Location-based advertising platform measuring in-store visit attribution
GroundTruth operates a location-based advertising platform that connects ad campaigns to physical store visits. The tech stack reflects a mature data infrastructure—Python, Java, Spark, Airflow, Redshift—built around high-volume ETL and real-time bidding. Current project focus on real-time advertising bidders, attribution pipelines, and location platform improvements suggests the company is optimizing its core feedback loop: observing consumer location behavior, targeting ads, and measuring store conversion. Hiring velocity is decelerating (2 roles in 30 days), with a small, sales-led team anchoring customer relationships.
GroundTruth is an advertising technology company founded in 2009 and headquartered in New York. The platform targets advertisers seeking to drive foot traffic and sales through location-aware campaigns. The product observes real-world consumer behavior—location signals, purchase data—to create targeted ad placements across mobile and web, then measures whether exposed consumers visit store locations or complete transactions. The company operates a data-intensive infrastructure spanning ingestion, transformation, and bidding, serving mid-market and enterprise advertisers with performance-based outcomes.
GroundTruth runs C++, Python, Java, and SQL on AWS infrastructure (EC2, EMR, ECS, Lambda, Step Functions, Glue, Redshift). Data pipelines use Apache Spark, Airflow, and Hadoop. Analytics layer runs Looker; ad delivery uses Flashtalking.
Current projects include real-time advertising bidders, attribution data pipelines, ETL infrastructure, location platform improvements, and inventory bundling. Teams are also focused on ingestion pipeline creation and network upgrades.
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