Revenue operations for sales teams

We build the systems, data structures, and reporting that keep sales, marketing, and customer success working from the same numbers, so your forecast is a calculation.

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Every team has its own version of the same number

Ask marketing, sales, and finance for last quarter's pipeline figure and you'll often get three different answers, not because anyone's wrong, but because each team's counting from a different definition, a different field, or a different export. Reps update stages inconsistently, a "qualified lead" means something different depending on who you ask, and by the time a number reaches the board, nobody's fully sure what it's actually measuring.

None of that is a reporting problem you fix with a better dashboard. It's a data and definition problem underneath the dashboard, and it's the same root cause whether it shows up as a forecast nobody trusts, a lead handoff that stalls, or a churn number that surprises everyone in the renewal call.

What RevOps for sales covers

The operational backbone that keeps revenue data honest: pipeline hygiene and data structures that hold up under scrutiny, forecasting and reporting built on real numbers, shared definitions that survive every handoff between marketing, sales, and customer success, systems and integrations that actually talk to each other, and dashboards that give everyone the same view.

Pipeline hygiene and data structure

Forecasting and reporting

Cross-functional definitions

Systems and integrations

Dashboards and visibility

How do we do it?

How we build your RevOps setup

01

Audit

We examine your CRM data directly, not just the dashboards built on top of it, to find where definitions diverge and where data actually breaks down.

02

Design

We define shared definitions, data structures, and reporting logic around how your teams actually work, not a generic RevOps template.

03

Build

We implement the structure, automations, and integrations in your CRM, so consistency is enforced by the system rather than by good intentions.

04

Roll out

We train your teams on the new structure and definitions, so the change sticks rather than reverting within a quarter.

05

Refine

We monitor data quality and forecast accuracy on a set cadence, and fix whichever part has started drifting.

What you get

Documented, shared definitions for every stage and qualification standard

A CRM structure that enforces data hygiene rather than relying on rep discipline

A forecast model built on trustworthy, stage-level data

Integrations connecting your CRM to the rest of your revenue stack

Reporting and dashboards leadership can act on without a reconciliation exercise first

What Blend brings

Why choose Blend for RevOps?

phil looking at seans screen

We build RevOps around the whole lifecycle

The same team that finds the problem builds the fix

We structure your data for the AI layer, not just this quarter's dashboards

We keep monitoring it after go-live

Meet the team

Some of the people you might work with on your RevOps setup, from audit through ongoing refinement.

Josh Bouk

CEO, Americas

Phil Vallender

Co-Founder & Director of Strategy

Amanda McGrath

Commercial Director

Andrew Manchester

Growth Strategist

Joe Bouk

Junior RevOps Engineer

Simran Toor

Director of Global Accounts

The best B2B companies grow by design, not by chance

They align their teams, eliminate friction, and build revenue infrastructure that compounds over time. That's what we engineer. Let's fix your revenue engine.

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