Gong
A revenue intelligence platform that records, transcribes, and analyses customer-facing calls and emails using AI to surface deal risks, coaching opportunities, and market insights.
How RevOps teams use it
RevOps teams use Gong to enforce CRM hygiene by auto-populating deal fields from call data, track competitor mentions across the pipeline, and identify which conversation behaviors correlate with closed-won deals.
Example use case
e.g., A RevOps team uses Gong to build a rule that automatically flags any opportunity where the champion contact has not been reached in 21 days, triggering a rep alert and manager notification.
Where it's used
Technical Disciplines
RevOps AI Engineer
Builds AI-powered tools and workflows that automate revenue tasks, surface insights, and reduce manual work across the sales, marketing, and CS stack.
Revenue Enablement Engineering
Owns the technical side of sales and CS enablement — managing content governance platforms, readiness scoring systems, and onboarding workflow automation that ensure reps can execute at full capacity.
Conversation Intelligence Operations
Configures and optimises conversation intelligence platforms to surface deal risk signals, build coaching workflows, and feed call insights into CRM pipeline fields — turning recorded conversations into revenue actions.
Industry Verticals
SaaS B2B
Subscription-based software sold to businesses. Long sales cycles, multi-stakeholder procurement, and recurring revenue tracked through ARR, NRR, and churn.
SaaS B2C
Subscription software sold directly to individuals. Self-serve, high volume, short cycles — revenue operations focused on activation, retention, and reducing involuntary churn.
Cybersecurity
Cybersecurity companies face compliance-gated buying cycles, MSSP channel complexity, and consumption-based licensing tied to endpoints or events — creating RevOps requirements driven by breach events and regulatory mandates rather than planned budgets.