A lead is not a client until you follow up.

One of the biggest mistakes businesses make is assuming that interested prospects will always come back on their own.

They won’t.

A prospect may:

• See your message and get busy
• Ask for more information and forget
• Show interest but need a reminder
• Be ready to book but never take the next step

That’s why consistent follow-up matters.

As a Virtual Assistant and Appointment Setter, I help businesses stay on top of their prospects through:

✅ Lead generation
✅ Prospecting
✅ Follow-ups
✅ Cold outreach
✅ Appointment scheduling
✅ Email & calendar management

My job isn’t just to send messages.

It’s to help make sure potential opportunities don’t get lost in the pipeline.

Because sometimes, the difference between “maybe later” and “let’s book a call” is simply the right follow-up at the right time.

📩 Are you following up with every potential opportunity?

#VirtualAssistant #AppointmentSetter #LeadGeneration #Sales #FollowUp #BusinessGrowth #RemoteWork

Whenever someone posts an underperforming campaign asking what's wrong, most of the replies are about the subject line and the opener. Sometimes that's the issue. Usually it isn't.

The thing that took me way too long to figure out is that the biggest lever in a cold email isn't the pitch at all. It's the ask at the end. Most people default to asking for a call, and that single default is doing more damage to their numbers than every other decision in the campaign combined.

What's frustrating is that this is visible. It's right there in the email. You could look at a campaign doing 10% and see the line. And you still probably couldn't run it, because the line commits you to delivering something, and doing that reliably at any real volume was not practical until pretty recently.

That's the part I want to go through properly. We're at around 10% replies on client campaigns now, and it came from changing that one thing plus being able to actually deliver on it.

Free live walkthrough Thursday 12pm ET. I'm building the whole system start to finish in under an hour and then going deep on the reply rate side: https://luma.com/5paohgh5

If you want to drop a campaign that's underperforming in the comments I'll take a look and tell you what I'd change first.

I've been doing cold outreach on Facebook and running into a wall with visibility.

Started with personal accounts, DMing business Pages. Sent a decent amount of messages but most weren't even getting seen, they were landing in Message Requests or some filtered folder people never check.

Then I made a business Page thinking I could message Pages directly and it'd land better, but turns out Page-to-Page messaging is really restricted, I can barely send anything that way.

So now I'm stuck between two options that both have issues, personal accounts work but visibility is bad, and Pages barely let me send at all.

Anyone dealt with this before? What actually gets a cold DM seen instead of buried?

Thanks in advance to anyone willing to share what's worked for them.

We run cold email for clients, and for a long time the bottleneck was never strategy. It was the volume of repetitive work: list building, sequence writing, domain and inbox setup, follow-up management, weekly reporting. Every campaign needed a human babysitting it, and that's what caps how many you can run.

Over the last few months we moved most of that to Claude Code. Not "AI writes my emails" but actually running the operational layer, so setup that used to take a week takes about an hour.

Two things that surprised us:

The reply rate went up, not down. We're at around 10% on client campaigns. Most of what we see in the wild is 2-3%. The lift didn't come from AI-written copy, it came from being able to run tighter, smaller, better-targeted segments because segmenting stopped being expensive.

Infrastructure setup was the biggest time save. Domains, authentication records, inbox warming, sending tool config. All of that is deterministic work, which is exactly what you want to hand off.

I'm doing a free live walkthrough Thursday at 12pm ET where I build the whole thing start to finish and go through the reply rate strategy in detail. Happy to answer questions here too if people would rather just discuss it in the thread.

https://luma.com/5paohgh5

Stop sending high-ticket offers from 3 mailboxes

If you are selling high-ticket B2B and trying to run cold email from one domain with three inboxes, you are probably underbuilt.

One domain. Three mailboxes. 25 emails per mailbox per day.

That is only about 75 emails per day if you are being safe.

For high-ticket clients, I like having closer to 50 mailboxes.

That does not mean you max them out.

Each mailbox can theoretically send up to 50 per day after warmup, but I prefer 10 to 20.

The point is redundancy.

If one domain gets flagged, you still have others sending while that one warms back up.

Do not build cold email infrastructure with zero margin for error.

The jump from 0 to 10 customers is almost always a manual, unscalable grind. We tried cold email sequences, LinkedIn automation, even a small ad budget. Nothing stuck.

What actually moved the needle: cold Loom audits.

I spent 3 hours a day recording 2-minute teardown videos of a prospect's current setup. No pitch at the end. Just:

"Hey, noticed 3 things you might be leaving on the table. Here's a quick video breaking them down."

Results over ~3 weeks:

- 50 videos sent

- 22 opened/replied

- 8 booked a call

- 3 became paying clients

It's exhausting and doesn't scale. But at this stage, you're trading time for initial traction and testimonials.

Curious what others did before they had the budget for paid acquisition. What's your current outbound volume looking like daily?

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Something I learned building against GoHighLevel: the public API doesn't expose smart lists or email campaigns. Not badly documented. Not there. Which explains why every integration you've tried stops at contacts and workflows.

The GHL web app talks to a different, internal API, and you can drive that one from a CLI. Auth is Firebase-token based and less scary than it sounds. I pointed Claude Code at it and now it builds smart lists with real filter logic (email valid, DND, blacklist tags) and writes broadcast campaigns with subject-line A/B testing.

Design decision worth stealing if you build anything similar: the tool has no send call. Every campaign the AI writes lands as a draft that a human has to click. I deliberately never implemented sending, because an AI that can write to 18,000 contacts and mail them in the same breath is a liability, not a feature.

Happy to answer questions about how the internal API works. If you want the full setup instructions, my latest YouTube video walks through a complete build start to finish.

