F&B

Case Study

Objective
The client, a well-known family-friendly café chain in Taiwan, wanted to boost in-store visits and drive booth attendance at a major coffee convention. As a brand that caters to both coffee lovers and young parents, the goal was to identify and reach audiences whose daily routines and interests aligned naturally with the brand’s community-oriented positioning.

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Data Strategy

1. Behavioral Targeting: Coffee Enthusiasts

   • Using behavioral and intent data, we identified active coffee consumers—those engaging with coffee-related content, café reviews, brewing products, and event listings.

   • This group formed the foundation for outreach, ensuring the brand connected with audiences already invested in café culture and specialty coffee experiences.

2. Family Lifestyle Audience Mapping

   • We leveraged geospatial intelligence to target neighborhoods with high concentrations of young families near the brand’s outlets in Taiwan’s major cities.

   • Kindergartens and childcare centers were geofenced to identify devices frequently appearing during morning drop-offs and afternoon pick-ups—a strong behavioral indicator of active parents.

   • To further refine accuracy, we blacklisted staff or resident devices that appeared persistently throughout the day, isolating genuine parent visitors.

3. Temporal Behavior Analysis

   • Recognizing that young parents typically have more personal browsing time after their children sleep, we identified devices most active after 8:00 p.m.

   • This allowed us to reach parents at moments of relaxed attention—when they were most receptive to content about community spaces, lifestyle cafés, and social events.

4. Convention & Location Activation

   • We extended our geofencing strategy to include the coffee convention venue, identifying booth visitors and mapping engagement across the event period.

   • Post-event, we used mobility data to measure foot traffic uplift across the brand’s retail outlets, confirming that exposure at the convention translated into increased in-store visits.

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Results

• Audience Precision: Segmented coffee lovers and parents with verified mobility and temporal patterns.

• Location Intelligence: Targeted young neighborhoods aligned with outlet footprints for maximum local relevance.

• Post-Event Impact: Verified uplift in store visits and sales following convention engagement.

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Impact
By combining mobility, behavioral, and temporal data, the café gained a detailed understanding of its two most valuable audience groups: coffee enthusiasts and young families. This intelligence allowed for targeted storytelling, optimized event visibility, and measurable in-store impact, strengthening both immediate sales and long-term community engagement.