Property lead generation on Meta and Google: what 2,422 leads in three months taught me

Property is one of the easiest categories to get leads in and one of the hardest to get good ones. Anyone will tap "I'm interested" on a nice render. Far fewer have the deposit, the timeline and the intent to buy. When I joined LandLife Properties, a developer in Islamabad, the account had plenty of the first kind and the sales team was tired of calling them.

Three months later the account had produced 2,422 qualified leads, an average of 800+ a month, at a cost per result 60 to 75 percent below where it started, and sales were up 16%. This is what changed, in the order it mattered.

1. Target people who can buy, not people who like houses

The old campaigns were broad. Property interest, big radius, let Meta find them. Meta did, and found people who enjoy looking at houses.

I rebuilt the targeting around two things: property interest combined with signals of purchasing power, and custom and lookalike audiences built from past buyers and website visitors. The lookalikes did the most work, because the seed was people who had actually bought, not people who had enquired. Google Search ran alongside for people already typing in the names of developments and the areas they wanted to buy in.

2. Put a qualifying question on the form

The single biggest change to lead quality was one question on the Meta instant form: "Are you looking to buy within the next three months?" People who weren't either said so or didn't finish the form. The sales team could sort by the answer before making a call.

I also cut the form down. Every extra field costs completions, so it asked only for what the first call needed: name, phone, the question, and which development they were interested in.

3. Put every lead in the CRM, in real time

This is the part most ad managers hand off, and it's the part that decided whether the leads turned into sales.

I set up Bitrix24 as the CRM and connected every lead form to it, so each lead landed in the pipeline the moment it was submitted, with its source and campaign attached. Then I built an assignment rule: leads were distributed to the relevant sales team in real time and spread equally across the team, so nobody cherry-picked and nobody waited. Automated first replies went out by email and WhatsApp within minutes.

Because every lead moved through the CRM, I could see its stage, from new to contacted to site visit to sale, and I could see which campaigns and audiences produced buyers rather than form fills. The 16% rise in sales came from that pipeline, not from the ad account, which is the only place a sales figure should come from.

4. Move the budget weekly, on sales data

With the CRM feeding back which leads became site visits and sales, budget moved every week to the ad sets producing buyers. Ad sets that produced cheap leads nobody could reach were paused however good their cost per lead looked.

The numbers

The follow-on campaigns I ran for LandLife as a freelancer, between late 2023 and mid 2024, used the same approach and produced 976 leads across four campaigns at an average of Rs318 each. The case study has the table.

What I'd tell a developer or an estate agent

• Judge the campaign on leads the sales team confirms, not on Ads Manager's lead count.
• One qualifying question is worth more than any targeting change.
• If leads aren't going into a CRM with a clear owner and a first reply in minutes, fix that before spending more on ads.
• Feed the sales outcome back to the platform. Meta and Google both get better when they know which leads became buyers.

If you're running property campaigns and the sales team says the leads are poor, the fix is usually in steps 2 and 3, and it's quick. Read-only access to the ad account and a look at the lead form is enough for me to tell you.