Reference
Revenue Analytics Glossary
52 terms defined for revenue operations, sales analytics, and marketing attribution teams. Every definition includes practical context for B2B SaaS.
Categories: Attribution & MeasurementEngagement & SignalsMetrics & KPIsPipeline & ForecastingRevenue Operations
A
Account-Based Marketing (ABM) Metrics & KPIs
A strategic approach that concentrates sales and marketing resources on a defined set of target accounts, treating each account as a market of one.
Annual Recurring Revenue (ARR) Metrics & KPIs
The annualized value of recurring subscription revenue — the predictable revenue baseline and primary valuation denominator of every SaaS business.
B
Burn Multiple Metrics & KPIs
Net cash burned divided by net new ARR — a measure of how much you spend to generate each dollar of new recurring revenue, popularized by David Sacks.
Buying Committee Engagement & Signals
The group of stakeholders within a prospect organization who collectively influence or make the purchasing decision: economic buyers, technical evaluators, end users, and executive sponsors.
C
CAC Payback Period Metrics & KPIs
The months required to recoup acquisition cost through subscription revenue — the metric that determines reinvestment speed.
Champion Activity Engagement & Signals
The observable engagement behaviors of an internal advocate within a prospect organization: content sharing, internal meeting coordination, and response patterns.
Commit vs. Best Case Pipeline & Forecasting
Commit is the deals a sales leader stakes their forecast on; best case is the optimistic scenario. The gap between the two reveals how much risk lives in the forecast.
Customer Acquisition Cost (CAC) Metrics & KPIs
The total sales and marketing spend required to acquire one new customer, calculated as total S&M expense divided by new customers acquired in a period.
D
Dark Funnel Attribution & Measurement
Buyer activities that influence purchasing decisions but cannot be tracked by traditional analytics: word-of-mouth, private communities, podcasts, and offline conversations.
Deal Slippage Pipeline & Forecasting
The movement of a forecasted deal from one period to a later one, or its removal from the forecast entirely — a key qualification signal.
E
Engagement Scoring Engagement & Signals
Quantifies a prospect's interaction intensity across channels into a composite score that indicates buying readiness.
Executive Engagement Engagement & Signals
The degree of involvement from VP-level and above stakeholders in a prospect organization during the sales process — a closing condition, not a nice-to-have.
Expansion Revenue Metrics & KPIs
Additional recurring revenue from existing customers through upsells, cross-sells, and add-ons — cheaper and faster to close than new-logo acquisition.
F
First-Touch Attribution Attribution & Measurement
Assigns 100% of conversion credit to the first marketing interaction a prospect has with your brand — useful for measuring awareness, not pipeline.
Forecast Accuracy Pipeline & Forecasting
The degree to which predicted revenue matches actual closed revenue, measured as variance between the two over a given period.
G
Go-To-Market (GTM) Analytics Revenue Operations
The measurement and modeling of every activity across sales, marketing, and customer success that contributes to acquiring, retaining, and expanding customers.
Gross Revenue Retention (GRR) Metrics & KPIs
The percentage of recurring revenue retained from existing customers after accounting for contractions and churn, but excluding expansions — it shows the floor.
I
Incrementality Testing Attribution & Measurement
An experimental method that measures the causal impact of a marketing activity by comparing outcomes between exposed and unexposed groups.
Intent Data Metrics & KPIs
Behavioral signals indicating a prospect or account is actively researching a problem your product solves, sourced from third-party content consumption, website activity, and search behavior.
L
Last-Touch Attribution Attribution & Measurement
Assigns 100% of conversion credit to the final marketing interaction before conversion — the most common model, but one that systematically misallocates budget.
Lead Scoring Metrics & KPIs
Assigns numerical values to prospects based on firmographic data, behavioral signals, and engagement patterns to prioritize sales follow-up.
LTV:CAC Ratio Metrics & KPIs
Customer lifetime value divided by customer acquisition cost — the fundamental measure of whether revenue per customer justifies the cost of acquiring them.
M
Magic Number (SaaS) Metrics & KPIs
Measures sales and marketing efficiency by dividing the change in quarterly recurring revenue by the prior quarter's sales and marketing spend.
Marketing Mix Modeling (MMM) Attribution & Measurement
A statistical method that uses regression analysis on historical data to quantify each marketing channel's impact on business outcomes.
Marketing Qualified Lead (MQL) Metrics & KPIs
A prospect who has engaged with marketing at a level indicating buying interest, based on criteria like content downloads, event attendance, or scoring thresholds.
