RevOps & quote-to-cash glossary (2026)

Quote-to-cash

Quote-to-cash is the end-to-end revenue process from the moment a sales quote is created to the moment cash lands in the bank. It spans configuration and pricing, the quote, contract signature, order, invoicing, payment collection and revenue recognition. When the steps share clean data, deals close faster and revenue leaks less.

Example: a rep builds a quote in PandaDoc, the prospect signs, and the same record triggers a Stripe invoice without anyone re-keying numbers.

Lead-to-cash

Lead-to-cash is the full revenue lifecycle from a first inbound or outbound lead through to collected cash. It includes lead capture, qualification, opportunity, quote, close, invoice and payment, so it wraps quote-to-cash inside the earlier demand stages. Mapping it end to end exposes where prospects and money quietly fall out.

Example: a lead from a LinkedIn campaign flows into the CRM, becomes a deal, then an invoice, all on one connected timeline.

RevOps (Revenue Operations)

RevOps, or Revenue Operations, is the function that aligns marketing, sales and customer success around one revenue process, one data model and one set of metrics. It owns the CRM, the funnel definitions, the automations and the reporting, so that handoffs do not lose data and leadership trusts the numbers.

Example: a RevOps owner defines what MQL and SQL mean once, then enforces it across every tool so two teams stop arguing about pipeline.

GTM engineering

GTM engineering is the practice of building the go-to-market motion with software and data rather than headcount. A GTM engineer wires together a CRM, enrichment, outbound and orchestration tools through APIs and automations, so prospecting, qualification and follow-up run as a system. It is RevOps with a builder's toolkit.

Example: instead of hiring three SDRs, a GTM engineer builds a pipeline that enriches accounts, scores them and books meetings automatically. See how we work as an Attio consultant.

CRM

A CRM, or customer relationship management system, is the system of record for every company, contact and deal your business touches. It stores the data, the history and the pipeline, and it is the spine every other revenue tool connects to. In 2026 the CRM is also the substrate AI agents read from and write to.

Example: choosing between platforms usually comes down to data model and cost, which is why we wrote Attio vs HubSpot and Attio vs Salesforce.

CPQ (Configure-Price-Quote)

CPQ, short for Configure-Price-Quote, is software that turns a product selection into an accurate, approved quote. It enforces valid configurations, applies pricing rules and discount limits, then generates the document a prospect signs. CPQ removes the spreadsheet quoting that produces pricing errors and slow turnarounds in complex or bundled deals.

Example: a rep selecting three modules and a discount sees the system block an invalid combination and produce a clean quote in PandaDoc.

Dunning

Dunning is the structured process of recovering failed or overdue payments. After a card is declined or an invoice goes unpaid, a dunning sequence retries the charge and sends escalating reminders on a schedule until it succeeds or the account is paused. Good dunning recovers revenue that would otherwise churn silently.

Example: a failed subscription charge triggers an automatic retry plus reminder emails, and a tool like Upflow chases the late invoice.

Revenue engine

A revenue engine is the connected system of people, process and tooling that reliably turns demand into collected cash. It combines the CRM, automations, enrichment, outbound and reporting into one flow where each stage feeds the next. The phrase signals you treat revenue as a machine to be engineered, not a series of manual handoffs.

Example: a fund's revenue engine extracts meeting notes, enriches contacts, scores deals and reports pipeline without manual data entry. It is exactly what we build at Buildrhaus.

Waterfall enrichment

Waterfall enrichment is a data strategy that queries multiple providers in sequence until one returns the field you need. If the first source has no email or phone, the request cascades to the next, and the next, maximizing match rate while controlling cost. It is the standard way to enrich contacts and accounts at scale in 2026.

Example: a lookup tries one provider for a work email, falls through to a second and a third, and stops the moment a verified address comes back.

ICP (Ideal Customer Profile)

An ICP, or Ideal Customer Profile, is the precise definition of the company most likely to buy, stay and expand: industry, size, geography, tech stack, funding and trigger events. It is an account-level filter, not a persona. A sharp ICP focuses prospecting, scoring and spend on the accounts that actually convert.

Example: a fund defines its ICP as recently funded B2B SaaS companies in Europe, then targets only those for outbound. See our work for Attio for VC.

MQL vs SQL

An MQL (marketing qualified lead) is a contact whose behavior or fit suggests interest and that marketing hands to sales. An SQL (sales qualified lead) is one sales has accepted and confirmed worth pursuing. The MQL-to-SQL step is the marketing-to-sales handoff, and a leaky definition there is where pipeline forecasts go wrong.

Example: auditing one funnel we found 247 MQLs entered but only a handful became real SQLs, because the definitions were never agreed. More in Attio vs HubSpot.

Pipeline

Pipeline is the set of open deals moving through your defined sales stages, from first qualified opportunity to closed. Each deal carries a value, a stage and an expected close date, so pipeline shows likely future revenue and where deals stall. A clean pipeline is the single most-watched object in any CRM.

Example: a board showing 40 open deals across five stages tells a sales leader at a glance which deals have sat too long without a next step.

Churn

Churn is the rate at which customers or revenue leave over a period. Logo churn counts lost accounts, revenue churn counts lost recurring revenue, and net revenue churn nets expansion against losses. For subscription businesses churn matters as much as new sales, because it sets the ceiling on how fast ARR can grow.

Example: a SaaS losing 3% of revenue each month must add more than 3% in new and expansion revenue just to stay flat.

ARR & MRR

MRR is monthly recurring revenue, the predictable subscription revenue billed each month. ARR is annual recurring revenue, the same figure annualized (MRR times twelve). Both exclude one-off fees and count only recurring contracts. They are the core health metrics of any subscription business, tracked alongside their growth, expansion and churn components.

Example: 50 customers paying 200 EUR per month is 10,000 EUR MRR and 120,000 EUR ARR, reconciled against billing in Pennylane.

RevOps glossary, quick answers