Scalestack
10 Case Studies
A Scalestack Case Study
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%.