OUTBOUND Cold email on public records and hiring signals, run for you or built for your team
Real rows. Real replies.

Your best buyers aren't in Apollo. We find them anyway.

They're in permits, licenses, program data, filings, job postings and the tools a company runs on its own website. RealRows finds them there, verifies the decision maker on every row, and runs the cold email for you, or builds the system so your team runs it.

Every row keeps its sourceEmails verified, catch-alls probedOpt-out by reply in every email
realrows / your-market.sheet
LIVE
First line, written from the record
Illustration with sample rows. A real example with public data is below.
Sources we've pulled buyers from
●NY-Sun solar program data●CA interconnection data●City building permits●Texas TDLR filings●OSHA injury logs●SEC EDGAR filings●DNS and MX records●Accreditation registers●US Dept. of Education (IPEDS)●State DOT bidder lists●UK Companies House●German commercial register●Job postings
01 · The edge

Everyone emails the same list. Your prospects notice.

Sales databases are great at people who live on LinkedIn. Installers, contractors, nursing homes, carriers and local operators mostly don't. Their owners show up in public records instead, with a date, a volume and a reason to talk. That's where I build your list.

The database listIGNORED
Title = "Owner" · Industry = "Construction" · thousands of results

"Hi {first_name}, I came across {company} and wanted to reach out about how we help businesses like yours..."

  • Same export your competitors bought
  • No reason to write, so no reason to reply
  • Stale roles, guessed emails, bounces that hurt your domain
A RealRows rowRELEVANT
NY-SUN · 38 installs since Jan · 4% on your panels · active last 90 days

"You installed 38 systems on Long Island this year and almost none with our panels. Is that price, availability or just habit?"

  • Found in a record, not bought from a vendor
  • A first line only this prospect can receive
  • Decision maker verified, catch-all domains probed, not guessed
Built for
  • HubSpot partner agencies that want pipeline from hiring and tech signals, sent from their own mailboxes
  • Healthcare staffing firms selling to nursing homes and clinics
  • Vendors to trucking companies: factoring, insurance, telematics, TMS
  • Solar and equipment brands selling through installers and contractors
  • Anyone whose buyer is a local operator, not a LinkedIn user
Not for
  • Companies happy with the replies their database export already gets
  • Anyone who needs 500 emails a day from week one
  • Consumer offers, or markets without a usable public record
02 · Real example, public data

Finding installers for a solar panel brand.

New York publishes every incentivized solar project with the installer, the panel brand and the system size. I joined it with the state business registry, left out the national chains, and asked one question for one brand: who installs a lot, but not your panels?

17,510
NY-Sun projects since Jan 2025
222
installers behind them
5,402
projects by the five installers below
Prospect map · "Brand X" · New York
source NYSERDA NY-Sun, data.ny.gov · data as of Sep 4, 2026
Installer
Projects
Brand X
kW DC
Panels they use instead
Installer 01
1,977
0
20,991
Jinko · JA Solar · REC
Installer 02
933
2
8,091
REC · CSI Solar · SunPower
Installer 03
913
0
11,880
REC · HD Hyundai · JA Solar
Installer 04
791
0
5,642
Qcells · REC · SEG Solar
Installer 05
788
0
10,127
SEG Solar · REC · Jinko
Installer names hidden on this page. Your map shows them, with the decision maker and a verified email.1 row = 1 project

5,402 projects. 2 with Brand X panels. That's not a list. That's a sales plan.

The data is public. Anyone could do this; almost nobody does. The work is in the join, the filters and an email that makes sense to the installer who reads it.

03 · How it works

From public record to booked meeting.

01 FIND

Find where your buyers leave a trace

Permits, licenses, program data, filings, hiring. We pick the sources that show your buyer at the moment they need you.

02 BUILD

Turn records into rows

Every record becomes a company, a decision maker, a verified email and the reason to write. Each row keeps its source.

03 SEND

Send from clean infrastructure

Dedicated domains, SPF, DKIM and DMARC, a slow ramp, plain-text emails without tracking links, and a first line written from the record.

04 HAND OFF

Replies land with you

Replies triaged the same day. Interested prospects go to your calendar or CRM; bounces and opt-outs are handled.

04 · Pricing

Start with a free list. Then a pilot, or the system itself.

