RevOps glossary: 97 revenue operations and GTM terms, definedDefinitions, formulas and deep-dive links for the metrics and concepts B2B revenue teams argue about.

A commission rate increase that applies once a rep passes a quota threshold, for example 1.5x the base rate above 100% attainment. Accelerators reward overperformance and should be modeled against plan cost before launch.

A go-to-market strategy that targets a defined list of high-value accounts with coordinated, personalized marketing and sales plays instead of generating leads broadly. Success is measured by account engagement, pipeline and win rate on the target list.

Software built on a large language model that can take multi-step actions toward a goal, such as researching an account, updating CRM fields or drafting outreach, within defined permissions. Production GTM agents need clean data, guardrails, review steps and evaluation sets.

The average annualized value of a customer contract, excluding one-time fees. ACV is the number most pipeline, capacity and CAC math is built on.

The annualized value of all active recurring subscription contracts at a point in time. ARR excludes one-time services and usage that is not contractually committed.

The method of assigning credit for pipeline and revenue to the marketing and sales touches that influenced it. Attribution is only as good as the capture behind it: UTMs, form tracking and contact-to-deal associations.

The mean value of closed-won deals over a period. Track it by segment and source; a blended number hides the mix shifts that move forecasts.

An integration in which changes in either system update the other, as with the native HubSpot and Salesforce connector. It needs clear field ownership rules, or the two systems overwrite each other.

The value of contracts signed in a period, regardless of when revenue is recognized or cash is collected. Bookings lead revenue; revenue follows the accounting recognition schedule.

A funnel model that extends past closed-won into onboarding, adoption, expansion and renewal, so the shape looks like a bow tie. It treats post-sale stages as revenue stages, which matters most in recurring-revenue businesses.

A capital-efficiency metric that shows how much cash a company burns to add each dollar of net new ARR. Lower is better.

A private equity strategy that acquires a platform company and then adds smaller add-on acquisitions. Each add-on brings its own CRM, data and GTM processes, which have to be consolidated to realize the value.

The group of stakeholders who influence or approve a B2B purchase, typically including an economic buyer, champion, technical evaluators and procurement. Multi-threading means engaging several of them on each deal.

The number of months it takes for a new customer's gross-margin contribution to repay the cost of acquiring them.

The separation of a business unit from its parent company, often in a PE transaction. GTM systems, data and domains must be split from the parent, usually under a transition services agreement with a hard deadline.

The share of customers (logo churn) or recurring revenue (revenue churn) lost in a period. Revenue churn matters more for valuation; logo churn often surfaces problems first.

The pre-acquisition review of a target's market, customers and go-to-market engine. GTM diligence tests whether pipeline, conversion, retention and attribution numbers hold up when traced back to the CRM.

Marketing spend divided by the number of leads generated. CPL is easy to game; pair it with cost per opportunity and lead-to-opportunity rate.

Marketing or channel spend divided by the qualified opportunities it produced. It is a better efficiency measure than CPL because it accounts for lead quality.

Software that guides reps through product configuration, pricing rules, discounts and approvals to produce an accurate quote. Salesforce CPQ, HubSpot Quotes and DealHub are common options.

The system of record for accounts, contacts, deals and customer activity, such as HubSpot or Salesforce. In a healthy GTM stack, the CRM is where definitions live and every other tool syncs to.

Moving records, history, automation and integrations from one CRM or marketing automation platform to another, such as Salesforce to HubSpot or Pardot to HubSpot. The data move is the easy part; rebuilding logic and adoption is the work.

The fully loaded sales and marketing cost to acquire one new customer, including people, programs and tools. Blended CAC hides channel differences; calculate it by segment where you can.

A composite score that predicts retention or expansion risk from signals such as product usage, support tickets, engagement and payment history. It is useful only if CS acts on it.

The gross-margin revenue a customer is expected to generate over the full relationship. It depends heavily on churn assumptions, so treat it as an estimate.

The rate at which CRM data goes out of date as people change jobs, companies change size and emails bounce. B2B contact data decays continuously, so enrichment has to be ongoing, not one-time.

Appending missing firmographic, technographic or contact data to CRM records from third-party sources. Good enrichment scores ICP fit first so credits are spent only on records worth working.

A central analytical database, such as Snowflake or BigQuery, that combines CRM, product, billing and marketing data for reporting. Reverse ETL pushes modeled data back into GTM tools.

When an opportunity's close date moves out of the period it was forecast in. Repeated slippage on the same deal is one of the clearest forecast risk signals.

