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Custom Audience Builder Tool is a data-driven segmentation engine designed for advertisers who demand precision targeting. Leveraging real-time behavioral, geographic, psychographic, and emotional response data gathered directly from rider interactions during rideshare sessions, this tool empowers brands to build hyper-granular audience profiles. Unlike generic demographic targeting, FURE’s AI enhances each audience segment with insights like brand affinity, in-the-moment engagement patterns, and historical responsiveness to creative types and messaging tones.

The tool allows marketers to dynamically define, refine, and deploy audiences based on variables such as trip purpose (e.g., work commute vs. social outing), device behavior during ad exposure, engagement depth, real-time sentiment, and even environmental context. Advertisers can create saved audience templates, A/B test audience responses, and sync data directly with campaign delivery systems for immediate implementation — all while maintaining compliance with data privacy standards.

The result is an intelligent, flexible targeting solution that helps advertisers reduce waste, boost relevance, and increase ROI. Whether you’re launching a geo-targeted product push in Miami or driving brand lift in Los Angeles, the Custom Audience Builder Tool ensures every impression counts — and every ad is delivered to someone who is statistically more likely to care, engage, and convert.

Key Benefits:

  • 🎯 Precision Targeting at Scale – Build real-time audience segments using live behavioral and contextual data.

  • 🧬 Psychographic & Emotional Filters – Target based on attitude, mood, and brand affinity – not just demographics.

  • 🔁 Dynamic A/B Testing – Instantly test, compare, and optimize segments to drive campaign performance.

  • 🧰 Cross-Platform Integration – Export audience sets into DSPs, CRMs, or email platforms for omnichannel execution.

  • 🛡 Privacy-First Architecture – Data anonymization and compliance baked into every layer of audience creation.

 

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