Property advertising, by its nature, gathers a very wide audience: a serious buyer and a casual browser react to the same listing. As a result, most enquiries matched neither the budget nor the type of property being sought. The sales team spent a significant part of the day on irrelevant calls while real buyers waited in the queue. With competition in the segment high, every unsuitable enquiry also meant advertising budget spent for nothing. The challenge was to change not the number of enquiries but their composition.

We began with an audit of the running campaigns, identifying which property types, price segments and audiences produced enquiries close to an actual sale. Targeting was rebuilt on that basis: instead of broad listings aimed at everyone, campaigns were split by property type and budget segment. Ad messaging was built around concrete attributes — location, floor area, payment terms — so the advertising itself acted as the first filter: an unsuitable user scrolls past, a suitable one makes contact already informed. Results were measured regularly and budget moved to the directions producing the highest-quality enquiries.

The composition of enquiries changed: the calls reaching the sales team now match the profile of a real buyer far more often. Time lost to irrelevant contacts fell, and the team focused on clients close to a decision. Because budget goes to specific segments rather than a broad audience, the value returned per manat rose. The project showed that in real estate, targeting built properly turns the advertising itself into the first stage of the sales process.