small dental practice with a limited web footprint may be missed by a broad commercial database. Coverage should be tested against a representative sample; state licensing records are one source we use for this segment.

How does custom list building work?

You send us the target criteria and we do the rest. Verum provides a written, scope-specific charge and schedule after reviewing the records, requested checks, exception rules, and delivery format. No work starts until you approve both.

The build itself runs in three passes. First we assemble the universe, pulling each business that matches your criteria from licensing boards, registries, directories, and web data. Second we identify the decision-maker at each one, which usually means ownership research rather than title matching, because "office manager" in a database is rarely the person who buys. Third we find and verify contact info. Each email goes through verification before delivery, and anything that fails gets researched again or dropped from the billable count.

That last pass is what separates a built list from a downloaded one. Measure change against a dated baseline instead of applying a general decay benchmark, then set the review cadence from the changes observed in your own system.

What fields come with each list?

The standard record has three layers. You can add or drop fields at scoping, and we only bill for records that meet the bar you set.

Layer	Fields
Business	Company name, address, phone, website, industry
Decision-maker	Owner or principal name, title, LinkedIn URL where available
Contact	Verified email, direct dial where available
Optional add-ons	Employee count, revenue estimate, specialty, tech stack, years in business

Delivery is a CSV, or we load it straight into your CRM, whichever you prefer. If the file is feeding Salesforce or HubSpot, tell us at scoping and we'll match your field names and picklist values so the import doesn't create a cleanup project. We wrote up what that cleanup looks like when it goes wrong in our guide to CRM hygiene.

Should you build a list or buy a database subscription?

Depends on what you sell and to whom. If your buyers are leaders at well-documented technology companies, a self-serve database may provide useful year-round access. Test coverage and calculate the current quoted subscription spend against the number of segments your team expects to pull.

If your buyers are practice owners, franchisees, or local operators, sample coverage before committing to a platform. A custom list can target the defined market as a scoped project. In either model, confirm data-use, retention, and termination terms in the written agreement.

Compare the delivered fields as well as record coverage. A larger inventory is not useful when it omits the location, specialty, ownership, or provenance needed for segmentation. Score the same sample against the same eligibility rules, needed fields, verification date, and exception policy so the decision reflects usable records.

One more difference worth knowing before you commit either way: databases sell you their existing inventory, while a list build starts from your definition of the market. If you've never sized that market, our data enrichment guide covers how firmographic fields turn a raw company list into something you can segment. And if you already have a list that's underperforming, data validation is usually cheaper than replacing it.