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Revenue Operations Consulting
One Funnel. One Number.
One Operating System.
Most startups run marketing, sales, and customer success as three separate operations with three separate dashboards. We build the revenue operations layer that connects them into a single, measurable engine.
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The Challenge
Three Teams. Three Systems.
Zero Shared Truth.
In most cybersecurity and AI startups, marketing tracks its own metrics in one dashboard, sales manages pipeline in another, and customer success monitors health scores in a third. Each team optimizes for its own numbers, and nobody has a clear picture of how the full revenue engine is actually performing.
The consequences compound quickly. Leads get handed off without context. Pipeline stages mean different things to different people. Forecasts are assembled from spreadsheets instead of drawn from a shared system. And when the board asks how marketing spend connects to closed revenue, nobody can produce a confident answer. This is not a tools problem. It is an architecture problem, and it requires an operational solution that spans the entire revenue function.
Disconnected Handoffs
Leads move from marketing to sales to CS without a consistent data model or shared context. Every transition is a potential drop, and the systems that should track these handoffs often contradict each other instead of confirming.
Reporting That Fragments
Marketing reports on MQLs, sales reports on pipeline, CS reports on retention. But nobody can show the board one view of how a dollar invested in acquisition connects to a dollar of recurring revenue. The data exists, but it lives in silos that were never designed to talk to each other.
Process Without a System
Teams have processes, but those processes were built independently and often conflict. Lead definitions differ, pipeline stages overlap, and the cadences that should create cross-functional visibility end up producing cross-functional confusion.
What We Build
The Revenue Architecture
That Connects Everything
Revenue operations is not a tool implementation. It is the design of the operating system that sits across marketing, sales, and customer success, defining how data flows, how processes connect, and how leadership gets a real-time view of revenue performance from first touch to renewal.
For cybersecurity and AI startups, this matters more than most realize. Your deals involve long evaluation cycles, technical stakeholders who engage before commercial ones do, and procurement processes that can add months to a timeline. A RevOps architecture that does not account for these dynamics will produce forecasts that miss, attribution that misleads, and handoffs that lose the context your team worked hard to build. We design the operational layer that reflects how your business actually generates revenue, not how a generic SaaS model assumes it should.
How We Approach It
Revenue Process Audit
We map the end-to-end revenue process as it actually runs today, across marketing, sales, and CS. We document every handoff, every data flow, every definition gap, and every place where the process breaks or the data goes stale.
Unified Data Architecture
We design the shared data model that connects your CRM, marketing automation, and CS tools into one consistent source of truth. Lifecycle stages, deal stages, lead scoring, and attribution all get standardized so every team is measuring from the same foundation.
Cross-Functional Process Design
We redesign the handoff processes between marketing, sales, and CS with shared definitions, SLAs, and escalation paths. Every transition gets documented, automated where possible, and measured so gaps become visible before they become costly.
Revenue Reporting & Forecasting
We build the reporting layer that gives leadership a single view of the full funnel, from first touch through renewal. Pipeline velocity, conversion rates by stage, attribution by channel, and forecast accuracy, all drawn from the same unified data set.
Deliverables
- Revenue process audit report
- Unified data model and property architecture
- Lifecycle and deal stage definitions
- Cross-functional handoff SLAs
- Lead scoring and routing framework
- Full-funnel revenue dashboards
- Multi-touch attribution model
- RevOps governance and operating cadence
Outcome
A revenue operations architecture that gives your leadership team one shared view of the full funnel, with the data model, process design, and reporting infrastructure to make every revenue decision from evidence rather than intuition.
RevOps is one part of our sales practice.
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RevOps Built for Startups
That Sell to Technical Buyers
Most RevOps consultancies bring a SaaS playbook and apply it across industries. That works when you are selling a $20K deal with a 30-day sales cycle. It does not work when your buyers are CISOs running 90-day evaluations that require proof-of-concept, security review, and multi-stakeholder sign-off before procurement will even engage.
We work exclusively with cybersecurity and AI startups, which means every RevOps architecture we design accounts for the complexity your revenue teams actually face. We understand that your funnel has stages that standard models do not include, that your attribution needs to track technical engagement alongside commercial engagement, and that your forecast models need to account for evaluation cycles that stretch across quarters. The result is a RevOps system that actually reflects your business, not one that forces your business into a framework it will outgrow in six months.
Industry-Specific Data Models
Every lifecycle stage, deal stage, and attribution model we build reflects how cybersecurity and AI buyers actually evaluate and purchase. We account for the technical validation phases, the multi-threaded stakeholder engagement, and the procurement complexity that generic RevOps frameworks ignore.
Strategy + Execution in One Team
We do not just design the architecture and hand you a document. We also do marketing strategy, sales programs, HubSpot implementation, and demand generation. That means your RevOps system connects directly to the programs that fill the funnel and the infrastructure that measures it, with no handoff gaps between strategy and execution.
Built for Your Current Scale
We design RevOps architectures that match your current team size, deal volume, and tech stack, not an enterprise-grade system you will never fully use. Every component is built to be operational now and scalable as you grow, so you are not paying for complexity you do not need yet.
Revenue-Measured, Not Activity-Measured
We measure RevOps success in pipeline velocity, forecast accuracy, and revenue attribution clarity, not in dashboards shipped or integrations configured. If the operating system does not make revenue more predictable, the job is not done.
Ready to Unify Your Revenue Engine
Let's Build the RevOps Layer
Your Growth Depends On
Tell us where your revenue operations are today. We will show you what a unified system looks like for your stage, your market, and your team.