Sales ops · Production

Experian boosted win rates by 25% and achieved sustainable growth with Gong's AI Insights

The problem

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.

First attempt

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.

Workflow diagram · grounded in source
1
Customer interaction data unified
integration
“provided a unified view of their customer interactions and deal progression”
2
AI Deal Predictor scores deals
ai_action
“Gong's AI analyzes dozens of signals to objectively grade the health of every deal and its likelihood of closing, assigning it a score so reps know which deals to prioritize”
3
AI Deal Monitor flags troubled deals
ai_action
“Managers are proactively alerted to deals that show signs of trouble”
4
Manager coaching and intervention
human_review
“allowing for timely coaching and intervention”
5
Compliance controls enforced
validation
“custom role-based access controls so only authorized personnel can access sensitive conversation data. It also allows for automatic redaction and consent management for transcripts and recordings”
6
Sellers prioritize pipeline
output
“Sellers have predictive insights, can prioritize their pipeline effectively, and use Gong as a strategic partner to drive revenue impact”
Reported 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.

Reported metrics
Win rate increase25%
Sales volume growth10%
Forecasting transformationshifted from static forecasting to data-driven deal prioritization
Seller time savingsgive sellers time back
Reported stack
Gong Revenue AI Operating SystemAI Deal PredictorAI Deal Monitor
Source
https://www.gong.io/customers/case-studies/how-experian-boosted-win-rates-by-25-and-achieved-sustainable-growth-with-gong-s-ai-insights
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 tools did this team use?

Gong Revenue AI Operating System, AI Deal Predictor, AI Deal Monitor.

What results were reported?

Win rate increase: 25%; Sales volume growth: 10%; Forecasting transformation: shifted from static forecasting to data-driven deal prioritization; Seller time savings: give sellers time back (source-reported, not independently verified).

What failed first in this deployment?

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.

How is this sales ops AI workflow structured?

Customer interaction data unified → AI Deal Predictor scores deals → AI Deal Monitor flags troubled deals → Manager coaching and intervention → Compliance controls enforced → Sellers prioritize pipeline.

Related sales ops cases