Turn GTM complexity
into measurable revenue.
We build RevenueOS — the operating system behind predictable B2B revenue. Forecasting, pipeline governance, CRM architecture and automation, connected end to end.
Market to revenue. One unbroken chain.
Seventeen steps sit between a market you've defined and a number your board believes. Most companies instrument four of them. RevenueOS connects all seventeen, so every metric downstream inherits the truth from the one above it.
- TAM / SAM
- ICP & personas
- Database intelligence
- Campaign strategy
- Lead generation
- Lead scoring & routing
- BDR qualification
- AI L1 call scoring
- SQO
- Stage intelligence
- MEDDPICC / deal intelligence
- Trial / POC
- Deal desk / commercials
- Forecast intelligence
- Closed won
- ARR / revenue
- Executive & board intelligence
What a connected revenue engine is worth.
Two kinds of numbers. The first four came out of real engagements. Everything after that is a direction we commit to moving, measured from your own baseline — because a team at 40% forecast accuracy and a team at 85% are not solving the same problem.
Your CRM has data.
Your GTM needs answers.
Nobody's system is broken in the abstract. It breaks in four specific, expensive places — and the same four show up in almost every engagement.
Six engines. Each ships as working infrastructure.
Engagements start where the gap is widest and compound from there. Nothing here is a deliverable in a deck — every engine runs against live data and your team owns it at the end. The metrics under each are what we instrument and optimise, set against your baseline.
Market & Data Intelligence
TAM and SAM sizing, ICP definition, personas, segmentation, territories and named accounts — on a database that's architected, enriched, deduped and governed.
Right market, trusted dataDemand & Qualification Intelligence
Campaign strategy, ABM, attribution, intent, lead scoring and routing — then AI L1 call scoring, MEDDPICC discipline and champion identification at the handoff.
More pipeline, better SQOsPipeline & Forecast Intelligence
Stage conversion, aging, velocity, deal scoring and stalled-deal detection, feeding commit, best case and upside with rep forecast measured against AI forecast.
Predictable revenueSeller Performance & Revenue Planning
Rep scorecards, call coaching and enablement gaps on one side; AOP, capacity, territories, quota architecture and compensation design on the other.
Efficient growthGTM Systems & AI Automation
CRM architecture, integrations, the GTM hub, workflows and AI agents that take over report assembly, hygiene checks, deal signals and alerting.
One connected GTM engineRevenue Command Center
CEO and CRO dashboards covering ARR, pipeline, forecast, funnel and productivity — plus the board, WBR and QBR intelligence that runs your operating cadence.
One source of revenue truthMigrate the stack. Onboard the team. Cut the spend.
Most GTM stacks grow by accident — a tool per problem, four systems holding the same record, and a licence bill nobody has audited in two years. We consolidate it into one connected hub, move the data without losing history, and get the team actually using it.
- 01Audit & mapEvery object, field, workflow and licence
- 02MigrateHistory preserved, validated, parallel run
- 03OnboardRole-based training, playbooks, adoption tracking
- 04OptimiseLicence right-sizing and vendor renegotiation
How the engine gets built.
A sequence, not a retainer. Every phase ends with something in production.
Diagnose
Two weeks inside your CRM, funnel and forecast. You get a ranked list of what's leaking and what it costs.
Design
The target operating model: metric definitions, stages, data model, cadence and ownership.
Build
CRM, dashboards, forecast model and deal desk shipped and running against live data.
Automate
AI agents and workflows take over the assembly work — reporting, hygiene checks, deal signals.
Scale
Operating cadence, quota and capacity models, and an internal team trained to run it without us.
Built by operators who carried the number.
OpsMetric is a revenue operations company. The work behind it comes from a decade inside high-growth B2B SaaS and AI businesses — running forecasting, pipeline governance, CRM transformation and board reporting as the team accountable for the number, not the agency advising on it.
That's the difference you'll feel in the first week. We've built the RevOps function from zero, sat in the forecast call when the number was short, and produced the analytics that went into investor diligence. We know which shortcuts hold and which ones fail at scale.
Every engagement ends with your team owning the system, not renting it from us.
Less reporting. More operating.
Engagement profile
The 14-day RevenueOS diagnostic.
Every engagement starts here. Two weeks inside your data, ending in a ranked list of where revenue is leaking, what each leak costs, and what to fix first. You keep the output whether or not we build anything together.
How the two weeks run
What you walk away with
- A baseline scorecard across market, data, demand, pipeline, forecast and systems
- Your revenue leaks, ranked and sized in pipeline terms
- Forecast variance and data health measured, not estimated
- Manual reporting hours counted and mapped to automation candidates
- A 90-day build sequence with owners and effort estimates
- A GTM stack assessment with consolidation and licence savings
Find where your revenue engine is leaking.
Fourteen days, inside your data, ending in a ranked list of what's costing you pipeline — and what to fix first.