With Black Friday being a high-stakes sales period, this national furniture retailer needed to drive in-store traffic efficiently while managing rising media costs and tracking limitations. A recent update to their booking engine disrupted conversion tracking, making it difficult to measure the impact of digital media on store visits.
Beyond tracking challenges, the retailer also faced:
Increased competition and rising holiday media costs—requiring precision in audience targeting and budget allocation to maintain efficiency.
Regional performance variability—with some locations historically underperforming, requiring a strategic approach to optimize store traffic.
To counteract tracking disruptions and maximize media investment, I worked closely with a cross-functional media team to develop a data-driven paid media strategy focused on:
🔹 Strategic Market Selection
Identified key areas with strong growth potential based on historical data, competitive landscape, and incremental opportunity.
🔹 Optimized Channel Mix
Search, Social, and Programmatic Display—spend was dynamically adjusted based on real-time performance insights.
🔹 Enhanced Tracking & Attribution
Foot Traffic Attribution to measure media-driven store visits.
Call Tracking to gauge high-intent customer engagement.
Directional Lift Studies to estimate store visit impact, overcoming tracking disruptions.
🔹 Live Performance Optimization
Budgets were shifted dynamically based on CPL trends, foot traffic patterns, and media efficiency to maximize return on investment.
✅ Exceeded In-Store Visit Goals
Significant lift in store visits compared to forecasted projections
✅ Surpassed Efficiency Targets
CPL: 22% below forecasted cost
CTR: 18% above benchmark
CPM: 12% lower than projected
CPC: 16% lower than industry average
✅ Validated Attribution Despite Tracking Challenges
Through a multi-pronged measurement approach, we successfully proved media-driven foot traffic impact, securing stakeholder confidence and future investment in digital campaigns.
This data-backed strategy not only drove incremental in-store visits but also established a scalable approach for future peak sales periods.