sales_ops · finance · workflow
Experian boosted win rates by 25% and achieved sustainable growth with Gong's AI Insights
Experian's sales forecasting was often inaccurate due to manual processes and fragmented data, and they needed a compliant AI solution to give sellers more time and improve pipeline visibility.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer interaction data unified
The Gong Revenue AI OS provides a unified view of customer interactions and deal progression.
Tools used
Gong Revenue AI Operating SystemAI Deal PredictorAI Deal Monitor
Outcome
Experian increased win rates by 25% and grew sales volume by 10%, transitioning from static to data-driven deal prioritization with early risk identification and sustainable growth.
What failed first
Before Gong, Experian relied on manual spreadsheets and disconnected platforms, resulting in delayed decisions, a reactive approach to risks, and static point-in-time forecasting.
Results
Time savedgive sellers time back
Volume25%
Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
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