AI Deal Predictor is an AI agent that analyzes your pipeline to generate a deal likelihood score for each open deal, helping team members quickly understand how likely a deal is to be closed-won within its expected closing period compared to other deals in their pipeline.
Instead of relying on gut feelings or manual spreadsheets, team members get a clear, data-driven view of deal health based on signals from their CRM, calls, emails, and other activity data captured in Gong.
Deal likelihood scores are available throughout Gong, on the Forecast page, deal boards, deal pages, and pipeline views, so team members can access actionable deal health insights wherever they are.
Why use the AI Deal Predictor?
The AI Deal Predictor helps your team:
Prioritize deals effectively with clear, data-driven insights.
Enable precise forecasting aligned with pipeline health.
Reduce manual effort in tracking deal health.
What is a deal likelihood score?
A deal likelihood score is a percentile rank generated by Gong AI that shows the relative health of a deal compared to other open deals.
For example, a deal scored 80 means it has a better chance of closing than 80% of other open deals. It doesn’t represent an 80% probability of closing or the deal’s expected win rate.
Scores are categorized for clarity:
Low: 1-29
Fair: 30-75
High: 76-99
Each score includes a list of positive and negative signals considered by Gong AI to calculate the score.
How does the AI Deal Predictor calculate the score?
Gong AI analyzes 300+ signals using a machine-learning model trained on your company’s historical deal outcomes. Signals come from:
CRM data (Salesforce, HubSpot, or Microsoft Dynamics)
Calls and meetings (video and phone)
Emails
Conversation intelligence features (warnings, trackers)
The model continuously improves as Gong enhances its signal set and retrains the model to align with your business context.
For more details, see About deal likelihood scores