What is Gong?
Gong is a revenue intelligence platform that records and analyzes sales conversations across phone, video, and email. It surfaces deal risks, coaching opportunities, and pipeline forecasts based on actual buyer interactions rather than manual data entry. The platform helps revenue teams improve win rates by identifying what top performers do differently.
Gong captures every customer-facing interaction and uses AI to extract actionable insights for sales leaders and representatives. The platform transcribes calls, analyzes talk patterns, and tracks competitor mentions to reveal deal health and buyer sentiment. Managers use these insights to coach reps with specific examples instead of relying on subjective notes. Forecasting accuracy improves because pipeline projections come from documented conversation data rather than self-reported optimism. In 2026, the platform expanded into broader revenue enablement, adding deeper workflow automation and performance analytics. Organizations adopt it to standardize winning behaviors across their entire go-to-market organization.
Ideal Customer Profile
Mid-market and enterprise B2B organizations with dedicated sales teams that want data-driven coaching and accurate pipeline forecasting.
Key Features
- Automatic call recording and transcription
- Conversation analytics with sentiment tracking
- Deal intelligence and risk assessment
- Pipeline forecasting from interaction data
- Manager coaching scorecards and call libraries
- Competitor and objection mention tracking
- Email and video interaction analysis
- CRM integration and data sync
- Team performance benchmarking
- Revenue enablement workflows
How to use Gong
Teams connect Gong to their video conferencing, dialer, and email tools to automatically capture conversations. Sales managers review AI-generated scorecards to identify coaching moments and deal risks. Representatives revisit key moments from their own calls to refine messaging and handle objections more effectively.
Pricing
Pricing is not publicly listed and requires a custom quote based on team size and feature requirements.
