Case Study: Ocean.io achieves ICP-targeted enrichment and faster SDR-ready prospecting with Scalestack

A Scalestack Case Study

Preview of the Ocean.io Case Study

Ocean.io enriches 23,000+ accounts with 99% contact accuracy using Scalestack

Ocean.io, a provider of AI-driven lookalike discovery, faced the challenge of helping revenue teams overcome data relevance issues. Despite access to large databases, their customers were drowning in low-fit prospects that didn't convert, wasting sales time and budget on manual enrichment and validation processes that failed to align with their Ideal Customer Profile (ICP).

Scalestack implemented its Autonomous Revenue Engine to integrate with Ocean.io's service. The solution used Scalestack's agentic enrichment, scoring, and routing to automatically validate and qualify the expanded prospect lists. This partnership resulted in the enrichment of over 23,000 accounts with 99% valid contact accuracy and immediately made 2,000+ high-fit accounts ready for SDR outreach, significantly increasing conversion rates and reducing list-building time by 70%.


View this case study…

Scalestack

10 Case Studies