B2B Marketing Measurement Glossary

B2B Marketing Measurement Glossary 22 Essential Terms Defined

A B2B Marketing Measurement Glossary is a reference catalog of 22 terms defining how B2B marketers measure pipeline, attribution, unit economics, and ROI for board-ready reporting. Every definition below is scoped to B2B revenue measurement, not generic digital marketing or consumer app analytics, because the assumptions differ at almost every layer of the stack. This is not a channel glossary. It is the operating vocabulary for a pipeline measurement system.

Marketing leaders inherit a vocabulary problem. Finance asks about CAC payback. The board wants pipeline contribution. Sales argues about attribution. Each function uses overlapping terms with different definitions, and the cost of that ambiguity is real money. Gartner's 2024 CMO Spend Survey found that 64% of CMOs report measurement and attribution as the top capability gap blocking budget defense, ahead of even AI and martech consolidation. If you cannot explain a number to finance, it is not a KPI. It is a story.

Most measurement competitors define terms in isolation, one URL per metric, no map. The Starr Conspiracy built this glossary as a connected stack: strategic frameworks (OKRs, the 70/20/10 rule) tied to operational metrics (MQL, SQL, pipeline velocity) tied to unit economics (CAC, LTV, ROAS) tied to attribution. Standardize this vocabulary across marketing, sales, and finance and three things change: budget defense gets faster, pipeline targets get mathematically honest, and board conversations stop relitigating definitions.

The 22 terms are grouped into five mutually exclusive categories so you can navigate by the question you are trying to answer.

The measurement stack at a glance:

• Foundational Concepts (what success means): KPI, OKR, North Star Metric, GTM KPI
• Pipeline Metrics (whether the funnel is healthy): MQL, SQL, Pipeline Generated, Pipeline Velocity, Pipeline Coverage Ratio, Conversion Rate, Win Rate, Opportunity, Lead Scoring
• Unit Economics (whether growth is profitable): CAC, LTV, LTV to CAC Ratio, CAC Payback Period, Net Revenue Retention
• Attribution (who gets credit): Marketing Attribution Model, Multi-Touch Attribution, First-Touch Attribution, Last-Touch Attribution, Marketing-Sourced Revenue, Marketing-Influenced Revenue, ROAS, Marketing ROI
• Budget and Planning Frameworks (where the money goes next): 70/20/10 Budget Rule, Marketing Mix Modeling

Foundational Concepts

These four terms define what success looks like before anyone argues about how to measure it. Get these wrong and every downstream metric inherits the confusion.

KPI

Short definition. A KPI is a quantifiable metric tied to a strategic outcome that a marketing team commits to moving over a defined period in B2B marketing.

Why it matters. KPIs are what the board grades you on. In B2B marketing, KPIs map to pipeline generated, marketing-sourced revenue, and CAC efficiency, not impressions or followers. Gartner's 2024 CMO Spend Survey found that 64% of CMOs cite measurement and attribution as their top capability gap, which is largely a KPI selection problem. The Starr Conspiracy recommends no more than five KPIs per quarter so each one stays defensible to finance.

How it works. A KPI requires a definition, a target, a measurement window, an owner, and a review cadence. If any of those five are missing, it is a metric, not a KPI. KPIs roll up to one or more Key Results inside an OKR.

Disambiguation. A KPI is the number. An OKR is the goal-setting framework that contains the number.

Examples.

• Pipeline Generated of $12M per quarter from marketing-sourced opportunities
• MQL-to-SQL conversion of 18% on a trailing 90-day basis
• CAC Payback Period below 15 months for net new logos

Related terms. OKR, North Star Metric, GTM KPI, Pipeline Generated, Marketing-Sourced Revenue, Marketing ROI

FAQs.

• How many KPIs should a CMO own? Three to five per quarter. More than that and none of them get defended properly.
• Are leading and lagging indicators both KPIs? Yes. Pipeline Generated is leading. Marketing-Sourced Revenue is lagging. You need both.
• Who reviews KPIs? Marketing leadership weekly, the CFO monthly, the board quarterly.

Bottom line. If finance cannot replicate the number from raw data, it is not a KPI yet.

