Healthcare marketing platform using real-time data and programmatic advertising
PulsePoint operates a data-driven healthcare advertising platform built on BigQuery, dbt, and Looker, with infrastructure spanning GCP, AWS, and Azure. The tech stack reflects a mature data-warehousing operation, but hiring velocity is accelerating primarily in data roles (5 of 7 open positions) alongside cloud cost challenges—suggesting the company is scaling data ingestion and measurement while managing infrastructure spend. Active projects underscore a pivot toward omnichannel analytics and cross-platform data integration (combining internal datasets with Medscape and WebMD), indicating consolidation work following the Internet Brands acquisition.
PulsePoint is a healthcare-focused programmatic advertising platform owned by Internet Brands, headquartered in New York. The company targets both healthcare professionals and consumer audiences using proprietary datasets and real-time campaign optimization. Its platform spans programmatic display, video, mobile, and native advertising, supported by a data infrastructure built on cloud data warehouses (BigQuery, Oracle, PostgreSQL, MongoDB, Cassandra) and BI/modeling layers (Looker, Tableau, dbt). With 201–500 employees and 13 years of operation, PulsePoint serves mid-market to enterprise healthcare advertisers and marketers requiring compliance-aware, accuracy-focused targeting.
PulsePoint uses BigQuery for warehousing, dbt for transformation, Looker and Tableau for BI, Apache Airflow for orchestration, and Spring Boot for backend services. Infrastructure is distributed across GCP, AWS, and Azure.
Current projects include omnichannel analytics, enterprise BI combining PulsePoint, Medscape, and WebMD data, cloud cost monitoring, observability infrastructure, and improving attribution and measurement performance across the platform.
PulsePoint's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.