Insight
The estate agency came to us with an existing advertising account that needed stronger commercial performance.
Property buyers are unusually difficult to define. Interest in an area or property type does not always indicate financial readiness, timing or genuine intent, and broad targeting can quickly produce expensive low-quality enquiries.
The account also had to balance two different conversion behaviours: users willing to submit an enquiry and users ready to take a more direct action.
Messaging needed to set realistic expectations while still creating enough motivation to engage.
The strategy required a more precise view of the buyer than platform interest categories could provide.
This reframed the problem:
The challenge was not generating more property attention. It was identifying the demographic and behavioural signals most closely connected to a viable move.
Execution
We rebuilt the account around buyer definition and conversion intent rather than broad property interest.
Demographic analysis combined age, household profile, geography, affordability signals and likely life stage to identify audiences with a stronger probability of acting.
Campaigns separated local movers, investors and other high-value segments so that each could receive relevant property and expectation-setting messages.
Lead-generation formats reduced friction for users who needed help or more information before progressing.
A parallel direct-response route served users ready to view, enquire or act without an additional nurturing step.
Creative and copy were used to set expectations early around location, offer and next steps, reducing mismatch after the click.
Google Ads captured active property demand while Meta Ads expanded reach among demographically relevant prospects.
Lead quality, not headline enquiry volume, guided optimisation.
The result was a coordinated real estate advertising system:
- Demographic modelling → improve audience probability
- Lead generation → capture considered interest
- Direct response → convert active property demand
The account could now scale activity without treating every property-interested user as an equally valuable buyer.
Results
The refined structure improved both lead volume and the efficiency of advertising investment.
- Lead generation increased by 37%
- 19.7x return on advertising spend achieved
- A repeatable demographic audience model established
Clearer expectations helped align campaign response with the realities of the property journey.
The business gained a more disciplined framework for reaching buyers whose profile, timing and intent made an enquiry commercially meaningful.