OKR

Short definition. An OKR is a goal-setting framework that pairs one qualitative objective with three to five quantitative key results that measure progress against it in B2B marketing.

Why it matters. OKRs sit above KPIs and prevent teams from optimizing metrics that do not ladder to strategy. According to Harvard Business School Online's 2023 management curriculum, organizations using structured goal frameworks like OKRs report faster cross-functional alignment than those using activity-based planning.

How it works. Objective: directional and qualitative ("Become the category reference for AEO"). Key Results: measurable outcomes that prove the objective is moving (organic citations in LLM answers, branded search volume, inbound from category-defining queries). OKRs reset quarterly. KPIs run continuously underneath them.

Disambiguation. OKRs set direction. KPIs track operations. Confusing the two creates dashboards full of activity metrics no one connects to outcomes.

Examples.

• Objective: Defend Q4 budget without a finance escalation. KR1: Marketing-Sourced Revenue of $8M. KR2: CAC Payback under 14 months. KR3: Pipeline Coverage of 4x.
• Objective: Replace third-party cookie reliance. KR1: 60% of attribution from first-party data. KR2: MMM model deployed by Q3.

Related terms. KPI, North Star Metric, GTM KPI, Marketing ROI, Pipeline Generated

FAQs.

• How often do you reset OKRs? Quarterly. Annual OKRs invite drift.
• Can a Key Result be qualitative? No. If you cannot count it, it is an Objective, not a Key Result.
• Should OKRs cascade? Loosely. Tight cascades produce theater.

Bottom line. OKRs are the strategy. KPIs are the scoreboard. Do not run one without the other.

North Star Metric

Short definition. A North Star Metric is the single measurement that best captures the value a company delivers to clients and predicts long-term revenue growth in B2B marketing.

Why it matters. Amplitude's 2024 Product Report documented that companies with a defined North Star Metric grew revenue faster than peers without one. In B2B, the metric forces alignment between marketing acquisition and client success retention.

How it works. A valid North Star satisfies three tests: it predicts revenue, it reflects client value, and a single team cannot move it alone. In B2B SaaS, candidates include weekly active accounts, qualified pipeline created, or ARR per logo. Adapt it to account-level, not user-level, behavior.

Examples.

• Weekly active accounts above three seats for a collaboration platform
• Quarterly qualified pipeline created for a sales tech partner
• Net Revenue Retention above 115% for a usage-based infrastructure company

Related terms. KPI, OKR, Pipeline Generated, Net Revenue Retention, Marketing-Sourced Revenue

FAQs.

• Can you have more than one? No. The point is forcing a single answer.
• Is ARR a North Star? Usually too lagging. Pick the leading indicator that predicts ARR.

Bottom line. One metric. One company. If everyone names a different number, you do not have a North Star yet.

GTM KPI

Short definition. A GTM KPI is a measurement shared across marketing, sales, and client success that tracks the health of the full revenue motion, not a single function, in B2B marketing.

Why it matters. Departmental KPIs incentivize handoff failures. GTM KPIs incentivize revenue. Cognism's 2024 RevOps Benchmark Report found that B2B SaaS teams with shared revenue KPIs reported shorter sales cycles than teams with siloed function KPIs.

How it works. Define one metric each function influences but none owns alone. Common GTM KPIs include Net Revenue Retention, sales cycle length, Pipeline Coverage Ratio, and CAC Payback Period. The Starr Conspiracy uses GTM KPIs to align cross-functional teams against revenue outcomes rather than departmental activity.

Examples.

• Pipeline Coverage Ratio of 4x shared between marketing and sales
• CAC Payback Period of 14 months shared between marketing and client success
• Net Revenue Retention of 115% shared across the full GTM motion

Related terms. Pipeline Coverage Ratio, CAC Payback Period, Net Revenue Retention, Win Rate, Marketing-Sourced Revenue

FAQs.

• Who owns a GTM KPI? The CRO or CEO. If marketing owns it alone, it is not a GTM KPI.
• How many should a company track? Three to five.

Bottom line. GTM KPIs end the "marketing handed me garbage leads" argument by making both sides accountable to the same number.