Step 1 · Free

The list

$0
In your inbox within 24 hours
  • Buyers in one state, pulled from the public record for your niche
  • Source and decision maker on every row
  • Yours to keep, no call required
Request your list
Step 2 · 30 days

Pilot

$1,500$2,500
Everything included, no commitment after day 30
  • Sending domains and mailboxes set up and authenticated
  • One niche list built from the source, every row with its record
  • Sequence written, about 1,000 emails sent on a slow ramp
  • Replies triaged the same day, interested prospects handed to you
  • Domains, mailboxes and data included
Book a call
Step 3 · Fixed scope

The system, handed over

Fixed price · on the call
Set up in 60 days, runs on your own mailboxes
  • Trigger source wired up: hiring, permits, filings or the tools on a prospect's website
  • Dedicated domains and mailboxes, authenticated and ramped
  • Sequence written, first emails drafted from the record
  • Replies, bounces and opt-outs land in your HubSpot or CRM
  • Runbook and handover, so your team runs it without me
Book a call

Founding prices for the first three firms per niche, in exchange for a case study. The struck price is the list price after that. Ongoing operation after the pilot is available by agreement.

Guarantee 01

New accounts, or the pilot is free.

Send me your CRM export before we start. If fewer than half of the target accounts are new to you, you don't pay for the pilot.

Guarantee 02

Every row keeps its source.

A row without a public record behind it and a verified decision maker on it doesn't go out. You can check any row against its source before the first email.

Guarantee 03

First emails within 10 business days.

From kickoff. If the first email isn't out by then, your first month is half price.

Guarantee 04

One client per territory.

Healthcare staffing: one firm per state. Other niches: one per product category and region. Your playbook never runs for your competitor.

05 · Recent work

Systems handed over. Lists nobody could buy.

LiveLogistics · South Korea
Handed overlive since Sept 2026

A cross-border outbound engine for Shippido LLC: store lists flow into a sheet, each email is drafted in Korean, and every reply and bounce flows back. Built from zero in five weeks.

Built and handed over: sheet pipeline, AI drafts, dedicated mailboxes, reply sync, bounce gate, runbook
DeliveredConstruction · Germany
2,398verified decision-maker emails

Decision-maker database for 400 German general contractors and developers, up to 11 roles per company.

Source: commercial register and company imprints, not a sales database
DeliveredEducation · US
1,277accredited schools

Beauty and barber schools from the national accreditor's register, with owners and, where they exist, verified contacts.

Source: the accreditor's own register, matched to federal education data
"So far, among all replies, everyone is interested."
CEO, Shippido LLC · Seoul · on the first weeks of the campaign
What Shippido got
  • Store list from their own sources, deduplicated and checked live
  • Three-step sequence in Korean, drafted per store, reviewed in a sheet
  • Four mailboxes on dedicated domains, warmed and authenticated
  • Every reply, bounce and status back in the sheet, plus a runbook to run it themselves
Michael Fenzl
06 · Who you work with

One operator. No juniors, no list factory.

I'm Michael Fenzl. I build the data pipelines and run the campaigns myself, from Vienna, Austria, on US business hours for your prospects. You talk to the person who finds your buyers, writes your emails and reads your replies.

"Michael did outstanding work on our B2B lead generation. His precision and efficiency impressed us. We will definitely work with him again."
Prädium GmbH, Switzerland · translated from German
07 · Questions

The five things people ask first.

Why not just use Apollo or ZoomInfo?

Those databases are built from LinkedIn and web crawls. Installers, nursing homes, carriers and local operators are thin there, and the same rows get sold to everyone. Public records list the actual operators, with a date and a volume, and they are updated when the operator does something, not when a crawler runs.

How do you verify emails?

Every address goes through a verification provider. Domains that accept any address get a second probe with a made-up address, so we know the domain is catch-all and treat the row accordingly. Risky addresses are held back. The target is a bounce rate under two percent, because bounces damage the sending domain.

What happens to my domain reputation?

Nothing, because we never send from your main domain. Each client gets dedicated sending domains and mailboxes, authenticated with SPF, DKIM and DMARC, ramped slowly, plain text, no tracking links. If a mailbox crosses two percent bounces, it pauses.

How long am I committed?

The pilot is 30 days with no further commitment. The fixed-scope build ends with the handover. Ongoing work, if you want it, runs in three-month terms with a weekly report.

Is this compliant?

Every email names the sender and offers an opt-out by reply; our postal address and legal notice are one click away on the sending domain and on the legal page. RealRows is operated from Austria, so GDPR applies to how we handle data: every row has a documented source, and opt-outs are honored immediately. Details are on the legal and privacy page.

Let's find your first rows.

Tell me what you sell and where. Within 24 hours you get a free list of buyers from the public record for one state, each row with its source. If the data isn't there for your market, I'll say so.