Case study at a glance
| Client | Realeshome, a US real estate brand led by its founder, Michael (Florida markets) |
|---|---|
| Problem | Leads from Facebook, Google Business Profile, and the website arrived separately and were answered slowly, so leads were being lost. |
| What we built | A GoHighLevel CRM with city-wise pipelines, automated lead intake, AI calling, an AI chatbot, WhatsApp and SMS follow-up, and internal Slack alerts. |
| Platforms | GoHighLevel, webhooks, AI voice and chat, WhatsApp, SMS, email, Slack |
| Delivery | 30 days, agreed in the planning stage |
| Reported results (first 14 days) | Average response from about 90 minutes to under 5 minutes. Missed leads down 60 to 70%. 24/7 lead handling without adding sales staff. |
Figures are reported by Autoesta for the first 14 days after launch and describe one business. Results vary by lead volume and sources.
What problem did Realeshome have?
Leads came from several channels into separate places, and the first response depended on whether a sales rep was available, which often meant a wait of an hour or more.
The business advertised on social platforms and search, received enquiries through its Google Business Profile and website, and served several Florida cities. Before the project:
| Task | How it worked before | Typical time |
|---|---|---|
| Lead capture | Facebook, Google Business Profile, and website all separate | Immediate but unorganised |
| Lead entry | Manual checking and copying | 10 to 15 minutes per lead |
| First response | Depended on rep availability | 60 to 90 minutes |
| Follow-ups | Manual reminders | Often missed |
| After-hours leads | No response | Next day |
| Lead visibility | No central dashboard | Not available |
| Accountability | None | Not applicable |
In real estate, an enquiry that arrives while a buyer is looking at a listing loses value quickly. Buyers and sellers commonly contact more than one agent, and the person who responds first often gets the conversation. When response takes an hour or more, some leads are effectively gone before anyone calls.
How did the project start?
Realeshome found Autoesta through our website. The first two weeks of contact were about understanding before building:
- Discovery call (day 1). One detailed call with the founder to understand the business model, target cities, lead sources (Facebook, Google, portals, website), and existing follow-up problems. The pain points were written down.
- System planning and pricing (days 2 to 3). A second call covering the CRM architecture, automation scope, AI calling and chatbot requirements, and the WhatsApp auto-responder. The plan and price were agreed and the timeline was fixed at 30 days.
- Build and delivery (within 30 days). The system was built and integrated, covering website leads, Facebook leads, Google Business Profile leads, and WhatsApp automation.
- Launch and measurement. Results were reported over the first 14 days after launch.
From first call to results
Where do Realeshome's leads come from?
| Source | Best used for | Intent | How the CRM handles it |
|---|---|---|---|
| Paid ads (Facebook, Instagram, Google Search, YouTube, TikTok, display retargeting) | Buyer, seller, and investor leads | Medium to high; Google Search highest | Auto-captured, source-tagged, instant follow-up |
| Real estate portals such as Zillow, Realtor.com, Redfin, and Trulia | Ready-to-buy and ready-to-sell prospects | Very high | Priority routing, immediate response |
| Owned assets (website forms, Google Business Profile calls and messages) | Brand-driven, high-trust enquiries | High to very high | Direct CRM sync, fastest response |
How are leads routed by city?
Because the business serves several Florida markets, each city has its own pipeline, so the right person sees the right leads and reporting can be split by market.
| City | Routing | Pipeline | Tags | Follow-up |
|---|---|---|---|---|
| Orlando, FL | Auto-assigned by location | Dedicated Orlando pipeline | City and source | AI call, SMS, WhatsApp |
| Tampa, FL | Auto-assigned by location | Dedicated Tampa pipeline | City and source | AI call, SMS, WhatsApp |
| Lakeland, FL | Auto-assigned by location | Dedicated Lakeland pipeline | City and source | AI call, SMS, WhatsApp |
| Davenport, FL | Auto-assigned by location | Dedicated Davenport pipeline | City and source | AI call, SMS, WhatsApp |
Messaging is localised and personalised to the market, so a lead in one city does not receive a generic message written for another.
What did Autoesta build?