Pipeline Metrics

These nine terms tell you whether the funnel is healthy week to week. They are also where most cross-functional definitional fights happen.

MQL

Short definition. An MQL is a lead that has met a defined threshold of fit and behavioral signals indicating readiness for a sales conversation but has not yet been accepted by sales in B2B marketing.

Why it matters. The MQL is where marketing and sales agree, or fail to. Cognism's 2024 B2B Benchmark Report put the average B2B SaaS MQL-to-SQL conversion rate at 13%. If yours is under 8%, the MQL definition is broken.

How it works. The MQL threshold combines firmographic fit (company size, industry, role) with behavioral scoring (content downloads, demo views, pricing page visits). Marketing and sales set the threshold jointly and review it quarterly.

Formula. MQL Conversion Rate = (MQLs accepted by sales / Total MQLs) × 100

Worked example. Marketing generates 1,000 MQLs in Q1. Sales accepts 130 as SQLs. MQL-to-SQL conversion is 13%.

Disambiguation. An MQL is marketing's assertion of readiness. An SQL is sales' acceptance of it. They are not the same thing.

Examples.

• Director-or-above title at a 500+ employee SaaS company who attended a product demo
• VP of HR at a target account who downloaded the buyer's guide and visited the pricing page

Related terms. SQL, Lead Scoring, Opportunity, Conversion Rate, Pipeline Generated, Marketing-Sourced Revenue

FAQs.

• Should marketing be compensated on MQLs? No. Compensate on pipeline or revenue.
• How often do you refit the model? Quarterly minimum.
• Are demo requests automatic MQLs? Yes, when they meet firmographic fit.

Bottom line. If sales does not accept your MQLs, you do not have MQLs. You have leads.

SQL

Short definition. An SQL is an MQL that has been accepted by sales after a discovery conversation confirms fit, budget authority, need, and timeline in B2B marketing.

Why it matters. SQL is the first true pipeline stage because it requires bilateral agreement. SQL-to-Opportunity conversion is the cleanest indicator of MQL quality.

How it works. Sales runs discovery within an agreed SLA (typically 48 hours), confirms BANT or an equivalent qualification framework, and either accepts the lead as an SQL or rejects with a reason code that feeds back into Lead Scoring.

Formula. SQL-to-Opportunity Rate = (Opportunities created / SQLs) × 100

Worked example. Sales accepts 130 SQLs in Q1 and creates 70 opportunities. SQL-to-Opportunity rate is 54%.

Examples.

• An MQL with confirmed budget approval and a Q3 implementation window
• A demo attendee whose CFO joined the second call

Related terms. MQL, Opportunity, Lead Scoring, Conversion Rate, Win Rate, Pipeline Generated

FAQs.

• Who creates the SQL? Sales, after discovery.
• What is a healthy SQL-to-Opportunity rate? 40% to 60% in B2B SaaS.

Bottom line. SQL is the only funnel stage where marketing and sales must agree in writing.

Opportunity

Short definition. An Opportunity is a qualified sales engagement with a defined deal size, decision timeline, and identified buying committee in B2B marketing.

Why it matters. Opportunities are the unit of pipeline. Everything downstream (Pipeline Generated, Win Rate, Pipeline Velocity) is calculated from Opportunity records.

How it works. An Opportunity has a stage, an amount, a close date, an owner, and a probability. Pipeline Generated sums Opportunity Amount at creation. Win Rate divides closed-won by total resolved Opportunities.

Examples.

• A $120K ARR Opportunity at a Series C fintech, close date Q4, decision committee of seven
• A $45K ARR renewal expansion at an existing enterprise account

Related terms. SQL, Pipeline Generated, Pipeline Velocity, Win Rate, Marketing-Sourced Revenue, Marketing-Influenced Revenue

FAQs.

• When does an SQL become an Opportunity? When deal size and close date are committed in the CRM.
• Are renewals Opportunities? Yes, if you track expansion separately.

Bottom line. Opportunities are pipeline. Leads are not.

Lead Scoring

Short definition. Lead Scoring is a methodology that assigns a numeric value to leads based on firmographic fit and behavioral engagement to prioritize sales follow-up in B2B marketing.

