Case Study: Framed Data achieves rapid outbound pipeline growth with Datanyze

Framed Data Develops Targeted Outbound Sales Model Using Datanyze

Framed Data, a San Francisco–based SaaS company (now part of Square), uses machine learning to help businesses predict and reduce user churn. After exiting Y Combinator, Marketing & Growth Director Tim Wu struggled to scale outbound acquisition: content marketing produced too few leads, in-house prospecting was slow, and outsourced lead generation didn’t deliver qualified prospects—so Framed needed a more efficient way to find and engage the right buyers.

Framed adopted Datanyze’s Targeting and Insider tools to identify companies by tech stack and firmographics, refine their ideal-customer profile, and push prospects into Salesforce with one click. The result was a much larger, higher-quality pipeline, a shortened average sales cycle (10 days), and strong outbound engagement—80% email open rate, 50% click-through rate and 25% reply rate—leading to improved demo and post-demo conversion and faster closes.

Framed Data

Tim Wu

Director of Marketing & Growth