Case Study: Paddle achieves a 30% reply rate on cold outbound emails with Hull's customer data platform

How Paddle Achieved a 30% Reply Rate on Cold Outbound Emails

Paddle, the UK payments and billing platform, needed to process and activate large volumes of scraped account data so its sales team could deliver hyper-personalized outbound messages at scale. To centralize, compute and operationalize that data, Paddle partnered with Hull and adopted Hull’s platform—using Hull to store raw signals, run computations with Hull Processor, and connect data into their stack.

Using Hull, Paddle mapped a 300,000-account TAM, prioritized a 20,000 “perfect fit” list, pushed scraped signals into Hull, computed enriched attributes and built real-time micro-segments, then activated those segments into Outreach and Salesforce. Hull also keeps data updated and feeds a data warehouse for analysis. The result: Paddle achieved a 30% response rate on cold outbound sequences, far better targeting and reporting, and the ability to correlate activity with performance at scale.

Paddle

Aleksander Bury

Revenue Operations