Why it matters. Lead Scoring is how MQL thresholds get enforced consistently. Without it, MQL becomes whatever the BDR feels like that morning.

How it works. Two dimensions: fit (industry, company size, role, geography) and behavior (content engagement, site visits, intent signals). Each dimension scores 0 to 100. Combined score crosses an MQL threshold set by marketing and sales jointly.

Formula. Lead Score = (Fit Score × Fit Weight) + (Behavior Score × Behavior Weight), typically 50/50.

Examples.

• A VP of HR at a 2,000-employee company who viewed pricing twice scores 85
• A junior analyst at a 50-employee non-target industry scores 22

Related terms. MQL, SQL, Conversion Rate, Pipeline Generated, Marketing Attribution Model

FAQs.

• How often should you recalibrate? Quarterly, based on closed-won data.
• Can AI replace rule-based scoring? Predictive scoring outperforms rules when you have enough closed-won data, typically 200+ deals.

Bottom line. A Lead Scoring model older than two quarters is lying to you.

Pipeline Generated

Short definition. Pipeline Generated is the total dollar value of qualified Opportunities created in a given period, attributed to a source channel or campaign in B2B marketing.

Why it matters. Pipeline Generated is the primary leading indicator of future revenue and the metric most CMOs report to their boards. Dreamdata's 2024 B2B Benchmark Report found median marketing-sourced pipeline accounts for 33% of total pipeline in B2B SaaS.

How it works. Sum Opportunity Amount at the moment of Opportunity creation, segmented by source attribution.

Formula. Pipeline Generated = Σ Opportunity Amount (created in period, by source)

Worked example. Marketing sources 50 Opportunities in Q1 with an average deal size of $80K. Pipeline Generated equals $4M.

Examples.

• $4M marketing-sourced pipeline from organic search in Q1
• $1.2M sourced from a partner-led webinar series

Related terms. Opportunity, Pipeline Velocity, Pipeline Coverage Ratio, Marketing-Sourced Revenue, Marketing-Influenced Revenue, Marketing ROI

FAQs.

• Is pipeline counted at creation or at qualification? At creation, by Opportunity stage 1.
• Do you include pipeline that later disqualifies? Yes. Track separately as pipeline quality.

Bottom line. Pipeline Generated is the leading indicator. Marketing-Sourced Revenue is the proof.

Pipeline Velocity

Short definition. Pipeline Velocity is the rate at which Opportunities move through the sales pipeline, expressed as revenue per day in B2B marketing.

Why it matters. Velocity is a composite health metric that surfaces whether marketing is generating better-fit leads, not just more leads. According to Dreamdata's 2024 B2B Benchmark Report, the median B2B SaaS sales cycle runs 84 days, so small velocity gains compound.

Formula. Pipeline Velocity = (Number of Opportunities × Average Deal Size × Win Rate) / Sales Cycle Length in days

Worked example. 100 Opportunities × $50K average deal × 22% win rate / 90 days = $12,222 in revenue generated per day.

Examples.

• Velocity rises 30% after marketing tightens MQL fit criteria
• Velocity drops when a new persona expands the buying committee from 4 to 9

Related terms. Pipeline Generated, Win Rate, Opportunity, CAC Payback Period, Marketing-Sourced Revenue

FAQs.

• Is velocity a leading or lagging metric? Lagging, but the inputs are leading.
• What hurts velocity most? Larger buying committees and unclear ICP fit.

Bottom line. Velocity exposes whether marketing is generating fit or just volume.

Pipeline Coverage Ratio

Short definition. Pipeline Coverage Ratio is the dollar value of open pipeline divided by the revenue target for the same period, used to assess whether the funnel holds enough Opportunity to hit quota in B2B marketing.

Why it matters. Coverage is the math behind every "do we need more pipeline?" board question. Set coverage targets as internal operating ranges based on your Win Rate, not industry rumor.

Formula. Pipeline Coverage Ratio = Open Pipeline / Revenue Target

Worked example. Open pipeline is $20M against a $5M quarterly revenue target. Coverage is 4x. At a 25% Win Rate, that math works.

