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Lead Conversion & Engagement System for Real Estate (GoHighLevel)
I built an automated follow-up workflow inside GoHighLevel for a real estate open house, designed to turn attendees into engaged leads without any manual follow-up.
THE PROBLEM
Open house attendees often show interest in the moment, then go quiet. Without fast, consistent follow-up, agents lose touch with warm leads who were ready to engage.
WHAT I BUILT
A dual trigger setup: the workflow starts when a contact is created OR tagged "open-house-attendee," so no lead slips through either entry point
A 1-hour wait before the first message, so it feels timely but not pushy
An automatic welcome SMS introducing the agent and thanking them for attending
A 1-day wait, followed by a Property Highlights Email showcasing the listing's key features
A further 3-day wait, followed by a final follow-up SMS to re-engage the lead
Clean, labeled steps built in GoHighLevel's Advanced Builder for easy editing later
WHAT THIS WORKFLOW DELIVERS
Instant acknowledgment for every open house attendee
A multi-channel touchpoint sequence (SMS and email) that keeps the property top of mind
Properly spaced timing, so leads get timely contact without feeling spammed
Zero manual follow-up needed from the agent
TOOLS USED
GoHighLevel, Workflow Automation, SMS, Email Automation, Contact Tagging
RESULT
A fully automated nurture sequence that keeps open house leads engaged for days after the event, increasing the chances they reach out or book a showing.
I'd recheck the contact's status before the final follow-up SMS. Does a reply or booked showing take them out of the nurture sequence immediately, including messages already waiting to send?
Good eye, Kapil! Yes, there's a goal condition tied to a reply or booked showing. Once either happens, GHL pulls them out of the sequence and cancels any pending steps. Appreciate you checking that, it's exactly the kind of thing that breaks a nurture sequence if missed.
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A system I designed for local service businesses that consistently lose out on Google reviews. Full build in progress
Automated Review Requests for Local Service Businesses
The Problem:
Google reviews are one of the strongest signals for local search ranking, this is well established across HVAC companies, cleaning services, salons, contractors, and landscaping businesses. Every owner in this space knows reviews matter. Very few of them ask for one consistently.
The reason isn't a lack of care, it's a lack of a system. Asking every customer, right after every job, every single time, is a small task with no natural trigger behind it. It depends entirely on someone remembering in the moment, usually right when the business is busiest and least likely to remember. The result is a steady stream of satisfied customers who were never actually asked, and a review count that grows far slower than it should.
The Solution👍
I designed a system that removes the dependency on memory entirely, so a review request goes out every time, without anyone having to think about it.
The moment a job is marked complete in the CRM, the system picks it up automatically. It waits a short period first, so the request doesn't feel rushed or robotic, the customer gets a little time to settle in before being asked. Then it sends a review request by SMS or email.
From there, the system tracks what happens next. If the customer clicks through and leaves a review, that's logged as a win and the process ends there, no further messages, no risk of annoying someone who already did what was asked. If there's no response after a few days, the system sends exactly one follow-up, never more than that, since a second or third nudge tends to do more harm than good. Whatever the outcome, sent, clicked, or reviewed, it's recorded in a tracking sheet, so the business owner always has a clear, accurate picture of where every customer stands.
The result is simple: every completed job gets a consistent, well-timed ask, with no manual list to maintain and no customer slipping through the cracks.
What's Next
The full workflow build, including the architecture and the tools behind it, is going up in the next few days.
That email trigger right after a job finishes should cut out the manual reminder step and keep reviews coming in.
Going to have to learn this! 2D,3D and now AI lol
This project solves a common small-business pain point: inventory running out silently because no one's watching stock levels in real time.
Trigger 1 — Order processing: A webhook receives new orders (supporting multiple items per order). Each item is split out individually, matched to its corresponding row in a Google Sheets inventory log by SKU, and the stock count is automatically decremented — with the "Last Updated" timestamp refreshed on every change.
Trigger 2 — Daily stock monitoring: A scheduled trigger runs once a day, scans the entire inventory sheet, and checks every item's current stock against its own custom reorder threshold. Any item running low automatically triggers a Slack alert listing the item name, SKU, current stock, and threshold — so restocking decisions happen before a customer ever notices a shortage.
I'd test two orders hitting the same SKU at once, since both can read the same stock count before either writes back to Sheets. Are you serializing stock updates per SKU, or using another way to prevent a lost decrement?