Marketing ROI Attribution & Measurement
Revenue attributed to marketing minus marketing cost, divided by marketing cost — the fundamental measure of marketing's contribution to revenue.
Multi-Threading Engagement & Signals
Building relationships with multiple stakeholders within a prospect organization rather than relying on a single contact — it boosts win rates 130% for deals over $50K.
Multi-Touch Attribution (MTA) Attribution & Measurement
Assigns credit to multiple marketing touchpoints along the buyer journey based on each touchpoint's contribution to pipeline and revenue.
P
Pipeline Coverage Ratio Pipeline & Forecasting
Total open pipeline divided by sales quota for a given period, answering the question: do we have enough pipeline to hit our number?
Pipeline Quality Pipeline & Forecasting
A composite assessment of how likely current pipeline is to convert, based on engagement levels, stage velocity, stakeholder involvement, and data completeness.
Pipeline Velocity / Deal Velocity Pipeline & Forecasting
The speed at which opportunities move through the sales pipeline, calculated as (Number of Opportunities x Average Deal Value x Win Rate) / Sales Cycle Length.
Pipeline-to-Revenue Conversion Metrics & KPIs
The percentage of total pipeline value that converts into closed-won revenue in a period — the single number that accounts for slippage, regression, and loss.
Prescriptive Analytics (for Sales) Engagement & Signals
Uses modeling to recommend specific actions rather than simply reporting what happened or predicting what might happen.
Product-Qualified Lead (PQL) Metrics & KPIs
A prospect who has experienced meaningful value in a free trial or freemium product, signaling buying readiness through usage patterns rather than marketing engagement.
R
Revenue Intelligence Revenue Operations
Uses activity capture, engagement data, and pipeline signals to provide real-time visibility into deal health and revenue outcomes.
Revenue Leak Revenue Operations
The systematic loss of revenue caused by process gaps, data inconsistencies, and undetected deal deterioration across the revenue cycle.
Revenue Operations (RevOps) Revenue Operations
The strategic alignment of sales, marketing, and customer success under a unified data model, process framework, and technology stack to create one version of the truth for every revenue decision.
Revenue Operations KPIs Revenue Operations
The measurements that indicate whether a RevOps function is improving forecast accuracy, pipeline efficiency, and cross-functional alignment.
Revenue Predictability Metrics & KPIs
The degree to which a company can consistently forecast and deliver on its revenue commitments across quarters — the meta-metric that sits above all others.
Revenue Variance (Forecast Variance) Metrics & KPIs
The difference between forecasted revenue and actual closed revenue — the single number a CFO uses to judge whether the revenue team's predictions are reliable.
RevOps Best Practices Revenue Operations
The frameworks, processes, and KPI structures that drive measurable revenue impact from a unified go-to-market organization.
ROI Tracking Attribution & Measurement
The ongoing process of measuring marketing return on investment across activities, campaigns, and channels to connect spend to pipeline outcomes.
Rule of 40 Metrics & KPIs
A SaaS health benchmark stating that revenue growth rate plus profit margin should equal or exceed 40% — the most common efficiency screen for investors.
S
Sales Cycle Length Pipeline & Forecasting
The average number of days from opportunity creation to closed-won, segmented by deal size and market segment.
Sales Forecasting Pipeline & Forecasting
The process of estimating future revenue by analyzing pipeline data, conversion rates, deal signals, and market conditions.
Sales Qualified Lead (SQL) Metrics & KPIs
A prospect vetted by sales and confirmed for active pursuit based on budget, authority, need, and timeline.
Stage Conversion Rate Pipeline & Forecasting
The percentage of opportunities that advance from one pipeline stage to the next, revealing where deals stall, leak, or die.
W
Weighted Pipeline Pipeline & Forecasting
Total open pipeline adjusted by close probability at each stage, turning aspirational pipeline into an operational revenue estimate.
Win Rate Pipeline & Forecasting
Closed-won opportunities divided by total opportunities in a given period — the fundamental measure of sales effectiveness.
Frequently Asked Questions
What is revenue operations?
Revenue operations (RevOps) is the strategic alignment of sales, marketing, and customer success operations across the full customer lifecycle to drive revenue growth through shared processes, data, and technology.
What are the most important sales analytics metrics?
The most important sales analytics metrics include pipeline velocity, win rate, sales cycle length, quota attainment, forecast accuracy, pipeline coverage ratio, and stage conversion rates.
How do you measure marketing ROI in B2B?
B2B marketing ROI is measured using multi-touch attribution, marketing mix modeling, and incrementality testing to connect marketing spend to pipeline and revenue outcomes across long sales cycles.
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