The RevOps Maturity Model: where most B2B companies actually sit
A practical framework for assessing whether your revenue operations are stage 1 reactive or stage 4 predictive — and what to do next.
Read the full post →The challenges that come up in nearly every conversation we have with clients about revenue operations.
When forecasts are wrong, every downstream decision is wrong. The root cause is rarely the forecast itself — it is upstream pipeline hygiene, stage definitions, and inspection cadences.
Marketing reports MQLs. Sales reports pipeline. CS reports NRR. Each has its own number, and none of them reconcile. RevOps is how you fix that.
Most revenue teams run on 15-30 tools. The ones that work share data; the ones that do not create silos. We rationalize stacks and connect what is left.
Post-cookie attribution requires new architecture — first-party data, server-side tracking, and modeled attribution. Most teams are 6 months behind where they need to be.
Sales reps avoid CRMs that punish them with data entry. The fix is upstream — better UX, smart defaults, AI-assisted updates, and process redesign.
Comp and quota design are often treated as finance problems. They are RevOps problems. The wrong design will produce the wrong behavior every time.
Each represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Salesforce Sales Cloud, HubSpot Sales Hub, Microsoft Dynamics 365. From greenfield implementations to deep optimization of mature instances.
Stage definitions, exit criteria, inspection cadences, opportunity hygiene, MEDDPICC operationalization, and forecasting frameworks.
Marketing platform implementation and tuning (Marketo, Pardot, Marketing Cloud, HubSpot), lifecycle architecture, lead scoring, and routing.
First-party attribution architectures, multi-touch modeling, marketing-sourced pipeline, and customer journey analytics built for the post-cookie world.
Health scoring, renewal forecasting, expansion playbooks, and CS platform implementation (Gainsight, Totango, Churnzero, Vitally).
Comp plan design, quota setting methodology, and SPM platform implementation (CaptivateIQ, Spiff, Xactly).
Every engagement produces working artifacts your team can use long after we leave.
We are platform-neutral and pick what fits — but here are the tools where our team carries deep, hands-on certification.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Every engagement leverages reusable assets — frameworks, blueprints, and diagnostics built up over hundreds of client projects.
A blueprint for stage definitions, exit criteria, and inspection cadences that produces forecasts you can actually trust.
Our framework for connecting marketing, sales, and customer success into one revenue motion with shared metrics and clean handoffs.
A blueprint for closed-loop attribution that survives third-party cookie deprecation and ties revenue back to campaigns reliably.
A focused assessment of where CRM adoption is breaking down and a prescriptive plan for raising data quality and seller engagement.
Revenue Operations engagements run across regulated and complex industries. Each combines this capability with sector-specific expertise and regulatory awareness.
Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
Documented solution architecture, realistic timeline, and a transparent commercial proposal. No surprises and no hidden scope.
Configuration, development, integrations, data migration, and QA — with weekly demos, regular client touchpoints, and on-the-fly adjustments.
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live — we stick around until success metrics are confirmed.
Practitioner-level analysis from the consultants delivering the work.
A practical framework for assessing whether your revenue operations are stage 1 reactive or stage 4 predictive — and what to do next.
Read the full post →Connect the systems that run your business — CRM, ERP, billing, data, AI, analytics — into one cohesive architecture.
Learn more →Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy — all under one practice.
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