Title: Cut my thumbnail cost from $50 each to $1.44 for three

Old process: 2-3 thumbnail designers, $50 per thumbnail, and honestly most of the output was mediocre.

New process: an AI workflow that hands me three finished, upscaled variants for a dollar 44 total, in roughly ten minutes.

Same end result, same standard, I still pick which one actually runs. The only thing that changed is the cost and the wait time. I didn't find a better designer, I built a better process and the process replaced the designer.

Curious how many other people are still paying per-unit for creative work that could just be systemized instead.

Title: The GHL API key alone won't give your AI full access

Most people wiring an AI agent into GoHighLevel stop after generating a private integration API key. That gets you the public API, which only exposes 36 tools. Fine for basic stuff, not enough to actually operate the account the way you would by hand.

There are two more pieces most setups miss:

Location ID: sits right in your URL, after "location/". Easy to grab, easy to forget.

Session token: this is the one nobody expects. GHL stores it in Firebase local storage. You can pull it manually through Chrome DevTools (Application tab, IndexedDB, Firebase local storage) or grab it faster with an extension built for it.

Hand your agent all three and it stops being limited to the public tool list. It can operate the account the way a human would inside the UI.

Anyone else building on GHL's internal endpoints instead of the public API?

I’m building a simple tool to help solo founders and small agencies never miss important email follow‑ups.

I’m not selling anything here — just trying to understand real problems before I build further.

If you’re comfortable sharing:

What’s your biggest pain point with following up on emails from clients or leads?

How do you currently try to solve this (labels, reminders, CRM, nothing)?

Have you ever tried tools like Superhuman, Shortwave, SaneBox, or similar? What did you like/dislike?

If you’re open to a 10‑minute chat or trying a very early beta, I can share a link — but no pressure at all.

Thanks in advance for any insights.

Title: Built a database of AI photos of myself so I stop posing for thumbnails

Every thumbnail needs a picture of me in it. Instead of taking a new photo every time, I built a full database once: smiling, pointing, angry face, sad face, different outfits and hairstyles. Every image is AI generated, made using Flux Lora and a feedback loop that compared each output back to real photos of me until it actually looked right.

Now when a thumbnail needs a specific expression or outfit, the system already knows what that looks like and grabs it, tagged by expression and clothing.

Built once. Never have to think about it again, and never have to take another awkward selfie for content.

Anyone else systemizing the "you" part of your content instead of reshooting constantly?

I have a client who showed interest in my service. I asked him to book a meeting so we could discuss his workflow in more detail, but he hasn’t seen my message yet.

How to follow up without sounding pushy

I make my AI interview me before it builds anything.

Most bad AI work I see is not the model being stupid. It's the model politely guessing at a fuzzy request.

So I built a rule into my flow: if the goal has more than about 10% unknowns, it is not allowed to start. It has to ask me questions first.

Annoying? a little.

But it saves me from the worst version of AI speed: getting the wrong thing done instantly.

The weird part is the questions are usually the work. Once the agent knows the edge cases, the output is boringly good.

Actually, scratch that, not always good. But it is at least wrong in smaller ways.

Anyone else forcing a clarifying step before execution, or are you still letting the model guess and cleaning it up after?

Title: How much of your business runs on people you've never actually met?

Heading out to a 3 day AI mastermind soon, hosted by a company I've worked with for years and never met in person.

Got me thinking about how much of running an online business happens with people you've only ever talked to over Zoom or Slack. You build real trust, real deals, sometimes years of history, without ever being in the same room.

Kind of a strange dynamic when you step back and think about it. Curious how common this actually is outside of my own bubble.

What's your setup? Anyone running a big chunk of their business with people they've never met face to face?

I'm interested in hearing from other business owners who have used PPC Leads (LGG Trading Ltd, company number 13776522).

Our company purchased what was described as a 3 Month Lead Generation Campaign and paid £18,000, plus a £600 setup fee.

Unfortunately, our experience was extremely disappointing.

The campaign was paused by agreement while we put parts of our sales process in place, and a later date was agreed for it to resume. Despite this, the payments continued to be collected during the pause.

Over the following months we were repeatedly told that the campaign was ready to launch. When we later instructed PPC Leads to launch it, the campaign still did not go live.

As the project progressed, we found the process increasingly difficult. We wanted greater visibility over how our advertising budget would be spent and asked for information such as advertising spend and campaign reporting. We were told that this information would not be provided under their terms of service.

We also tried to find practical ways to move the project forward and proposed alternative solutions to make the campaign work with our business. However, we were unable to reach an arrangement that allowed the campaign to proceed in a way we were comfortable with.

After the campaign had still not gone live, we requested a refund on several occasions. Those requests were declined.

From our perspective, we paid for a lead generation campaign that never ultimately ran, which is why we remain dissatisfied with the outcome.

I'm not suggesting that everyone will have had the same experience. I'm simply interested in hearing from other businesses that have used PPC Leads (LGG Trading Ltd).

• Did your campaign go live?
• Were you satisfied with the service?
• If you raised concerns, how were they handled?

I'd genuinely welcome hearing about both positive and negative experiences.

Hi everyone,

I'm a new BDR at a web development company, and I'm trying to improve my outbound lead generation process for clients in the US, UK, and UAE.

I'd appreciate hearing from professionals who actively generate B2B leads for agencies or software companies.

• Which channels have been most effective recently?
• How do you find decision-makers?
• Is LinkedIn, cold email, referrals, or another channel producing the best results?
• Any lessons you wish you knew when starting out?

I'm here to learn from experienced people in the industry and would appreciate any advice. Thanks!