Revenue Operations

Revenue Operations is the connective work between marketing, sales and customer success. We define your funnel stages, clean and govern your CRM data, wire the handoffs, and build reporting that survives a hard question from the founder. It suits teams running a real pipeline who cannot agree on what the numbers mean.

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CRM & Data Alignment Revenue Optimization Revenue Reporting Automation & Workflow Sales & Marketing Align Forecasting & Pipeline

Most revenue problems look like sales problems and are actually definition problems. Marketing counts a lead, sales counts an opportunity, finance counts closed revenue, and nobody reconciles the three. RevOps fixes that by writing down the lifecycle once, encoding it in the CRM, and making every dashboard read from the same fields instead of three parallel spreadsheets.

We start where the data lives. That usually means HubSpot, Salesforce, Zoho or Pipedrive, plus a marketing automation platform, an ads layer, a calendar tool and a spreadsheet somebody built in 2022 that half the team still uses. We map what each system owns, kill duplicate sources, and pick one system of record for accounts, contacts, deals and revenue.

From there the work is procedural. Stage exit criteria get written and enforced. Handoff SLAs get timers. Lead scoring gets a threshold that means something. Attribution gets a model the team agrees to argue inside of rather than about. Forecast categories get definitions so commit stops being a feeling and starts being a rule.

The output is not a slide deck. It is a working CRM, a documented process, a reporting pack on a fixed cadence, and a team that reads the same numbers on Monday morning. We also train the people who have to live in the system, because a clean process that nobody follows decays inside a quarter.

What we do

6 Revenue Operations services

Pick the one you need, or take the whole stack.

Clean, unified data

CRM & Data Alignment

One system of record for accounts, contacts and deals, with the governance rules that keep it clean after we leave.

Learn more Process improvement

Revenue Optimization

Find where deals leak, fix the stage that causes it, and shorten the path from first touch to signature.

Learn more Attribution & analytics

Revenue Reporting

Attribution models, pipeline dashboards and a reporting cadence that answers the questions leadership actually asks.

Learn more Streamlined operations

Automation & Workflow

Routing, SLA timers, lifecycle transitions and alerting built so the process runs without anyone remembering to run it.

Learn more Unified goals

Sales & Marketing Align

A shared funnel definition, a scoring model both teams believe in, and handoff SLAs with numbers attached.

Learn more Accurate predictions

Forecasting & Pipeline

Forecast categories with written rules, pipeline coverage you can defend, and a weekly review that produces decisions.

Learn more

Outcomes

What changes for your business

One number the team trusts

Pipeline, bookings and conversion rates come from one governed source. No more meetings that stall while two people compare exports from different tools.

Faster, cleaner handoffs

Leads reach a human inside a defined SLA window instead of ageing in a queue. Speed to first contact is one of the few levers that moves conversion reliably.

Visible stage leakage

Conversion by stage shows exactly where deals die. You stop guessing whether the problem is top of funnel volume or a broken demo to proposal step.

Marketing spend you can defend

Multi-touch attribution links spend to pipeline, not just to form fills, so budget conversations use pipeline contribution instead of channel opinion.

A forecast that holds up

Commit, best case and pipeline categories carry written rules. Forecast accuracy becomes something you measure and improve rather than something you hope for.

Less manual admin

Routing, task creation, stage hygiene checks and reporting refreshes run automatically, which returns selling hours to the people paid to sell.

Our process

How we run a Revenue Operations engagement

Audit

We inventory every system touching revenue, pull a raw data extract, and score record quality: duplicates, blank required fields, orphaned deals, stale opportunities and broken owner assignment.

Define

We write the lifecycle in plain language. Lead, MQL, SAL, SQL, opportunity, customer. Each stage gets an entry trigger, an exit criterion, an owner and a maximum time allowed in stage.

Rebuild

Fields, pipelines, properties and permissions get restructured in the CRM to match the definitions. Legacy data is cleaned, deduplicated and backfilled so historical reporting stays usable.

Automate

Routing rules, SLA timers, lifecycle stage transitions, task creation and alerting are built and tested against real records, then released with rollback notes and an owner for each workflow.

Operate

Dashboards go live on a weekly, monthly and quarterly cadence. We run the first reviews with your team, log data quality exceptions, and hand over documentation and training.

FAQ

Questions about Revenue Operations

What is the difference between RevOps and sales ops?

Sales ops serves the sales team: territories, quotas, CRM admin, commission support. RevOps covers the full revenue chain, so marketing, sales and customer success sit under one process and one data model. If your handoff between marketing and sales is the weak point, sales ops alone will not fix it because the problem lives between the two functions.

Do we need a specific CRM for this to work?

No. We work in HubSpot, Salesforce, Zoho and Pipedrive most often, and the principles carry across all of them. What matters more is that you commit to one system of record. If deals live in the CRM but the real pipeline is tracked in a spreadsheet, the tool choice is not your constraint.

How long before we see anything useful?

A first audit and definition set usually lands within two to three weeks. CRM rebuild and data cleanup run four to eight weeks depending on record volume and how many integrations are involved. Reporting typically goes live alongside the rebuild, and forecast accuracy improves over two to three full cycles, not overnight.

Our data is genuinely messy. Is that a blocker?

It is the normal starting point. Duplicates, free text fields where picklists belong, and five variations of the same company name are standard. We clean what is worth cleaning, archive what is not, and put validation and deduplication rules in place so the mess does not rebuild itself after handover.

Will this create more admin work for the sales team?

It should reduce it. Most sales admin comes from unclear fields, manual routing and reporting requests. We remove fields nobody uses, automate what can be automated, and keep required inputs to the small set that reporting actually depends on. If a field does not feed a decision, it does not stay.

Can you guarantee revenue growth?

No, and be careful with anyone who does. RevOps improves visibility, speed and consistency. Those usually help conversion and forecast accuracy, but revenue also depends on your offer, pricing, market and sales execution. We commit to the systems, the data quality and the reporting, and we measure the operational metrics honestly either way.

Do you stay involved after implementation?

Both options exist. Some clients take full handover with documentation and training. Others keep us on a monthly retainer for reporting cadence, data quality audits, workflow changes and new pipeline builds as the business changes. Retained work is usually lighter than the build phase and priced accordingly.

Explore

Let us build your Revenue Operations stack.

Free consultation, honest scoping, no pressure. Tell us what you need.

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