Examples.

• 4x coverage at a 25% Win Rate
• 5x coverage required when Win Rate drops to 20%

Related terms. Pipeline Generated, Win Rate, Pipeline Velocity, Opportunity, GTM KPI

FAQs.

• What is the right coverage target? 1 / Win Rate, then add a buffer.
• Who owns coverage? The CRO. Marketing feeds it.

Bottom line. Coverage is a math problem, not a vibe.

Conversion Rate

Short definition. Conversion Rate is the percentage of contacts that move from one defined stage to the next within a measurement period in B2B marketing.

Why it matters. Stage-specific conversion rates expose where friction lives. A single funnel-wide number obscures everything.

Formula. Conversion Rate = (Contacts advancing to next stage / Contacts in starting stage) × 100

Worked example. 500 visitors convert to 50 leads. Visitor-to-lead conversion is 10%.

Examples.

• Visitor-to-lead at 2.5% on a category landing page
• MQL-to-SQL at 13% per Cognism's 2024 benchmark
• SQL-to-Opportunity at 50%

Related terms. MQL, SQL, Opportunity, Win Rate, Lead Scoring, Pipeline Velocity

FAQs.

• Should you ever report a funnel-wide conversion rate? No.
• Over what window? Trailing 90 days for stability.

Bottom line. Report conversion by stage or do not report it at all.

Win Rate

Short definition. Win Rate is the percentage of qualified Opportunities that close as won within a defined period in B2B marketing.

Why it matters. Win Rate is the critical input to Pipeline Coverage Ratio and CAC. Cognism's 2024 B2B Benchmark Report cites median Win Rates of 17% to 22% on inbound Opportunities.

Formula. Win Rate = Closed-Won Opportunities / (Closed-Won + Closed-Lost Opportunities)

Worked example. 22 won, 78 lost. Win Rate is 22%.

Examples.

• 22% Win Rate on inbound enterprise Opportunities
• 11% Win Rate on outbound cold pipeline

Related terms. Opportunity, Pipeline Velocity, Pipeline Coverage Ratio, CAC, Marketing-Sourced Revenue

FAQs.

• Should you segment Win Rate? Yes. By source, segment, and ICP fit.
• Do open Opportunities count? No. Only resolved.

Bottom line. Win Rate by source is the cleanest signal of lead quality.

Unit Economics

These five terms tell you whether growth is profitable. This is where the CFO lives.

CAC

Short definition. CAC is the total sales and marketing spend required to acquire one new client in B2B marketing.

Why it matters. CAC is the foundation of every unit economics conversation. Finance interrogates it first. According to Harvard Business School Online's 2023 finance curriculum, CAC trending up faster than ACV is the single most common early warning sign of go-to-market dysfunction.

Formula. CAC = (Sales Spend + Marketing Spend) / New Clients Acquired

Worked example. A B2B SaaS company spends $400,000 on marketing and $600,000 on sales in Q1, acquiring 50 new clients. Blended CAC equals $1,000,000 / 50 = $20,000 per client.

Disambiguation. Blended CAC includes organic acquisition. Paid CAC isolates spend on acquisition channels only. Report both.

Examples.

• $20K blended CAC at a $60K ACV
• $35K paid CAC for outbound-led enterprise motion

Related terms. LTV, CAC Payback Period, LTV to CAC Ratio, ROAS, Marketing ROI, Net Revenue Retention

FAQs.

• Do you include benefits and overhead? Yes, fully loaded.
• Quarterly or annual? Both. Trend matters more than the point estimate.
• Does CAC include client success? No. CAC is acquisition only.

Bottom line. A CAC number without a Payback Period and an LTV ratio is a vanity number.

LTV

Short definition. LTV is the total gross profit a client generates across the full duration of the relationship in B2B marketing.

Why it matters. LTV is the denominator of acquisition decisions. Without it, CAC is meaningless.

Formula. LTV = Average ACV × Gross Margin × Average Client Lifespan (years)

Worked example. $60K ACV × 75% gross margin × 5 year lifespan = $225,000 LTV.

