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Glossary

RevOps

RevOps (revenue operations) aligns marketing, sales, and customer success around one funnel, one data set, and one shared set of metrics — so the whole revenue motion runs as a single system instead of three silos. Rather than each team optimizing its own dashboard, RevOps gives everyone a common source of truth for pipeline, attribution, and goals. In dolv, that source of truth is one unified TOFU/MOFU/BOFU funnel with built-in attribution, a CRM, and agents that execute the operational work.

See RevOps run on one funnel — get a demo Explore funnel intelligence

What RevOps actually is

Revenue is rarely one team's job. Marketing fills the top of the funnel, sales works the middle and bottom, and customer success protects revenue after the deal — and each function tends to grow its own tools, definitions, and numbers. RevOps collapses that sprawl into a single operating system for revenue. It gives the three functions one funnel, one data layer, and one shared scorecard, so a lead, an opportunity, and a renewal are all measured the same way. The defining trait of RevOps is alignment: everyone optimizes the same pipeline against the same baseline.

That makes RevOps the connective tissue under modern GTM AI — it is the data, the metrics, and the process discipline that let go-to-market work move as one motion instead of a relay race with dropped handoffs.

Why RevOps matters

The cost of misalignment is silent but expensive. When marketing reports MQLs, sales reports pipeline, and success reports churn — each from a different tool with a different definition — no one can agree on what actually moved revenue. Forecasts drift, leads fall through handoff gaps, and budget gets spent on channels that only look good in a last-touch report. RevOps closes those gaps. It removes the swivel-chair work between systems, ties every action back to one funnel score so you can tell signal from noise, and gives leadership a single number to steer by. The result is a revenue motion that compounds instead of leaking.

How dolv does RevOps

In dolv, RevOps is wired into the product, grounded by default in your company profile, playbooks, and knowledge base. dolv maps live metrics from 20 read-and-write integrations onto one unified TOFU/MOFU/BOFU funnel, scores it against a rolling 30-day baseline, and weights the stages into a composite health score (TOFU 0.25, MOFU 0.40, BOFU 0.35). A cross-metric correlation engine and multi-touch attribution across five models show which work actually moved revenue, while intent-signal lead scoring and a full CRM keep marketing and sales reading the same pipeline.

The operating layer is built in too. Set a North Star, track OKRs, and run ICE-prioritized experiments validated by a real z-test, so the revenue team works one shared list. And the repetitive RevOps work doesn't sit on a checklist — a grounded command center with 25+ tools and a Director coordinating multiple agents (each with a role, a $250/mo budget cap, and full run history) executes it, with human-in-the-loop Approvals on anything public. One source of truth, executed — not just dashboarded.

In practice

One funnel, three teams, one number

Say BOFU conversion slips for two weeks. In dolv the composite health score dips, and the correlation engine flags that the drop tracks a fall in MOFU demo requests — which traces back to a paused LinkedIn Ads campaign. Marketing, sales, and success all see the same story on the same funnel, so there's no debate over whose number is right. An agent drafts the fix — relaunch the campaign, re-score the stalled leads in the CRM — and routes the public send to Approvals for sign-off. You approve, it executes, and the funnel score recovers against the 30-day baseline. dolv it.

Keep learning

FAQ

RevOps questions

Quick answers to what people ask about revenue operations.

What is RevOps?

RevOps (revenue operations) is the practice of aligning marketing, sales, and customer success around one funnel, one data set, and one shared set of metrics so the whole revenue motion runs as a single system. Instead of three teams optimizing in silos, RevOps gives them a common source of truth for pipeline, attribution, and goals. In dolv, that source of truth is one unified TOFU/MOFU/BOFU funnel with built-in attribution, a CRM, and agents that execute the operational work.

How is RevOps different from sales operations?

Sales operations optimizes one team — the sales org — around quotas, territories, and the CRM. RevOps spans the entire revenue journey: marketing demand, sales pipeline, and customer success retention, all measured on one funnel. The point of RevOps is to remove the handoff gaps between those functions, which is why dolv maps every stage onto a single TOFU/MOFU/BOFU funnel and one composite health score rather than separate dashboards.

How does dolv support RevOps?

dolv maps live metrics from 20 connected integrations onto one TOFU/MOFU/BOFU funnel, scores it against a rolling 30-day baseline, and weights the stages into a composite health score (TOFU 0.25, MOFU 0.40, BOFU 0.35). Multi-touch attribution across five models, a cross-metric correlation engine, intent-signal lead scoring, a full CRM, and a North Star with OKRs and ICE experiments give the revenue team one operating picture — and grounded agents execute the repetitive ops behind it.

Stop reconciling dashboards, start running

Run RevOps on one funnel

One funnel, one data set, one set of metrics — with grounded agents that execute the ops and human-in-the-loop approvals on anything public. dolv it.

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