Case study · Real Estate · Singapore

Real Estate Case Study Singapore: +85% Leads

Name: Marketing & Lead Expert
Address: IN
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How an agency with 14 sales agents in Punggol grew appraisal requests 85% and cut cost per lead 31% in 6 months with GEO and Meta Ads.

Illustrative case study: the business is anonymised and the figures are modelled on typical results for this market.

Real Estate · Singapore

Realty

An agency with 14 sales agents in Punggol, selling and leasing homes across the wider Punggol area. Most seller leads came from PropertyGuru and 99.co and referrals, so the agency was competing with every other agent for the same vendors. The goal was to win more vendor appraisals directly, cut dependence on portal lead products and turn more appraisals into signed listings.

Results After 6 Months

Appraisal requests

+85%

Cost per lead

-31%

Marketing-sourced revenue

+108%

Return on marketing spend

11.7x

The challenge

Where the business was stuck

Portal leads are shared with every agency in the area, and portal fees keep rising.
Seller and landlord leads are worth far more than buyer enquiries, but most marketing attracts buyers.
Agents spend hours on enquiries that were never going to list, buy or rent.
Peak season (demand is year-round, with spikes around new launches and hdb sales exercises) was not being planned for, so budget ran out when demand was highest.

The approach

Two services, one goal

We focused on GEO (Generative Engine Optimisation) and Meta Ads (Facebook & Instagram), the two channels with the best cost per listing for real estate agencies in Punggol. Every call, form and chat was tracked to a booked outcome from week one, so every decision was based on revenue, not clicks.

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What we did

The technical work behind the numbers, service by service.

Service 1

GEO (Generative Engine Optimisation)

Created a consistent entity profile: the same business facts across the website, Google Business Profile, directories, LinkedIn and review sites.
Published 45 citation-ready answers on costs, timelines, regulations and brands, written in the formats ChatGPT, Gemini and Perplexity quote.
Earned mentions on 19 trusted third-party sites (industry bodies, local news, comparison articles) that AI models draw from.
Tracked 50 buyer prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews every month to measure citations and share of voice.

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Service 2

Meta Ads (Facebook & Instagram)

Installed the Meta Pixel and Conversions API server-side, lifting event match quality from 4.2 to 8.2 out of 10.
Launched Instant Form lead ads with 3 qualifying questions (area, job type, timeframe) to filter out low-intent leads.
Tested 40 creatives: before and after photos, short job videos and owner-to-camera clips; the top 4 now carry the budget.
Built audiences from website visitors, video viewers and a 1% lookalike of past customers, excluding existing clients.
Ran click-to-WhatsApp campaigns so buyers could message the team straight from the ad.

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The numbers

Before and after

Metric	Before	Month 6	Change
Appraisal requests per month	34	63	+85%
Cost per lead	S$172	S$119	-31%
Cost per listing	S$1,775	S$1,094	-38%
Appraisal-to-listing rate	10%	11%	+1 pts
Website conversion rate	3.5%	5.0%	+42%
Marketing-sourced revenue / month	S$57k	S$119k	+108%
Share of leads from portals	67%	12%	-55 pts
AI answer citations (tracked prompts)	0 of 50	25 of 50	+25
Meta Ads leads / month	0	20	new channel

Lead growth

Appraisal requests per month

Marketing-sourced revenue went from S$57k to S$119k a month, measured from booked listings won in the CRM.

Optimisations That Moved The Numbers

01
The business is now cited in 25 of 50 tracked AI prompts, up from 0.
02
AI assistants started sending referral visits within 7 weeks, and those visitors convert 32% better than average.
03
Adding qualifying questions to the lead form cut junk leads by 43% while keeping cost per lead 17% below the account average.
04
Before and after video creatives beat static images with a 32% lower cost per lead and 3.0% click-through rate.

The 6-month timeline

From tracking to scale.

Weeks 1 to 2
Audit, tracking and baseline
Call tracking, conversion tracking, CRM connection and a full audit covering GEO and Meta Ads.
Weeks 3 to 6
Build and launch
GEO and Meta Ads live for vendor appraisals.
Months 2 to 4
Optimise
Weekly search term, call and landing page reviews. Budget and effort moved to the jobs that close.
Months 5 to 6
Scale
Expansion into Sengkang and nearby areas, plus new services with proven demand.

Illustrative case study: the business is anonymised and the figures are modelled on typical results for this market. Your results depend on your market, budget, capacity and follow-up. We share realistic forecasts in your free audit.