The National Association of Realtors won Meta’s 2026 Agency Award for Best Use of Automation for an AI-driven first-time homebuyer campaign, the trade group announced on Friday. The Meta Agency Awards recognize agencies and advertisers that use Meta’s advertising tools to deliver measurable business results, with more than 400 submissions from across North America and Latin America considered. NAR’s winning entry centered on its Consumer Ad Campaign and its use of Meta Advantage+ Audience targeting, developed with advertising agency Havas and Meta through a structured test comparing Advantage+ Audience with NAR’s traditional targeting strategy. Meta’s machine-learning system evaluated engagement, audience and conversion signals to identify additional prospective first-time buyers beyond NAR’s manually defined audience segments. The campaign generated 432,000 landing page views, reduced cost per view 29%, and cut spend 25% versus traditional targeting, and delivered a 9-point lift in intent to use a Realtor. Bennett Richardson, NAR chief marketing and communications officer, said the recognition shows NAR’s strategic plan in action and that it reached prospective homebuyers more effectively while reducing costs and delivering greater value to members.