AI Heat Map for Realtor Targeting

This brokerage was blanketing entire zip codes with generic postcards, burning through $15K+ monthly on direct mail with dismal 0.3% response rates. They knew some neighborhoods had higher turnover potential but lacked the data infrastructure to identify them. Meanwhile, competitors were stealing listings in hot pockets they didn't even know existed.

We aggregated public records, MLS data, and demographic signals into a predictive model that scores every property by likelihood to list within 6-12 months. The heat map visualizes opportunity density block-by-block. We then built an AI copywriting pipeline that generates unique messaging for each household—referencing their specific property, neighborhood trends, and personal situation.

Response rates jumped from 0.3% to over 1%. The team cut direct mail volume by 60% while generating more leads. They closed 8 additional listings in Q1 directly attributable to the targeted campaign—more than covering the entire annual marketing budget.