- Pricing
- enterprise
- From
- See site
- Free tier
- No
What we think
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What readers think
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Best for
Sales, customer success, enablement and revenue operations teams at companies that want call and interaction data feeding forecasting, coaching and automation.
What it is
Gong is a revenue AI platform for sales, customer success, enablement and revenue operations teams. It captures customer interactions, analyzes them, and connects the resulting data to applications for engagement, forecasting, enablement and automated follow-up work. Pricing is quoted per team after a form submission rather than published on the site.
Best forSales, customer success, enablement and revenue operations teams at companies that want call and interaction data feeding forecasting, coaching and automation.
Features
Interaction capture and analysis
Captures customer interactions and analyzes what is working across deals.
Gong Engage
Prioritizes and personalizes sales engagement communications.
Gong Forecast
Provides forecasting insights and centralized analytics for pipeline risk.
Gong Enable
Revenue enablement grounded in recorded customer interactions, including an AI Trainer for practice scenarios.
Gong Agents
Agents that automate follow-ups, pipeline edits, enablement triggers and forecast corrections.
Gong Revenue Graph
A network that captures and connects revenue data and interactions across the business.
Gong Collective
Curated integrations and services for enterprise deployments.
Multilingual capabilities
Listed as a capability area on the site.
Gong records and analyzes revenue team interactions and turns them into forecasts, coaching and automated workflows.
Pros
- •Site states it is used by 5,000+ customers.
- •Pricing page states integrating an existing tech stack is free.
- •Product line covers engagement, forecasting, enablement and automation agents.
- •Company publishes G2, Gartner and TrustRadius ratings on the pricing page.
Cons
- •No published prices; a custom proposal is required.
- •No free tier or self-serve plan is listed.
- •A platform fee applies on top of per-user license costs.
- •Pricing depends on team size and number of users supported.
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