Case Study: Diffbot achieves a scalable outbound demand engine and consistent qualified meetings with CIENCE, Inc.

How CIENCE Structured Outbound Efforts for Diffbot

Diffbot, the largest global source of public structured data, faced an outbound prospecting gap during a growth inflection: they had strong inbound interest but few qualified leads and no systematic outbound process. To build a repeatable outbound engine and hit a target of roughly ten scaled outbound appointments per month across banking, eCommerce, consulting, and market research accounts, Diffbot engaged CIENCE, Inc. for expertise and guidance.

CIENCE, Inc. designed and executed a personalized, multichannel outbound program—performing precise lead research and running email, social, phone, and landing-page outreach while helping refine Diffbot’s ICP and messaging. Over six months CIENCE, Inc. researched about 5,000 leads and ran roughly 16,000 emails, 4,000 calls, and 3,500 social connections, delivering documented metrics, a repeatable outbound process, and clear insight into what worked for scaling Diffbot’s prospecting.

Diffbot

Aron Kuehnemann

Vice President of Sales