Finding and merging duplicate accounts, contacts or leads using matching rules and a survivorship rule that decides which values win. Bulk merges without survivorship rules overwrite owners and sources.

Marketing that creates awareness and buying intent in your market, as opposed to only capturing leads that already exist. It is measured in pipeline and revenue, not lead volume.

The three email authentication standards. SPF lists who may send for your domain, DKIM cryptographically signs messages, and DMARC tells receivers what to do when checks fail; bulk senders to Gmail and Yahoo must have all three.

The share of sent emails that reach the inbox rather than spam or a bounce. It depends on authentication, sender reputation, list quality and complaint rates.

The behavioral half of lead scoring: points for actions like demo requests, pricing page visits and email clicks, usually with decay so old activity stops counting.

The verifiable conditions a deal must meet to move from one sales stage to the next, such as a confirmed budget or a completed technical evaluation. They make stage probabilities meaningful.

Additional recurring revenue from existing customers through upsell, cross-sell, seat growth or price increases. It is the main driver of net revenue retention above 100%.

The rules that define how fields and picklist values in one system correspond to fields in another, used in integrations and migrations. Mismatched picklists are a top cause of sync errors.

An attribution model that gives 100% of the credit to the first recorded interaction. It shows which channels create awareness but ignores everything that converted the deal.

The demographic and firmographic half of lead scoring: how closely a lead or account matches your ICP on industry, size, role and technology. Fit should gate outreach before engagement is counted.

How close the forecast was to the actual result for a period. Track it by week of quarter to see when your forecast becomes reliable.

The rep's or manager's judgment of a deal's likelihood to close in the period, such as Pipeline, Best Case, Commit and Closed. Categories capture judgment; stages capture process.

Structuring content so AI assistants such as ChatGPT, Claude and Perplexity can find, understand and cite it. It favors answer-first copy, clear definitions, static tables and schema markup.

The share of starting recurring revenue kept after churn and downgrades, excluding expansion. GRR cannot exceed 100% and shows the health of the base.

The discipline of designing, building and running the systems that create and convert revenue: CRM data models, enrichment, routing, automation, integrations and AI agents.

A small cross-functional team, typically a consultant plus CRM, data and automation developers, that works in sprints on a company's revenue systems. It covers several skills without several full-time hires.

The set of tools a revenue team uses: CRM, marketing automation, enrichment, sequencing, conversation intelligence, CPQ, billing, BI and AI tools. Value comes from how well they share data, not how many there are.

A description of the companies most likely to buy, succeed and expand, defined by firmographics, technographics and situation. Good ICPs are built from closed-won and retention data, not opinion.

Signals that an account is researching a topic or solution, from first-party behavior (your site, product) or third-party sources (review sites, content networks). Intent is a prioritization input, not a lead.

Tracing a reported metric back through every calculation and system to its source event, to confirm the number means what leadership thinks it means.

An attribution model that gives 100% of the credit to the final interaction before conversion. It favors bottom-of-funnel channels like branded search and direct.

A person who has shown interest or been identified as a potential buyer but has not yet been qualified. Lifecycle stages define what happens next.

The rules that assign new leads and accounts to the right owner based on territory, segment, account ownership and capacity. Good routing includes SLAs, alerts and fallback owners.

A model that ranks leads by likelihood to buy, usually combining a fit score and an engagement score against a threshold that triggers handoff to sales.

The percentage of leads in a cohort that become qualified opportunities. Measure it by created-date cohort and source, not as a monthly snapshot.

A field that records where a contact or company sits in the buying journey, such as Subscriber, Lead, MQL, SQL, Opportunity and Customer. Stages need written entry criteria and should only move forward automatically.

Customer lifetime value divided by acquisition cost; a common rule of thumb is 3:1 or better. A very high ratio can mean under-investment in growth.

A SaaS sales-efficiency metric comparing new recurring revenue to the sales and marketing spend that produced it. Above 0.75 is generally read as efficient.

The function that runs marketing's systems, data and processes: marketing automation, lead management, campaign tracking and reporting. It is one part of a broader RevOps model.

A lead that meets marketing's agreed threshold for fit and engagement and is ready for sales follow-up. An MQL definition nobody in sales agreed to is the most common funnel failure.

Sourced pipeline is where marketing created the first qualifying touch; influenced pipeline is any opportunity marketing touched before close. Report both, and define them in writing.

The normalized monthly value of all active recurring subscriptions. MRR movements are usually split into new, expansion, contraction and churned.

