Top Rated Plus Matt (Matiss O.) · Creavio

Cold outbound that lands in the inbox and gets answered.

I build the whole outbound machine: lists pulled from real buying signals, verified contacts, warmed sending infrastructure, copy that reads like a person wrote it, and the automations that catch every reply.

$212K+ billed across 115 Upwork contracts
$212K+
billed on Upwork
50+
outbound clients
3,000+
inboxes managed
800K+
emails in featured campaigns
Results

Replies, not open rates. A few threads worth reading.

Re: global events brand
341K
emails sent
1,300+
positive replies

A full outbound engine for an international events brand: audience sourcing, a 30,000-contact verification pass, and sending infrastructure built to carry the volume.

InstantlyLeadMagicInfra at scale
Re: retail business390K sends
10%+ reply rate

Double-digit reply rates held across a 390,000-email campaign.

Re: agency30 days
266

Interested leads from 72K emails, 4.6% reply rate.

Re: B2B SaaS35 days
100+

Deal opportunities in the first 35 days.

Re: influencer app, Mexico
4.0%

Genuine positive replies from 500 creators, 0 bounces. Beat the client's pilots in two other countries.

Re: financial advisor lead gen
17

Opportunities from 8,418 sends to a list built off a 231K-row public license registry.

Re: solar lead engine, Australiaautomation
$9.24 for a full run

6,575 Meta ads scanned down to 86 verified decision-makers at 38 qualified companies. An 8-stage pipeline that runs weekly on its own.

Meta Ad LibraryGitHub ActionsCloudflare
Re: podcast ad studiosignal list
2,669 verified contacts

At 1,233 brands actively running Meta ads, so every email opens with something true about their current ads.

Ad signalEmail waterfallCatch-all rescue

Client names withheld. Figures come from campaign analytics and Upwork records.

Industries

Different buyers, same discipline.

SaaS and software

High-volume lead gen up to 100K emails a month, help-desk and time-tracking tools, AI sales intelligence.

DTC and retail brands

Recruiting independent retailers and stockists for consumer brands, wholesale outreach.

Cybersecurity and MSSP

200-mailbox infrastructure builds, public-sector and MSP-partner lanes.

Financial services

Advisors, insurance agents, fractional CFO and COO firms. Regulated copy, no loose claims.

Construction and trades

Contractors, specialty trades, home improvement, construction tech, facilities.

Agencies and media

Marketing agencies, podcast advertising, white-label outbound, creator economy apps.

Manufacturing and hardware

Industrial distributors, CNC, plastics, metal fab, food and beverage, product studios.

Local and real-world

Solar installers, restaurant groups, property management acquisitions, events, education.

Workflows

Every campaign runs the same seven steps.

The steps stay fixed. The signal, the data source and the angle change for each client.

STEP 1

Signal

Who has a reason to buy now: ads, hiring, funding, licenses.

STEP 2

List

Companies and decision-makers from the cheapest source that covers it.

STEP 3

Verify

Email waterfall plus strict verification. Catch-alls resolved, not guessed.

STEP 4

Qualify

AI yes/no gates on ICP, title and size, spot-checked by hand.

STEP 5

Write

Plain text, one idea per email, several angles tested at once.

STEP 6

Launch

Warmed mailboxes, ramped volume, every setting read back.

STEP 7

Reply

Replies classified and routed to Slack or CRM with a draft ready.

Systems I have built

Ad library signal engine

Finds brands actively spending on Meta ads, scores them, then finds and verifies the owner.

6,575 ads→86 verified contacts

Public-data sourcing

License registries, federal contract awards and trade registries turned into clean lead lists.

231K rows→44K qualified

Hiring and funding signals

LinkedIn job posts, Kickstarter raises and funding rounds matched to the right buyer.

job posts, raises→timed openers

Catch-all rescue

Accept-all domains usually get thrown away. A second verification pass recovers most of them safely.

856 catch-alls→796 sendable (93%)

Spam placement audit

A seed inbox subscribes to store newsletters and records where they land, plus SPF and DMARC faults.

71,777 stores→fixable faults

Reply automations

Cloudflare Workers that tag replies, alert Slack, push leads into GoHighLevel and draft the answer.

new reply→alert + draft

LinkedIn DM pipeline

Finds companies posting about hiring SDRs, qualifies the poster, writes a 3-touch sequence daily.

~200 posts/day→15-25 leads

Deliverability audits

Workspace-wide teardown of infrastructure, data quality and copy, with a ranked fix list.

1,120 mailboxes→root cause

Pre-launch QA

Scripts that lint copy for spam words and broken spintax and read back every sequence before a send.

campaign→go / no-go
Stack

Tools I run every week.

Sending

  • Instantly
  • Smartlead
  • HeyReach
  • SendPilot
  • Google Workspace
  • Outlook

Data and signals

  • Apollo
  • Clay
  • Apify
  • DiscoLike
  • StoreLeads
  • Meta Ad Library
  • Google Maps

Verification

  • Findymail
  • LeadMagic
  • Reoon
  • BounceBan
  • MillionVerifier

Automation and AI

  • Cloudflare Workers
  • GitHub Actions
  • Make
  • GoHighLevel
  • HubSpot
  • Claude
  • Python
House rules

What protects your domains.

2+ weeks

Warmup first

No cold send before two weeks of warmup, four when the calendar allows.

8 → 15 → 20 / day

Ramped volume

Each mailbox climbs over three weeks, and only while bounce stays under 2%.

verified only

Clean data

No unverified or raw catch-all address ever gets sent.

plain text

Built to look human

No tracking pixels, no links in email one, a clear opt-out on every sequence.

real claims

Provable copy

Numbers in copy are verified floors. If it cannot be proven, it does not ship.

read-back

Checked twice

Every sequence and setting is verified on the platform before launch and in the first hour.

Tell me who you sell to.

I will come back with the signal I would use, how many contacts it produces, and the first email I would send. Contracts run through Upwork.

Hire me on Upwork