Retail

Case Study

Objective
The brand sought to increase in-store traffic and conversions by reaching audiences with clear purchase intent for fine jewelry. They wanted to go beyond basic demographic targeting to identify people with emotional or life-stage triggers—such as engagements, weddings, anniversaries, or special occasions—and convert that intent into in-store visits.

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Data Strategy

1. Intent and Behavioral Signal Analysis

   • We analyzed search and browsing behavior tied to jewelry-related terms, engagement rings, luxury gifts, and anniversary presents.

   • Additional intent signals around honeymoon planning, romantic travel destinations, and gift shopping were used to identify couples preparing for milestones.

2. Life-Stage Audience Identification

   • Using location intelligence, we pinpointed newly married couples who had recently visited Singapore’s Registry of Marriages—an indicator of imminent luxury spending.

   • These data signals were combined with behavioral and demographic attributes to create precise, high-intent audience segments.

3. Location & Geofencing Intelligence

   • We geofenced ION Orchard and other malls specializing in jewelry and luxury retail to identify visitors with strong interest in premium products.

   • Device-level mobility data helped separate casual visitors from repeat or high-frequency shoppers.

   • Real-time insights enabled the brand to reach shoppers within proximity and retarget them later with personalized messaging.

4. Performance Measurement: Foot Traffic Study

   • To validate the effectiveness of data-driven targeting, a foot traffic study was conducted to track store visits and engagement patterns.

   • The analysis confirmed a tangible uplift in store visits and new customer sign-ups during the campaign period.

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Results

• High-Intent Segments Identified: Newlyweds, couples planning honeymoons, and milestone celebrants.

• Precision Location Targeting: Real-time engagement of mall visitors and frequent jewelry shoppers.

• Measurable Impact: Increased in-store sign-ups and validated uplift in foot traffic through mobility analysis.

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Impact
By combining intent data, mobility insights, and life-stage intelligence, the jewelry brand successfully connected with customers at meaningful moments in their purchasing journey. This data-driven approach not only boosted in-store performance but also gave the brand a replicable model for blending online intent with offline conversions—creating a seamless bridge between data intelligence and luxury retail experience.