LiveRamp Partners With Scowtt for AI Driven Data Optimization

As marketers increasingly rely on first party data to drive performance in a privacy focused digital ecosystem, partnerships that combine artificial intelligence with secure data collaboration are becoming central to modern advertising strategies. The collaboration between LiveRamp and Scowtt introduces a new approach to performance marketing through AI powered optimization built on predictive first party data signals.

LiveRamp, a leading data collaboration platform, announced a partnership with AI driven advertising optimization company Scowtt to integrate Scowtt’s predictive models directly into the LiveRamp platform. The companies describe the collaboration as the first partnership of its kind, designed to deliver value based performance optimization across major programmatic platforms and advertising destinations.

The integration enables marketers to activate predictive insights generated from customer relationship management data without requiring operational changes or additional platform adoption. By combining Scowtt’s artificial intelligence models with LiveRamp’s data collaboration infrastructure, advertisers can use predictive signals to improve campaign performance while maintaining privacy compliant data practices.

“Scowtt’s mission to use AI to help advertisers unlock the potential of their CRM data aligns perfectly with LiveRamp’s focus on using data collaboration to supercharge the benefits of data,” said Eduardo Indacochea, CEO and Founder of Scowtt. “LiveRamp is the first to combine the power of data collaboration with Scowtt’s CRM-driven prediction and proprietary conversion value models. This creates a new way to deliver better optimization for marketers, where clients are seeing 40%+ improvement in ROAS by leveraging data in a way that was never possible before.”

Scowtt’s predictive models analyze first party CRM data to generate real time signals that help optimize advertising outcomes across channels. These models will now be accessible within the LiveRamp ecosystem, allowing customers to apply predictive optimization scores directly to audience activation workflows. For organizations with limited proprietary data, the integration also supports the use of third party targeting and intent signals to enhance performance outcomes.

LiveRamp’s deterministic identity framework plays a central role in the partnership by connecting consumer data across multiple touchpoints. This people based approach allows marketers to combine identity resolution with predictive modeling, enabling more relevant customer experiences and improved media efficiency while preserving privacy safeguards.

Through the integration, marketers gain access to a unified conversion value model designed to support continuous and dynamic optimization. This capability allows campaigns to adjust performance strategies in real time based on evolving customer signals and predicted outcomes.

“LiveRamp is committed to helping our customers harness the cutting edge of AI tools, both within our platform, as well as through our extensive data collaboration network of integrations and partners,” said Dave Eisenberg, Chief Strategy Officer at LiveRamp. “LiveRamp customers can be assured they’re maximizing media performance via Scowtt’s proven AI models, built by experts that know the major platforms inside and out.”

The partnership underscores a broader industry transition toward privacy safe collaboration environments powered by predictive analytics and automation. As brands seek measurable outcomes in increasingly complex advertising environments, AI powered optimization driven by first party data is emerging as a key capability for improving return on investment and enabling smarter, data informed marketing decisions.