The delivered system is a Real Estate Lead Intake and Response System made of these parts:
- GoHighLevel CRM setup: pipelines, tags, and reporting. See our setup guide for how we design these.
- Facebook and Google Ads lead automation so ad leads enter the CRM instantly.
- Webhook-based lead ingestion for sources without a native integration.
- AI calling for instant outreach to new leads.
- AI chatbot inside GoHighLevel for enquiries and after-hours handling.
- WhatsApp chatbot and auto-responder for people who prefer it.
- SMS and email follow-up sequences that run consistently.
- Internal Slack notifications so the team sees new leads immediately.
- City-wise pipelines and reporting.
What changed after launch?
| Task | After automation | Time |
|---|---|---|
| Lead capture | All sources flow into GoHighLevel | Instant |
| Lead tagging | Automatic by source and city | None |
| First response | AI call, SMS, or WhatsApp | Under 5 minutes |
| Follow-ups | Fully automated sequences | Consistent |
| After-hours leads | AI chatbot and WhatsApp | 24/7 |
| Lead visibility | Real-time pipelines | Instant |
| Accountability | Internal alerts and logs | Full |
Reported results, first 14 days
What were the results?
Within the first 14 days after launch, average response time fell from about 90 minutes to under 5 minutes, and missed leads fell by 60 to 70%.
- Response time: from about 90 minutes to under 5 minutes.
- Missed leads: reduced by 60 to 70%.
- Lead-to-conversation rate: increased significantly. We do not publish a percentage for this one.
- Sales workload: reduced without hiring.
- Coverage: leads are handled around the clock through AI.
"Earlier, we were losing leads simply because we couldn't respond fast enough. After Autoesta built the system, every lead is contacted within minutes. Facebook, GMB, website, everything is finally in one place."
Michael, Founder, Realeshome (USA)
How to read these numbers
These figures describe one business in its first two weeks. Missed-lead and response-time changes depend heavily on how slow the starting point was. A team that already responds within minutes has less to gain from speed and more to gain from follow-up consistency. We measure your baseline first so the comparison is yours.
What can other real estate teams take from this?
- Put every source in one place first. Speed is impossible if leads are scattered.
- Match the first action to the source. A portal lead with high intent deserves a call; a lower-intent ad lead can start with a message.
- Route by market if you cover several cities, so ownership and reporting are clear.
- Cover the hours nobody is working. Evenings and weekends are when many people browse listings.
- Keep humans for the conversation. Automation gets the lead to a real conversation faster; it does not replace it.
- Mind consent. Texting, WhatsApp, and AI calling all need appropriate consent and opt-out handling. See our AI calling guide. This is operational guidance, not legal advice.
Weighing CRMs for a Gulf brokerage instead? See our comparison of the best CRM for Dubai real estate.
For what a similar build includes, what it costs and how portal leads are connected, see GoHighLevel setup for real estate.
Frequently asked questions
What is GoHighLevel CRM automation for real estate?
A system that captures leads from ads, websites, and portals, then follows up automatically by SMS, email, AI calling, and WhatsApp, so no buyer or seller lead is missed.
Can it integrate Facebook Ads, Google Ads, and website leads?
Yes. Native integrations and webhooks bring them into one CRM for complete tracking and automation.
Does it work with Zillow and Realtor.com leads?
Yes. High-intent portal leads can be routed instantly, given priority follow-up, and assigned to the right pipeline.
How does AI calling work for real estate leads?
The agent contacts new leads, qualifies the enquiry, answers basic questions, and books appointments, which is especially useful outside working hours.
How long does a build take?
Typically 20 to 30 days for a full system with pipelines, automation, AI calling, chatbot, and lead integrations, depending on complexity and lead sources. Realeshome's was delivered within 30 days.
Why use a GoHighLevel expert?
The system needs to match real estate workflows and lead handling from the start. If you already have an account that is not working, our audit is the first step.
Can you build something similar for my team?
Yes. Start with a free strategy call. We will look at your lead sources and response times and tell you what we would build. See also the dental case study.
See how this build generalises to other teams in real estate lead automation, and the routing rules in lead routing automation.
