From defining the customer profile to finding companies, confirming contacts, and checking the list, Velros AI hands you a clean list ready to work.
It compares the deals you've won with the ones you've lost and organizes candidate criteria for your ideal customer.
A small business has no one whose job is building the list. A salesperson digs through search results and a stack of business cards, and who makes the cut is different from person to person. A list gathered that way goes stale on its own. A B2B marketing database decays about 2.1% a month and 22.5% a year as contacts change jobs, move teams, or shut down. Mix stale contacts into a list built with no standard, and half the outreach misfires before it even starts.
We gather the work as it actually arrives, and record what each step is judged against.
Put won deals and lost deals side by side and pull the shared traits in industry, size, and timing signals to draft candidate criteria. You work back from real outcomes, not guesses.
Find companies that fit from public company records, news, and filings, confirm the legal entity by its registration and domain, and attach the source links.
Separate the working contact from the approver and keep only public points of contact. We don't collect private personal details or personal contact numbers gathered without consent.
Check against current customers, live deals, and past declines to strip duplicates, and leave anything unconfirmed marked "not verified" rather than filling it in.
Sort fit and urgency into high, medium, and low and attach the reason for each grade. Lower grades aren't discarded; they go to a nurture queue.
We settle the exceptions that actually come up before they do. When a rule doesn't fit, we don't force it through. It goes to a person, with the evidence.
Confirm it by cross-checking registration number, domain, and location three ways, and if it still can't be confirmed, hand it to a person to decide. We don't pick at random.
We don't fill the profile by guessing; we mark it "not verified" and replace it with a list of questions to ask on the first call.
Take it out of new outreach and send a notice to whoever owns the existing relationship.
Anything touching money, contracts, personal data, or the brand is drafted and no further. It sends only after a person approves.
US privacy rules and state laws like the CCPA and CPRA expect a lawful basis, a notice at collection, and minimization. Collecting without one creates legal exposure.
It costs money, and the buyer carries the responsibility for the legality of purchased data.
Locking the list is locking who gets contacted. Selling time and the brand both ride on it.
Change the criteria and the shape of every later list changes.
How you know it worked
A B2B database decays about 2.1% a month and 22.5% a year (HubSpot / MarketingSherpa)
A list starts aging the moment it's built. That's why verification is a cycle, not a one-time job.
Keep the difference in traits between companies that replied and companies that declined, so the next list's criteria narrow.
It's the evidence that blanks weren't filled by guessing. If this value is zero, be suspicious instead.
US law has no single federal privacy statute, and state laws like the CCPA and CPRA turn on a notice at collection and reasonable limits on what you collect. At the list stage we mark up front whether each point of contact can be used lawfully, and where cold outreach is marketing, the marketing-message rules follow. Email is opt-out under CAN-SPAM with accurate headers, ad identification, a valid physical postal address, and opt-out honored within 10 business days, while marketing SMS is opt-in under the TCPA with prior express written consent.
Once the scattered checks and repeat replies are drafted and sorted, your staff can spend the day on review and exceptions, and you look only at the decisions that matter.
Get an assessmentA salesperson digs through searches and a stack of business cards to build the list, and everyone has a different idea of who belongs on it.
A list of companies and contacts that fit your ideal-customer profile comes up already deduplicated and verified.
The things people actually check first about Building a target customer list.
We use only the points of contact a company has published itself, its main email, its hiring or inquiry channel, a public profile. Personal contact details collected without consent don't go on the list, and we keep the source of every item so it can be checked.
You start with candidate criteria pulled from won and lost deals. As replies and declines pile up, the results correct the criteria. The standard lives as an editable document, not as code.
Reply rate
Cold outreach schedule can be joined up the same way, on the channels you already use, from intake through to the approval queue.
On-time publishing rate
Content publishing pipeline can be joined up the same way, on the channels you already use, from intake through to the approval queue.
Search traffic
Search traffic check can be joined up the same way, on the channels you already use, from intake through to the approval queue.
Inquiries, bookings, quotes, order updates. You can compare the work that keeps a person busy, side by side.
