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Business & People Ops 90 days 2-3 hours/day updated 2026-06-01

RevOps 90-Day Learning Path

Build RevOps skills in 90 days: CRM operations, revenue attribution, pipeline analytics, go-to-market toolchain management, and cross-functional alignment that accelerates predictable revenue growth.

What RevOps means

RevOps (Revenue Operations) unifies sales, marketing, and customer success operations under a single operational framework to drive predictable revenue growth. RevOps teams own the go-to-market tech stack, revenue data infrastructure, pipeline analytics, attribution modeling, and process automation. By eliminating handoff friction and providing a single source of truth for revenue data, RevOps enables GTM teams to operate more efficiently.

Who should follow this path

  • Sales operations professionals expanding into full RevOps
  • Marketing operations engineers building the GTM tech stack
  • Revenue analysts and BI professionals in SaaS companies
  • CRM administrators evolving into strategic RevOps roles
  • GTM leaders wanting analytical and operational depth

Prerequisites

  • Working experience with a CRM (Salesforce or HubSpot)
  • Basic SQL and spreadsheet modeling skills
  • Understanding of sales pipeline and marketing funnel concepts
  • Some exposure to marketing automation tools
  • Familiarity with SaaS business metrics (ARR, MRR, churn)

The 90-day plan

Daily study recommendation: 2-3 hours/day, six days a week. Consistency beats intensity — block the time in your calendar like a meeting.

Days 1–15: Foundation

  • RevOps scope: sales ops + marketing ops + CS ops unified
  • Revenue operations maturity model
  • Go-to-market motion types: PLG, SLG, and hybrid
  • Revenue metrics: ARR, MRR, NRR, churn, CAC, LTV
  • RevOps charter and team structure models

Outcome: Audit a GTM org’s RevOps maturity and define a 90-day improvement roadmap.

Days 16–30: Core concepts

  • Salesforce CRM architecture and data model
  • HubSpot CRM operations and automation
  • Lead routing and territory management
  • Sales process definition and stage criteria
  • CRM data hygiene and deduplication

Outcome: Configure a CRM with clean data model, routing rules, and sales process stage gates.

Days 31–45: Tools and workflows

  • Revenue attribution modeling (first-touch, last-touch, multi-touch)
  • Marketing-to-sales funnel analytics
  • Pipeline coverage and velocity analysis
  • Forecasting models: weighted pipeline and AI-assisted
  • Win/loss analysis methodology

Outcome: Build a revenue attribution and pipeline analytics model with weekly forecasting reports.

Days 46–60: Hands-on projects

  • GTM tech stack audit and rationalization
  • Marketing automation with Marketo and HubSpot
  • Sales engagement platforms: Outreach and Salesloft
  • Revenue intelligence: Gong and Chorus
  • Integration strategy: CRM + marketing + CS data unification

Outcome: Audit and rationalize a GTM tech stack and implement bi-directional CRM integration with key tools.

Days 61–75: Advanced practices

  • Customer success operations and renewal tracking
  • QBR (quarterly business review) process operations
  • Compensation plan design and commission automation
  • Quote-to-cash process optimization (CPQ tools)
  • RevOps data governance and single source of truth design

Outcome: Implement a customer success retention dashboard and automate QBR preparation workflows.

Days 76–90: Portfolio, interview & certification prep

  • RevOps portfolio project
  • Preparing for Salesforce Administrator and HubSpot RevOps certs
  • RevOps interview questions
  • Metrics: pipeline coverage, forecast accuracy, CAC payback period, NRR
  • Emerging: AI-assisted forecasting, CRM copilots, PLG analytics

Outcome: Deliver a RevOps analytics project and be interview-ready for RevOps and sales operations roles.

Weekly outcomes at a glance

PhaseOutcome
Days 1–15Audit a GTM org’s RevOps maturity and define a 90-day improvement roadmap.
Days 16–30Configure a CRM with clean data model, routing rules, and sales process stage gates.
Days 31–45Build a revenue attribution and pipeline analytics model with weekly forecasting reports.
Days 46–60Audit and rationalize a GTM tech stack and implement bi-directional CRM integration with key tools.
Days 61–75Implement a customer success retention dashboard and automate QBR preparation workflows.
Days 76–90Deliver a RevOps analytics project and be interview-ready for RevOps and sales operations roles.

Tools to learn

  • Salesforce
  • HubSpot
  • Marketo
  • Outreach
  • Gong
  • Looker
  • Tableau
  • Clari
  • LeanData
  • Workato
  • Segment
  • Mode Analytics

Labs to practice

Mini projects

  • Build a Salesforce-based revenue dashboard with pipeline velocity, forecast accuracy, and win/loss analytics in Tableau
  • Implement a multi-touch attribution model in HubSpot connecting marketing spend to closed-won revenue
  • Create an automated QBR preparation system pulling Gong, Salesforce, and support data into a Notion template

Interview questions to prepare

  1. What is the difference between RevOps and sales operations?
  2. How do you define and track pipeline health metrics?
  3. Explain multi-touch attribution and its limitations.
  4. How would you build a revenue forecasting model for a $10M ARR SaaS company?
  5. What does NRR (Net Revenue Retention) tell you and how do you improve it?
  6. How do you manage CRM data quality at scale?
  7. Describe how you would align marketing and sales on a shared funnel definition.
  8. What is quote-to-cash and what are the key process steps?

Certification suggestions

  • HubSpot Revenue Operations Certification — HubSpot Academy
  • Salesforce Certified Administrator — Salesforce
  • Salesforce Certified Revenue Cloud Consultant — Salesforce
  • Google Analytics Individual Qualification — Google

Browse the full certification registry for exam details and official links.

Free resources

Prefer live, guided training with mentors and certification support? DevOpsSchool.com runs paid instructor-led programs that pair well with this free path.

Explore paid training on DevOpsSchool.com ↗