Real Estate Lead Gen · 50K Leads at $4.20 CPL · HF Digital Media
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Lead Generation · Real Estate

50,000 Qualified Leads at $4.20 CPL for a High-Ticket Property Developer.

A premium real estate developer launching a flagship $200M community needed qualified buyer leads at scale. We built a multi-channel lead gen system with AI-powered WhatsApp follow-up that closed deals while the sales team slept.

50K+
Qualified Leads
$4.20
Sustained CPL
32%
Lead-to-Call Rate
Client
Confidential · Developer
Industry
Real Estate
Duration
12 Months
Platforms
Meta · Google · GHL · WhatsApp
SS-01 · Hero Dashboard
12-month dashboard showing total leads, qualified-lead rate, CPL trend, and pipeline value.
01 · The Challenge

Massive launch. Manual chaos.

The developer was launching a $200M flagship community with units priced between $180K and $1.2M. Sales team of 14 closers, a CRM no one used, and lead intake handled by interns copying form submissions into a shared spreadsheet.

  • Existing ad spend was running through three agencies with no central tracking
  • Average cost per lead sat at $34 with no qualification before reaching sales
  • 70% of leads called by sales were unqualified or wrong numbers
  • Lead intake handled by interns copying form data into a shared spreadsheet
  • Lead volume swinging between 300 and 1,400 per month with no pattern
  • Zero pipeline visibility past the first contact attempt
SS-02 · Before State
Existing spreadsheet-based lead intake. Three disconnected ad accounts running separate campaigns.
02 · The Strategy

Filter at the top, not the bottom.

Cheap leads are easy. Cheap qualified leads are an entirely different problem. The standard real estate play is to flood the top of the funnel and let sales filter. We reversed that. We put the filter at the top.

01

Multi-Channel Acquisition

Meta Lead Ads, Google Search, and Google Display running in parallel. Each platform feeding a single qualification funnel. Geo-targeted by zip with high-intent interest layering for mortgage shoppers, recent movers, and expat communities.

SS-03 · Channel Mix
Meta + Google Search + Display campaign architecture diagram.
02

AI Qualification Layer

WhatsApp and GoHighLevel AI chatbot handling first contact within 90 seconds, 24/7. Six qualifying questions, lead scoring, then book a call or filter out. Sales never saw an unqualified lead again.

SS-04 · Qualification Flow
WhatsApp AI bot conversation flow and qualification logic map.
03

Sales Pipeline & Routing

GHL pipeline with stage automation, missed-call SMS workflows, and live dashboards for the sales director. Round-robin assignment by closer availability and lead score. Every lead tracked, every touchpoint logged.

SS-05 · Pipeline View
GHL pipeline screenshot with stage-by-stage conversion rates.
03 · What We Built

From form fill to closed deal.

A four-layer system covering acquisition, qualification, routing, and reporting. Built so a single missed lead would trigger an alert. Built so sales would only ever speak to ready buyers.

Multi-Channel Acquisition

Meta Lead Ads for volume (70% of leads), Google Search for high-intent (14% of leads, 38% of closed deals), Google Display for retargeting. Each channel had a defined job, none ran in isolation.

Meta Lead Ads Google Search Display Retargeting
SS-06 · Cross-Platform View
Combined Meta and Google performance dashboard.

WhatsApp AI Qualifier

First contact within 90 seconds of form submission, 24/7. Bot asked 6 qualifying questions (budget, timeline, housing status, intent), scored the lead, then routed to a closer or filtered out. Lead drop-off in the first 24 hours fell from 62% to 18%.

WhatsApp Business API OpenAI Lead Scoring
SS-07 · WhatsApp Flow
Real WhatsApp conversation showing the AI qualifier in action.

CRM & Pipeline Automation

Custom GoHighLevel pipeline with 7 stages, automated stage transitions, missed-call SMS workflows, and live dashboards for the sales director. Every touchpoint logged. Round-robin lead assignment with override for top-scoring leads.

GoHighLevel Pipeline Automation SMS Triggers Round Robin
SS-08 · Pipeline Workflows
GHL workflow builder showing automated stage transitions and SMS triggers.

Reporting & Attribution

Live dashboards for the sales director, marketing director, and the developer. Lead-source attribution down to ad set level. Daily lead count, qualification rate, lead-to-call rate, and pipeline value. Weekly performance reports auto-delivered.

Custom Dashboards Attribution Weekly Reports Looker Studio
SS-09 · Attribution Dashboard
Looker Studio dashboard with lead source breakdown and pipeline view.
04 · The Numbers

From spreadsheet chaos to $4.20 CPL at scale.

Every number below is pulled directly from Ads Manager and GoHighLevel. Lead counts are post-qualification, not raw form fills. CPL is sustained over 12 months, not best-case.

Total Qualified Leads
50K+
Post-qualification by AI bot, not raw form submissions.
Sustained CPL
$4.20
12-month average. Industry benchmark sits between $18 and $45.
Lead-to-Call Conversion
32%
AI qualifier did the work three junior staff used to do, better.
Total Ad Spend Managed
$1.6M
Across Meta, Google Search, and Google Display over 12 months.
Drop-Off Reduction
-71%
First-24-hour drop-off fell from 62% to 18% after WhatsApp went live.
Sales Cycle Speed
2.4x
Closers moved deals 2.4x faster because every lead was ready to buy.
SS-10 · Full Results Dashboard
Combined 12-month dashboard: ad spend, raw leads, qualified leads, lead-to-call rate, and pipeline value.
05 · Timeline

12 months, four inflection points.

From spreadsheet intake to fully automated lead engine. Each phase compounded the next.

Month 1
System Built
GHL pipeline live, WhatsApp AI deployed, Meta and Google campaigns launched. First qualified leads in.
Month 3
CPL Cracked
CPL stabilised at $4.20 across all three channels. Sales team stopped chasing bad leads.
Month 6
Volume Engine
Monthly qualified-lead count crossed 4,500. Two new communities launched on the same system.
Month 12
50K Crossed
Total qualified leads crossed 50,000. Total ad spend managed crossed $1.6M.
SS-11 · Lead Volume Trend
Monthly qualified-lead count over 12 months.
SS-12 · CPL Trend
Cost-per-lead trend line showing stabilisation by month 3.
"

Our sales floor went from chasing leads to choosing which leads to chase first. The AI qualifier did the work three junior staff used to do, and it did it better. We have not gone back to anyone else.

AK
[Sales Director Name]

Director of Sales · [Developer Name]

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