Federated learning and analytics for ad targeting

Build better ad targeting models, serve ads more accurately through your platform, and reduce your customers' CPM, without moving or aggregating consumer data.

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First party consumer data is becoming more valuable - and harder to get.

Third party cookies are going the way of the dinosaurs. Adtech platforms will need to rely on more customer behavior data to train accurate ad targeting models.

But with data privacy laws like GDPR, CCPA, and PIPEDA, and concerns about losing control over increasingly valuable data assets, fewer advertisers are willing to share their first party data.

The MLOps toolkit for distributed consumer data.

With integrate.ai's production-ready, API-based platform, stand up federated machine learning and analytics across data on your platform in less than a week, so that you can deliver better targeted ads for your customers.
Your customers' data never moves off their servers.
Integrate seamlessly and quickly using our SDK.
Deploy easily on integrate.ai secure architecture.
Protect PII with differential privacy.
Save engineering time with managed infrastructure.
Empower your data scientists with tools for their entire workflow.

Accelerate your product roadmap for ad targeting

DSPs: Optimize bidding strategy to deliver better customer CPM and ROI.
Native advertising platforms: Leverage behavior data across platforms to train accurate CTR prediction models.
Customer intelligence and analytics platforms: Improve the performance of your models with access to more data.


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