This service leverages in-ride engagement data, geolocation signals, and post-ride interaction behavior to build full-funnel visibility into how riders experience, react to, and convert from ad campaigns. Unlike traditional attribution models that rely on disconnected or third-party data, FURE tracks a user’s journey from the moment they see an ad in the rideshare experience through to the actions they take post-ride, both online and offline. This allows brands to understand not just if their ads were seen, but how they influenced real behavior.

Using our proprietary AI models, we map behavioral micro-moments: how long a rider engages with an ad, what emotions they express, what actions they take immediately after, and how frequently similar riders repeat those behaviors. These insights are layered with contextual data like time-of-day, ride type, destination, and environmental cues to build a multi-dimensional customer journey map. This enables precise attribution across awareness, interest, and conversion stages, revealing the actual path-to-purchase influenced by FURE’s platform.

The result is a holistic, hyper-contextual attribution framework that goes far beyond impressions and click-throughs. Advertisers gain clarity on which creatives, placements, and message types resonate with specific audiences in specific local markets, optimizing spend and informing future creative strategy.

Key Benefits:

• 🔍 Full-Funnel Attribution – Track ad exposure through to real-world behavioral outcomes for deeper ROI analysis.

• 🧭 Journey Mapping in Motion – Visualize how riders engage with brand messaging while in transit and post-ride.

• 🎯 Audience-Level Insights – Understand which demographics, psychographics, or behaviors correlate with conversion.

• ⏱ Moment-Based Optimization – Identify key timeframes, locations, or environmental triggers that influence behavior.

• 🧠 Creative Intelligence – Reveal which ad types and formats drive emotional resonance and post-exposure action.

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