I build outbound systems that fill the sales pipeline.

Problem

The business needed more booked calls than one outbound channel could produce on its own, and needed them arriving steadily rather than in bursts.

How I solved it

Two outbound channels feeding one booking layer — cold email on dedicated warmed infrastructure, LinkedIn on a managed account, both routed into GoHighLevel for capture, follow-up and booking. Booking source splits at the calendar layer, so channel performance stays readable at the pipeline stage.

Problem

LinkedIn was the channel to add for more bookings, but it limits how much an account can do in a day and restricts the ones that push past that — so the volume had to come from inside that ceiling rather than from sending more.

How I solved it

Campaigns run in LinkedCamp against one managed account, with timezone-targeted sending and staged connection sequences, replies routed into the CRM. Daily invite volume deliberately held near 24 — under the level where LinkedIn starts restricting accounts.

Problem

GoHighLevel knows that a person booked a call, but it cannot detect whether the person attended the call or not.

How I solved it

I built an attendance system. It waits 40 minutes after the scheduled booking time, then sends an attendance form link to the admin. The admin answers Showed or No-show. Other workflows depend on that answer: the workflow carries on from there, and the Showed or the No-show recovery workflow gets triggered.

Problem

Four offers, four buttons, one landing page, and all four open the same booking form. The record had to show which button a person clicked, or every lead lands in the CRM looking the same. GoHighLevel buttons do one thing only, and these were already opening the form, so there was no second action left for saving the offer. The usual way around that is to pass it in the URL, but then the page reloads on every click.

How I solved it

GoHighLevel only gives you two ways in: a custom class name on the button, and your own code in the page. So each button got its own class name, and the code checks which one was clicked and fills it into a hidden field before the form sends. One catch: writing to that field the normal way does nothing, the form still submits blank. It has to be set the way the form's own framework sets it, and then told the field changed.

Problem

Deliverability lives or dies at the sending domain, but the platform reports per mailbox and per campaign. Seeing one domain meant opening a workspace and adding up hundreds of mailboxes by hand, thirty-nine times over. Nobody did that weekly, so bad domains were found late.

How I solved it

One scheduled job reads every mailbox across all 39 workspaces, groups them into sending domains and reports the ones carrying real volume — into the spreadsheet the team already works in, and a dashboard behind a login. It runs unattended every Monday, and proves its own coverage rather than assuming it.

Problem

The agency sells for IT asset disposal companies, where everything turns on catching a business the week it closes a site or lets four hundred people go. That moment does reach public records — but across nine sources, on no particular day, buried in thousands of documents that all look the same.

How I solved it

Twenty watchers read nine sources for eleven buying events. Their own rules settle 70% of what arrives before any paid service is touched, AI reads only what needs judgement, and every lead is stored with the quote, both dates and the source link — so the first line of the email writes itself.

Problem

The agency ran outbound for several client accounts at once and needed sustained sending capacity without damaging domain reputation. On shared infrastructure, one deliverability problem takes every client down together.

How I solved it

Isolated per-client workspaces with dedicated domain pools and mailboxes — domains bought and configured in batches, full DNS authentication on each, staged warm-up schedules, inbox rotation, and continuous bounce and placement monitoring. New clients onboard against a standard template rather than a fresh build.

Problem

Leads were coming in from cold email, LinkedIn and inbound, but there was no single pipeline holding them. Follow-up was inconsistent, and there was no reliable way to tell which channel a booking came from.

How I solved it

One GoHighLevel account holds every channel. Leads get tagged with their source as they come in, each channel books on its own calendar, appointments are assigned across the coaching team, and every booking is tracked through confirmed, cancelled and rescheduled.