Examples.

• $225K LTV at a 5-year lifespan, $60K ACV, 75% margin
• $90K LTV at a 3-year lifespan, $40K ACV, 75% margin

Related terms. CAC, LTV to CAC Ratio, Net Revenue Retention, CAC Payback Period, Marketing ROI

FAQs.

• Gross or net margin? Gross.
• Should you include expansion revenue? Yes, via Net Revenue Retention.

Bottom line. LTV without gross margin is just lifetime revenue. Different thing.

LTV to CAC Ratio

Short definition. LTV to CAC Ratio is lifetime value divided by client acquisition cost, expressing how many dollars of gross profit each acquisition dollar returns in B2B marketing.

Why it matters. This is the cleanest single read on whether your growth engine works.

Formula. LTV to CAC Ratio = LTV / CAC

Worked example. $225K LTV / $20K CAC = 11.25x. Strong, but likely signals underinvestment in growth.

Operating ranges. Below 1:1, the business loses money on every client. At 3:1, the business is healthy. Above 5:1, the company is likely underinvesting in growth. Treat these as internal operating targets, not industry proofs.

Examples.

• 3x ratio at $20K CAC, $60K LTV
• 7x ratio signaling room to scale paid acquisition

Related terms. CAC, LTV, CAC Payback Period, Marketing ROI, Net Revenue Retention

FAQs.

• Why not just maximize the ratio? Because high ratios usually mean you are leaving growth on the table.
• How often do you report it? Quarterly to the board.

Bottom line. 3:1 is a target. 11:1 is a confession.

CAC Payback Period

Short definition. CAC Payback Period is the number of months required for the gross profit from a new client to repay the acquisition cost in B2B marketing.

Why it matters. Payback determines how fast you can reinvest. It also determines whether you can raise capital on favorable terms.

Formula. CAC Payback Period = CAC / (Monthly Recurring Revenue × Gross Margin)

Worked example. $20,000 CAC / ($5,000 MRR × 0.75 gross margin) = 5.3 months.

Operating ranges. Under 18 months is healthy. Under 12 months is best in class. Frame as internal targets, not industry rules.

Examples.

• 14-month Payback on inbound enterprise
• 22-month Payback on outbound mid-market, flagged for review

Related terms. CAC, LTV, LTV to CAC Ratio, Net Revenue Retention, GTM KPI

FAQs.

• Why monthly? It matches cash flow planning.
• Include expansion? Track separately as Payback with NRR.

Bottom line. Payback is the metric the CFO will sanity-check first.

Net Revenue Retention

Short definition. Net Revenue Retention is the percentage of recurring revenue retained from existing clients over a 12-month period, including expansion and net of churn and contraction, in B2B marketing.

Why it matters. NRR above 100% means the client base grows without new acquisition. It is the single strongest predictor of valuation multiples in B2B SaaS.

Formula. NRR = ((Starting ARR + Expansion − Churn − Contraction) / Starting ARR) × 100

Worked example. $10M starting ARR + $2M expansion − $500K churn − $300K contraction = $11.2M. NRR = 112%.

Examples.

• 115% NRR at a usage-based infrastructure company
• 95% NRR signaling product or onboarding issues

Related terms. LTV, CAC, CAC Payback Period, GTM KPI, Marketing-Influenced Revenue

FAQs.

• Is NRR a marketing metric? It is a GTM metric. Marketing influences it via expansion plays.
• Gross or net? NRR is net. GRR is gross.

Bottom line. Below 100% NRR, no acquisition strategy fixes the business.

Attribution

These six terms resolve the credit assignment problem. Attribution is accounting rules for credit. Pick the rules first, then run the numbers.

Marketing Attribution Model

Short definition. A Marketing Attribution Model is a rule or algorithm that assigns credit for a conversion across the multiple touchpoints a buyer experienced before purchasing in B2B marketing.

Why it matters. Attribution models are required because B2B buying is committee-based and long. Cognism, 2024, reports that median enterprise deals involve more than 200 touchpoints across 6 to 10 buying group members over 6 to 18 months. Pick a model before the board meeting, not during it.

