What is Gong?
Gong is a comprehensive revenue intelligence platform that leverages AI to transform how organizations manage their revenue operations. The platform collects and analyzes customer interactions across multiple channels including calls, web conferencing, text, and websites to provide actionable insights for revenue teams.
Through its 40+ purpose-built AI models, Gong delivers precise pipeline management, accurate forecasting, and coaching opportunities while seamlessly integrating with existing tech stacks. The platform enables organizations to achieve up to 95% forecast accuracy and significantly improve email response rates, making it an essential tool for modern revenue teams.
Features
- Conversation Intelligence: Analyzes customer interactions across multiple channels
- AI-Powered Forecasting: Delivers 95% forecast accuracy for pipeline management
- Sales Engagement: Improves email response rates by up to 80%
- Multi-language Support: Supports 70+ languages
- Coaching Tools: Provides insights for team performance improvement
- Integration Ecosystem: Seamless connection with existing tech stack
Use Cases
- Sales pipeline management and forecasting
- Team coaching and performance optimization
- Customer interaction analysis
- Revenue operations management
- Deal execution monitoring
- Strategic initiative tracking
- Market insight generation
FAQs
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How is Gong's pricing structured?
Gong's pricing is based on per-user licenses and includes a platform fee based on the number of users supported. Custom quotes are provided based on specific team requirements. -
What kind of accuracy can I expect from Gong's forecasting?
Gong's AI-powered forecasting delivers up to 95% forecast accuracy for pipeline management. -
How many languages does Gong support?
Gong supports over 70 languages for conversation analysis and insights. -
Does Gong integrate with existing systems?
Yes, Gong offers free integration with existing tech stacks through the Gong Collective ecosystem.
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Gong Uptime Monitor
Average Uptime
99.71%
Average Response Time
134.17 ms
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