Permissioned consumer purchase data for ad targeting and measurement
Attain pairs consumer financial apps with an ad-data business, turning opted-in spend data into targeting and sales-outcome measurement for advertisers. Its stack spans both sides: DSP and DV360 for programmatic activation, and Go, gRPC, Kafka, Cloud Spanner and BigQuery for high-volume financial microservices. Senior-heavy engineering and sales hiring, plus PMP performance pain points, point to tightening private-marketplace deal quality.
Attain is a Chicago-based, privately held company founded in 2019, with 201–500 employees. It sells measurement, activation and analytics products to marketers and advertisers, built on purchase data that consumers explicitly permission. On the consumer side, it runs a portfolio of apps offering savings tools, early wage access and shopping rewards without fees. Advertisers use its data to target audiences, optimize campaigns and tie media spend to real-world sales. Hiring is concentrated in the United States.
Attain uses Go, Node.js, Rust, gRPC, GraphQL, Kafka and RabbitMQ, running on Kubernetes with Helm, Istio and Terraform across GCP, AWS and Azure, with BigQuery, Cloud Spanner, Looker and Tableau for data.
Attain is building PMP optimization tooling, AI agents to automate manual toil, high-volume financial microservices, payment processor APIs, and consumer products such as rewards and credit builder features.
Attain is headquartered in Chicago, Illinois, and hires in the United States. Founded in 2019, it has 201–500 employees.
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Attain'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 →
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