Account Hierarchy is the way an organization structures and relates accounts across systems—so teams can manage access, budgets, reporting, and customer relationships consistently. In **Marketing Operations & Data**, it becomes the “organizational backbone” that determines how information rolls up (or drills down) across brands, regions, business units, and customers.
A **Revops Analyst** (Revenue Operations Analyst) is the person who turns go-to-market data into decisions that improve revenue performance. In the context of **Marketing Operations & Data**, the role sits at the intersection of marketing, sales, and customer success—ensuring that systems, reporting, and measurement reflect how revenue is actually created. Within **Marketing Operations**, a Revops Analyst often becomes the “source-of-truth” builder: aligning definitions, fixing tracking gaps, and producing insights that leaders can act on.
Agency Management is the discipline of selecting, onboarding, coordinating, and measuring external marketing partners so they reliably deliver outcomes—while protecting brand standards, budgets, timelines, and data integrity. In **Marketing Operations & Data**, Agency Management connects strategy to execution by ensuring agencies work from the same goals, definitions, and measurement frameworks as internal teams. In **Marketing Operations**, it turns “we hired an agency” into an operational system with governance, repeatable workflows, and performance accountability.
Revenue Operations (often shortened to RevOps) is the operating system that aligns people, processes, data, and technology across the full revenue lifecycle—typically marketing, sales, and customer success. In the context of **Marketing Operations & Data**, Revenue Operations brings structure to how demand is generated, captured, qualified, routed, measured, and converted into revenue. It turns “campaign activity” into an accountable, end-to-end revenue process.
Quality Assurance is the discipline of preventing mistakes before they reach customers, stakeholders, or reporting dashboards. In **Marketing Operations & Data**, **Quality Assurance** (often shortened to **QA**) means systematically verifying that campaigns, tracking, data pipelines, automations, and reports work as intended—and that the numbers people rely on are accurate and consistent.
Marketing Operations (often shortened to **MOPs**) is the function that makes marketing reliable, measurable, and scalable. In the context of **Marketing Operations & Data**, it connects strategy to execution by building the processes, systems, and governance that allow campaigns, attribution, and reporting to work consistently across channels.