How to Build a Revops Strategy
Revops is the function that aligns sales, marketing, and customer success under a shared operational framework — unified data, consistent processes, integrated technology, and shared performance metrics. Done well, it makes the entire revenue organisation more predictable, more efficient, and easier to scale.Done poorly — or not at all — the result is the familiar dysfunction: marketing and sales arguing over lead quality, CRM data that nobody trusts, forecast conversations that turn into debates about stage definitions, and a technology stack that generates noise rather than insight.
Building a RevOps strategy is not primarily a technology project. It's a process and data alignment project, with technology as the enablement layer.
What RevOps Actually Owns
Before building a strategy, clarity on scope is essential. RevOps owns four domains:
Process: The defined motion for how the revenue organisation works — sales stages and exit criteria, lead qualification and routing, handoff processes between SDR and AE, AE and CS, and CS and expansion. RevOps designs and maintains these processes, and monitors adherence. Data: The integrity and completeness of the data that the revenue organisation runs on — CRM hygiene, field definitions, stage logic, contact and account data standards, and the reports that surface how the business is performing. Technology: The evaluation, selection, implementation, and ongoing management of the sales and marketing technology stack — ensuring tools are integrated, data flows are clean, and the stack as a whole serves the revenue motion rather than complicating it. Analytics: The reporting and analysis function that translates data into decisions — pipeline health, forecast accuracy, conversion rates, rep performance, and the pattern analysis that identifies where the revenue process is working and where it isn't.The Four-Phase Framework for Building a RevOps Strategy
Phase 1: Diagnose the current stateBefore designing anything new, understand what's broken and what's working. A RevOps diagnostic covers:
CRM audit: What's the current state of CRM data quality? Which fields are incomplete, inconsistent, or meaningless? What does the pipeline look like today and how much of it is real? Process audit: Does the team have a defined sales process? Are stage definitions consistent across reps? Is there a shared qualification methodology? Where are deals most frequently stalling? Technology audit: What tools are in the stack? Which are actively used? Which are duplicative or abandoned? Where are data integration gaps? Reporting audit: What reports does the organisation currently use? Are they trusted? Are they built manually or automated? What decisions are they actually informing?The output of the diagnostic is a prioritised list of the specific problems the RevOps strategy needs to solve — not a generic best-practice framework imposed from outside.
Phase 2: Define the process architectureRevOps strategy starts with process, not technology. The technology should serve the process; the process should not be designed around the technology.
Process architecture decisions to make:
Sales stage definitions and exit criteria: Define each stage with buyer-verifiable exit criteria based on your qualification methodology ( MEDDPICC strongly recommended). Every stage name should reflect buyer progress, not seller activity. Lead qualification and routing: Define what a qualified lead looks like, how inbound leads are qualified and assigned, and what the SDR-to-AE handoff requires. Opportunity management standards: Define what information must be captured on every opportunity at each stage — the CRM fields that are required, not optional. Customer success handoff: Define the AE-to-CS handoff — what information transfers, what commitments are documented, and what the customer's success criteria are. Phase 3: Design the data modelThe data model translates the process architecture into CRM structure. Every process decision has a corresponding data decision.
Data model decisions to make:
Required fields by stage: Which CRM fields must be populated before a deal can advance? These should map directly to exit criteria. Qualification field definitions: MEDDPICC elements need custom fields — not free text notes fields, but structured fields with defined values that can be reported on and scored. Contact and account standards: How are accounts deduplicated? What are the required fields on a contact record? How is account ownership defined? Activity data capture: What call, email, and meeting data flows automatically to CRM from engagement and intelligence tools? What requires manual entry? Phase 4: Build the technology stackWith process and data model defined, the technology decisions become substantially clearer. The stack should be evaluated against a simple question: does this tool enable the process we've defined and improve the data quality we need?
A foundational growth-stage SaaS RevOps stack:
| Layer | Function | Tool Options |
| --- | --- | --- |
| CRM | System of record | Salesforce, HubSpot |
| Sales engagement | Outbound execution | Salesloft, Outreach, Apollo |
| Prospecting data | Contact and company data | Apollo, Cognism, ZoomInfo |
| Deal intelligence | Qualification, coaching, forecast | Brazn |
| Call recording (if separate) | Conversation analysis | Gong, Chorus |
| Marketing automation | Lead generation and nurture | HubSpot, Marketo, Pardot |
| Revenue analytics | BI and reporting | Salesforce native, Looker, Clari |
| Document management | Proposals, contracts | DocuSign, PandaDoc |
Building the RevOps Reporting Framework
A RevOps strategy without a reporting framework is an opinion. The reports that operationalise a RevOps strategy:
Weekly pipeline health report:Stage distribution, deal scores, MEDDPICC coverage by deal, risk flags, and changes from last week. Generated automatically from CRM and intelligence tool data. Delivered before the Monday pipeline review.
Weekly forecast report:Current commit, best case, pipeline coverage ratio, and the AI-weighted forecast from qualification signals. The two numbers the CRO needs before the forecast call.
Monthly funnel conversion report:Conversion rates at every stage transition — Lead to MQL, MQL to SQL, SQL to Opportunity, Opportunity to Stage 3, Stage 3 to Close. Where is pipeline stalling? Where is the process leaking? This is the diagnostic report that drives process iteration.
Monthly rep performance report:Pipeline generated, quota attainment, average deal size, win rate, average sales cycle length, and MEDDPICC coverage score per rep. The coaching input report.
Quarterly win/loss report:Pattern analysis across won and lost deals — by deal size, segment, competitive situation, and qualification completeness. The strategy input report.
Common RevOps Strategy Mistakes to Avoid
Building the tech stack before defining the process. Technology cannot compensate for an undefined process. Every tool you add before process clarity creates a new source of noise. Creating CRM fields nobody uses. Field proliferation is as damaging as field scarcity. Add only fields that are reported on and that inform decisions. If a field isn't in a regular report, it won't be maintained. Treating RevOps as a reporting function rather than a process function. Reports that aren't connected to process changes are interesting but not valuable. Every RevOps report should have a clear decision it informs and a process response it can trigger. Designing for current scale rather than next scale. A RevOps architecture designed for 5 AEs will need to be rebuilt for 25. Design for where you'll be in 18 months, not where you are today.How Brazn Fits in the RevOps Strategy
Brazn is the deal intelligence layer in the RevOps stack — providing the MEDDPICC-aware qualification data that makes CRM trustworthy, the deal scoring that makes the forecast reliable, and the coaching analytics that give managers objective input for rep development. For RevOps teams building the infrastructure for a predictable revenue organisation, Brazn's auto-enrichment of CRM qualification fields eliminates the single largest source of CRM data degradation: rep self-reporting.
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About the Author
Alex Margarit, Sales AI Expert, SaaS Sales Leader, BMC, ServiceNow, Docusign — 25+ years in SaaS sales.