Case Study: Red Hat identifies high-value sales leads and boosts customer acquisition with Mintigo Predictive Lead Scoring

Red Hat Leverages Mintigo To Identify The Highest Value Sales Leads in their Database

Red Hat, a leading provider of enterprise open‑source software, needed better lead data and segmentation to boost marketing’s contribution to pipeline and lift customer acquisition by more than 15% (with goals to grow top‑of‑funnel leads by 25% and increase inbound-to-qualified conversion to 15%). The company’s challenge was identifying which contacts were most likely to buy, enabling more personalized campaigns, nurture tracks, and cross‑sell opportunities.

Mintigo’s Predictive Lead Scoring and Data Enrichment app was integrated into Eloqua via the Oracle Marketing AppCloud to build product-specific predictive models and a data-driven CustomerDNA™ using Mintigo’s 2,000+ web‑derived signals across millions of companies and contacts. Contacts were enriched with marketing indicators, firmographic/contact data, and predictive scores in real time, allowing Red Hat to prioritize high-value leads (e.g., 20% of contacts matched >83% of purchasers for one solution and 20% matched 80% for another), route leads to appropriate programs, and deliver more relevant content and targeted nurture campaigns.

Red Hat

Cameron Conway

Director of Customer Insights