How it works. Common model types include first-touch, last-touch, linear, time-decay, U-shaped, W-shaped, and data-driven algorithmic. Each model rewards different behavior. First-touch rewards demand creation. Last-touch rewards demand capture. Multi-touch tries to balance both.

Examples.

• W-shaped attribution for content-led demand generation
• Data-driven attribution running on first-party data after cookie deprecation

Related terms. Multi-Touch Attribution, First-Touch Attribution, Last-Touch Attribution, Marketing Mix Modeling, Marketing-Sourced Revenue, Marketing-Influenced Revenue

FAQs.

• Which model is right? The one you can defend consistently for four quarters.
• Can you change models mid-year? Yes, but report both for one quarter.

Bottom line. Attribution is policy. Pick one and enforce it.

Multi-Touch Attribution

Short definition. Multi-Touch Attribution is any attribution methodology that distributes conversion credit across more than one touchpoint in the buyer journey in B2B marketing.

Why it matters. Multi-touch models better reflect committee-based buying than single-touch models. Dreamdata and Cometly both build their B2B attribution platforms primarily on multi-touch methodology.

How it works. Variants include U-shaped (40/20/40 first/middle/last), W-shaped (30/30/30/10 across four key stages), time-decay (weighted toward recent touches), and data-driven (algorithmic Shapley-value assignment).

Examples.

• W-shaped model assigning 30% to first touch, 30% to MQL conversion, 30% to Opportunity creation, 10% to other
• Time-decay model favoring touches within 60 days of close

Related terms. Marketing Attribution Model, First-Touch Attribution, Last-Touch Attribution, Marketing-Influenced Revenue, Marketing Mix Modeling

FAQs.

• Which variant is most defensible? Data-driven, when you have the data.
• Does multi-touch work without cookies? Only with first-party tracking.

Bottom line. Single-touch models flatter someone. Multi-touch models try to be fair.

First-Touch Attribution

Short definition. First-Touch Attribution is an attribution model that assigns 100% of conversion credit to the first touchpoint a buyer engaged with in B2B marketing.

Why it matters. First-touch rewards demand creation: content, brand, category investment. Use it when you need to defend top-of-funnel spend.

Examples.

• First-touch credit to an organic blog post that introduced the buyer
• First-touch credit to a podcast guest appearance

Related terms. Marketing Attribution Model, Last-Touch Attribution, Multi-Touch Attribution, Marketing-Sourced Revenue, Marketing-Influenced Revenue

FAQs.

• Best use case? Defending brand and content investment.
• Limitation? Ignores everything that happens after introduction.

Bottom line. First-touch is the brand team's favorite model. That does not make it wrong.

Last-Touch Attribution

Short definition. Last-Touch Attribution is an attribution model that assigns 100% of conversion credit to the final touchpoint before purchase in B2B marketing.

Why it matters. Last-touch rewards demand capture: paid search, retargeting, sales enablement. It is the default in most ad platforms.

Examples.

• Last-touch credit to a branded paid search click
• Last-touch credit to a sales-sent pricing proposal

Related terms. Marketing Attribution Model, First-Touch Attribution, Multi-Touch Attribution, ROAS, Marketing-Sourced Revenue

FAQs.

• Best use case? Optimizing paid capture channels.
• Limitation? Punishes top-of-funnel investment.

Bottom line. Last-touch is the paid team's favorite model. Same caveat.

Marketing-Sourced Revenue

Short definition. Marketing-Sourced Revenue is closed-won revenue from Opportunities where marketing created the original contact or first-touch interaction in B2B marketing.

Why it matters. This is the foundation of marketing's revenue contribution narrative to the board. Report it alongside Marketing-Influenced Revenue for context.

Formula. Marketing-Sourced Revenue = Σ Closed-Won Revenue where source = marketing

Worked example. Of $20M closed in Q1, $7M came from Opportunities first touched by marketing. Marketing-Sourced Revenue is $7M, or 35% of total.

Examples.

• $7M Marketing-Sourced Revenue at 35% of total
• $12M Marketing-Sourced Revenue from organic and paid combined

Related terms. Marketing-Influenced Revenue, Pipeline Generated, Marketing Attribution Model, First-Touch Attribution, Marketing ROI, ROAS

FAQs.

