In today’s fast-paced retail environment, brands have a significant opportunity to leverage their screen networks for substantial advertising revenue. But in order to maximize this potential, you need more than a network—you need the power of data-driven insights. At Adtrac, we’re pushing the boundaries of retail media advertising by using advanced predictive models that provide precision in reaching the right audiences at the right times.
Why Predictive Data Models Are Essential
With data streaming in from checkout registries, foot traffic analysis, comprehensive market research, and over a million daily sensor data points from our deployed networks, Adtrac’s approach gives retailers an edge. Rather than relying solely on historical averages, our predictive inventory models forecast with up to 97% accuracy, making it possible to schedule and sell ad space with confidence. This data-backed approach empowers retailers to manage ad inventory in ways that attract premium advertisers, increase ad spend, and deepen customer engagement.
Our Data Sources: Rich, Real-Time, and Multi-Faceted
Adtrac’s predictive models are fueled by a blend of four primary data sources:
- Checkout Registry Data: Helps understand buying patterns in real time, allowing advertisers to align campaigns with actual consumer behavior.
- Site Traffic Data: Analyzes foot traffic and dwell times to reveal peak periods and high-traffic zones.
- Market Research Insights: Provides demographic and psychographic data, enriching the targeting possibilities for more precise ad placements.
- Sensor Data: Over a million daily data points from in-store sensors enhance our predictive accuracy, adapting to real-time changes in consumer movement.
Combining these data sources allows us to deliver exceptional predictive accuracy and reveal optimal time slots for ad placements, ensuring no valuable screen time is wasted.
Maximizing Yield with Adtrac’s Predictive Inventory Models
For retail media to succeed, advertisers need transparency and confidence that their campaigns will reach the right people, and for brands, inventory utilization and ad engagement are critical. Adtrac's predictive inventory models deliver on both fronts, enabling:
- Optimized Ad Spend: Our data models let advertisers target their audience more effectively, stretching each dollar for greater impact.
- Increased Network Value: Retailers can use our tools to show advertisers the value of high-traffic placements backed by predictive data, elevating ad space value and attracting more premium advertisers.
- Sustainable Revenue Growth: Predictive accuracy leads to consistent campaign results, creating ongoing demand from advertisers who want reliable ROI, and boosting long-term revenue.
Beyond Predictive Models: Advanced Campaign Tracking and Reporting
Adtrac’s suite isn’t limited to predictive planning. Our advanced tracking and reporting features give advertisers real-time insight into campaign performance, audience engagement, and ad impact. With detailed data on every campaign, you gain a powerful tool for refining strategies, optimizing campaigns, and understanding exactly how each placement contributes to your revenue growth.
Case Study: Maximizing Returns for Retail Networks
For retailers managing large screen networks, this means the potential to unlock a whole new revenue stream. By using Adtrac’s predictive models, networks have seen improved booking rates, fewer low-value slots, and higher engagement from prime-time placements. Our approach provides a strategic pathway to converting foot traffic into engaged viewers, all while driving incremental ad revenue.
Curious to see how Adtrac can redefine your retail media strategy? Explore Adtrac.tech to discover the next level in screen advertising—built to deliver, designed to scale.
