Revenue Operations Consulting

RevOps That Connects Pipeline to Revenue

When demand gen runs without pipeline visibility, you spend but on what?

The Problem

Pipeline data that nobody trusts

CRM data is incomplete. Lead routing is manual. Marketing and sales are using different definitions of a qualified lead. There's no closed-loop attribution, so nobody can answer the question that matters: which marketing activities actually produced revenue?

This isn't a tooling problem. Most companies already have HubSpot or Salesforce. The problem is the data model underneath. Without a shared definition of stages, a consistent lead scoring framework, and routing rules that match your go-to-market, the CRM is a database, not a revenue system.

What It Costs

Decisions made on opinion, not data

Marketing spend without attribution

Budget goes out. Leads come in. But nobody can connect a campaign to a closed deal with confidence. Every budget conversation is a negotiation, not a review.

Sales doesn't trust the leads

Marketing says they sent 200 MQLs. Sales says they were junk. Without a shared scoring model and routing criteria, both teams are right from their own data.

CEO can't make budget decisions

When pipeline reporting can't answer "where did this come from" and "what should we spend more on," budget decisions default to last year's numbers plus a gut feel adjustment.

Pipeline reviews are opinion

Weekly pipeline meetings where everyone has a different number. Forecasts based on stage names that mean different things to different reps. The pipeline is a list, not a predictive tool.

What We Build

The revenue operations system underneath your CRM

OM practitioners build the data model, scoring, routing, and reporting layer that turns your CRM into a revenue system. Not a CRM migration. Not a dashboard project. The operational architecture that connects demand generation spend to closed revenue.

This connects to the Five Patterns diagnostic. When pipeline is disconnected from revenue, it's a structural problem, not a reporting problem. The fix starts with the data model and works outward to lead scoring, routing, stage definitions, and attribution.

Revenue Waterfall — ARR target worked backwards through conversion rates to required MQL count, showing assumptions at each stage

Data model and CRM architecture

Stage definitions, object relationships, and field mapping that reflect how your business actually sells. Built for reporting accuracy, not CRM vendor defaults.

Lead scoring and routing

Scoring criteria aligned to ICP and buying signals. Routing rules that match leads to the right rep at the right time. No manual assignment spreadsheets.

Pipeline reporting mapped to revenue stages

Reports that answer "where did this pipeline come from" and "what's the conversion rate at each stage." Forecasts grounded in data, not rep confidence levels.

Attribution model

Multi-touch attribution that connects marketing activities to closed revenue. Not a vanity dashboard. A system that tells you which programs to fund and which to cut.

Proof

Control and accountability

"Outcome Marketing isn't for the faint of heart — it's for serious leaders that want to own the controlled growth of their businesses on their terms."
Mark Larsen, Founder & CEO, Cask NX

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