Looker
A Google Cloud business intelligence platform built around a semantic layer (LookML) that defines business metrics once and makes them consistent across all reports and data consumers.
How RevOps teams use it
RevOps teams use Looker to define canonical revenue metrics (ARR, pipeline coverage, win rate) in LookML once, ensuring every team across the business uses the same definitions when querying revenue data.
Example use case
e.g., A RevOps team uses Looker to create a single 'opportunities' Explore so that sales, finance, and marketing all see identical win rate, ACV, and pipeline velocity numbers regardless of who runs the report.
Where it's used
Technical Disciplines
Customer Success Operations
Builds the technical infrastructure behind post-sale revenue — designing health scoring systems, QBR automation, and expansion playbooks that protect NRR and drive upsell at scale.
Analytical Engineering
Transforms raw revenue data into clean, trusted models that power reporting, forecasting, and decision-making across the GTM organisation.
BI Engineer
Builds the dashboards, reports, and data models that give revenue leaders a clear, real-time view of pipeline health, performance, and trends.
RevOps Systems Architect
Designs the overall revenue technology stack — selecting, connecting, and governing the systems that support the entire customer lifecycle.
Solutions Engineer
Bridges technical product capabilities and customer needs during the sales process — designing solutions, running demos, and supporting complex deal cycles.
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.
EdTech
Learner subscriptions and institutional licensing. Revenue operations connects engagement data to renewal motions and cohort forecasting.
Media & Publishing
Ad revenue and subscription access. Operations balance CPM yield, subscriber growth, and content performance as revenue signals.
Marketplace & Two-Sided Platforms
Marketplace companies operate dual-sided revenue models — take rates on transactions plus optional SaaS subscriptions for sellers — requiring RevOps to instrument GMV, seller acquisition, buyer activation, and cohort-based retention with attribution models standard CRMs cannot support.