How we did it
To prioritise developments with most properties available, we created a custom-built prioritisation solution that ingested data, both online and offline, and automatically updated campaign geolocations based on the latest information, ensuring budget was assigned to areas that needed most attention. Automated bidding further improved efficiency and utilised performance insights for optimal allocation.
Included in this was a comprehensive location-based strategy that covered “near me” and specific location-qualified searches, including those tailored to an older demographic, as per the insights we uncovered on those searching.
Integration of first-party data with Dynamic Search Ads (DSA) and Broad Match, combined with location qualifiers, broadened the search scope while enabling us to maintain control.