How Experian Uses Gong Revenue AI OS to Boost Win Rates by 25%

Experian Employer Services operates at the intersection of regulatory complexity and high-volume sales, where accuracy in pipeline management directly determines revenue outcomes. With 25,000 employees and deep roots in data-intensive financial compliance markets, the company’s sales organization depends on precision — not just volume — to sustain growth.

Before deploying Gong, Experian’s sales teams navigated a fragmented stack of disconnected platforms and manual spreadsheets. Forecasting was static, capturing a single moment in time rather than reflecting the live state of a pipeline. This meant risks emerged late, coaching opportunities were missed, and sellers spent hours on administrative coordination instead of client engagement.

Experian adopted the Gong Revenue AI Operating System as a unified platform for conversation intelligence, deal scoring, and workflow automation. The system’s AI Deal Predictor analyzes dozens of signals to score every opportunity, while the AI Deal Monitor surfaces at-risk deals proactively to managers. Strict role-based access controls and automatic redaction features were essential for satisfying compliance requirements in a regulated industry.

The impact was concrete and measurable. Experian’s sales enablement team boosted win rates by 25% and grew overall sales volume by 10% — results significant enough to win the Strategists Award at Gong’s annual Golden Gong Award series. Sellers shifted from reactive firefighting to what the company describes as “green-time tasks”: work that directly drives revenue.

Experian’s adoption signals a broader shift in how regulated industries can approach AI-assisted selling. Rather than treating compliance as a constraint on AI adoption, the company found that purpose-built governance features allowed it to embed AI more deeply into sales workflows. The platform now serves as the strategic spine of the sales organization, not just a reporting tool.