Case Study: SWYM.ai achieves 57% lower CPA with LiveRamp

SWYM.ai reduces CPA by 57% with LiveRamp

SWYM.ai, an AI-native decisioning layer in adtech, faced the challenge of a fragmented digital advertising infrastructure. Isolated demand-side and supply-side platforms created a slow, broken feedback loop, forcing marketers to make critical media decisions after campaigns had already finished or audiences had deployed. To address this, they partnered with LiveRamp to leverage its identity resolution and data collaboration network.

The solution implemented by LiveRamp provided accurate identity resolution and interoperability, allowing SWYM.ai to connect high-quality consumer signals with real-time media decisioning. This bridged the gap between audience strategy and immediate media delivery. The result was a massive 57% reduction in cost per acquisition (CPA), achieved without having to alter underlying audience attributes or recreate segments.

SWYM.ai