Most performance marketing campaigns generate high-intent signals that fail to convert immediately, leaving valuable data trapped within the originating platform. Last Mile Audiences addresses this friction by transforming these engagement signals into first-party household identities. According to co-founder Amol Waishampayan, the capability allows marketers to capitalize on prior investments by identifying households and continuing the conversation across additional channels rather than starting fresh.

The system integrates directly into the company’s existing platform, where it is surfaced within the Audience Library or suggested by the AI Media Agent. A key feature includes rolling household windows, which segment users into 30-day increments up to 120 days. This granular control allows advertisers to align their messaging with specific buying cycles, prioritizing recent activity for fast-moving goods or combining windows for products with longer consideration periods.