An MQL is qualified by marketing on fit and engagement; an SQL is qualified by sales after a conversation confirms need, authority or timing. The gap between them is measured by the MQL-to-SQL conversion rate.

An attribution approach that splits credit across several touches in the buying journey using a rule (linear, U-shaped, W-shaped, time decay) or a data-driven model.

The percentage of starting recurring revenue retained after expansion, contraction and churn over a period, usually 12 months. Above 100% means the base grows without new customers.

A rep's total expected annual compensation at 100% of quota: base salary plus target variable pay. The base-to-variable split is usually 50/50 or 60/40 for closing roles.

A qualified potential deal tracked in the CRM with an amount, close date, stage and owner. Its creation criteria determine what counts as pipeline.

The total value of open, qualified opportunities expected to close in a given period. Pipeline is only as trustworthy as the opportunity creation rules and stage hygiene behind it.

Open pipeline for a period divided by the remaining quota or target. Typical targets range from 3x to 4x, depending on win rate.

The value of new qualified opportunities created in a period, by source. Pipegen targets are set by walking back from the bookings plan through win rate and cycle length.

How much revenue the pipeline produces per day, combining volume, win rate, deal size and cycle length in one number.

A go-to-market motion in which the product itself drives acquisition, activation and expansion through free trials or freemium tiers, with sales assisting larger accounts.

A user or account that has reached a usage milestone that predicts conversion, such as inviting teammates or hitting a feature threshold. PQLs replace or complement MQLs in PLG motions.

Actual bookings divided by quota for a rep or team. Look at the distribution: healthy teams have a majority of ramped reps near or above plan, not a few heroes.

The end-to-end process from configuring a quote through contract, order, invoicing, payment and revenue recognition. It spans CRM, CPQ, billing and finance systems.

The time a new rep takes to reach full productivity, usually measured as months to consistently hit full quota. It drives capacity planning and hiring timing.

The function that aligns marketing, sales and customer success around one operating model: shared definitions, systems, data, planning and reporting across the full revenue lifecycle.

Syncing modeled data from the warehouse back into operational tools such as the CRM or ad platforms, so reps and campaigns can act on it.

A SaaS benchmark stating that revenue growth rate plus profit margin should be at least 40%. It balances growth against efficiency.

An MQL that sales has reviewed and agreed to work, the formal handoff point between marketing and sales. Tracking SAL rate exposes disputes over lead quality.

The bookings a sales team can deliver in a period given its ramped headcount, quotas and attainment. It sets how much pipeline the plan requires.

The average days from opportunity creation to closed-won. Segment it by deal size and source; a longer cycle means pipeline must be built earlier.

The training, content, tools and coaching that help reps sell effectively. Good enablement is tied to measurable behaviors in the CRM, not one-off training.

The function that runs the sales organization's processes and tools: territories, quotas, compensation administration, deal desk and sales reporting.

A lead that sales has qualified through direct conversation as a real potential buyer, usually the point an opportunity is created.

Asking buyers on a form or in a call how they heard about you. It captures dark social, podcasts and word of mouth that software attribution misses.

Outbound prospecting triggered by buying signals such as a new executive hire, funding round, job posting or intent spike, instead of static lists.

One agreed system and definition for each key metric or record, so every report pulls the same answer. Usually the CRM for pipeline and the billing system for revenue.

The time from an inbound request to the first meaningful human response. Measure it as a median for demo and contact requests only, in business hours.

Dividing accounts among reps by geography, segment, industry or named list so each territory has balanced opportunity and coverage.

The total revenue opportunity if you won every account that fits your ICP. Bottom-up TAM counts real accounts in your data instead of using analyst totals.

An agreement in which the seller keeps providing systems or services to a carved-out business for a fixed period after close. The TSA end date is the hard deadline for GTM system separation.

Tags added to URLs (source, medium, campaign, term, content) that tell analytics and the CRM where a visit came from. A naming convention is what makes them reportable.

The post-acquisition plan a PE firm and management agree to grow the company's value, often with GTM levers such as pricing, pipeline, retention and efficiency in the first 100 days.

Querying several data providers in sequence and stopping at the first valid result, which raises match rates and controls cost compared with a single vendor.

The sum of each open opportunity's amount multiplied by its stage probability. It is only as good as the probabilities, which should come from your historical stage conversion.

The share of opportunities that close-won out of all opportunities closed in a period. Decide whether early-stage losses count, and keep it consistent.

A multi-touch model that gives most credit to three milestones, typically first touch, lead creation and opportunity creation, and spreads the rest across other touches.