• Sourced or influenced for the board? Both. Sourced is conservative. Influenced is the full story.
• Window? Match your sales cycle length.

Bottom line. Sourced is the number marketing owns. Influenced is the number marketing touches.

Marketing-Influenced Revenue

Short definition. Marketing-Influenced Revenue is closed-won revenue from Opportunities where marketing touched the buyer at any point in the journey, regardless of source, in B2B marketing.

Why it matters. Influenced revenue captures the reality that marketing accelerates and enables deals it does not source. Pair it with sourced revenue to show the full footprint.

Formula. Marketing-Influenced Revenue = Σ Closed-Won Revenue where any touchpoint = marketing

Worked example. Of $20M closed, $15M had at least one marketing touchpoint. Marketing-Influenced Revenue is $15M, or 75% of total.

Examples.

• 75% Marketing-Influenced Revenue with 35% sourced
• High influenced ratio at an account-based motion

Related terms. Marketing-Sourced Revenue, Multi-Touch Attribution, Marketing Attribution Model, Pipeline Generated, Marketing ROI

FAQs.

• Is influenced revenue double counting? No, if you do not also claim sourced credit on the same Opportunity twice.
• Window? Trailing 12 months.

Bottom line. Influenced revenue is real. Just do not pretend it is sourced.

ROAS

Short definition. ROAS is the revenue generated for every dollar of advertising spend in B2B marketing.

Why it matters. ROAS is most useful for paid channels with measurable direct response and least useful for top-funnel brand. Advertising.amazon.com defines ROAS identically across B2B and consumer contexts; B2B teams should pair it with Pipeline Generated to avoid optimizing toward lead volume over lead quality.

Formula. ROAS = Revenue Attributed to Ads / Ad Spend

Worked example. $500K paid search spend generates $2M attributed revenue. ROAS is 4x.

Disambiguation. ROAS measures revenue per ad dollar. Marketing ROI measures profit per marketing dollar. They are not interchangeable.

Examples.

• 4x ROAS on branded paid search
• 1.5x ROAS on retargeting flagged for optimization

Related terms. Marketing ROI, CAC, Last-Touch Attribution, Marketing-Sourced Revenue, Pipeline Generated

FAQs.

• What ROAS target? Internal, based on margin and Payback. Not an industry benchmark.
• Does ROAS include sales cost? No. CAC does.

Bottom line. ROAS without pipeline quality context optimizes for the wrong leads.

Marketing ROI

Short definition. Marketing ROI is the financial return generated by marketing investment, expressed as a percentage in B2B marketing.

Why it matters. Marketing ROI is the metric the board cares about most and the one most vulnerable to attribution assumptions. Harvard Business School Online defines marketing ROI generically; B2B leaders must specify the attribution model, the revenue definition (sourced vs. influenced), and the time window every time they report it.

Formula. Marketing ROI = ((Revenue Attributed to Marketing − Marketing Cost) / Marketing Cost) × 100

Worked example. $7M Marketing-Sourced Revenue, 75% gross margin = $5.25M gross profit. Marketing cost is $1.5M. Marketing ROI = (($5.25M − $1.5M) / $1.5M) × 100 = 250%.

Disambiguation. ROAS is revenue per ad dollar. Marketing ROI is profit per marketing dollar. CAC is acquisition cost per client. Three different questions.

Examples.

• 250% Marketing ROI using Marketing-Sourced Revenue
• 400% Marketing ROI using Marketing-Influenced Revenue (always footnote which)

Related terms. ROAS, Marketing-Sourced Revenue, Marketing-Influenced Revenue, CAC, LTV to CAC Ratio, Marketing Attribution Model

FAQs.

• Sourced or influenced revenue? Disclose which every time you report.
• Time window? Match your sales cycle.
• Include sales cost? No. That is CAC.

Bottom line. Marketing ROI without the attribution model and revenue definition is a number waiting to be argued.

Budget and Planning Frameworks

These two terms govern how next quarter's budget gets allocated against everything above.

70/20/10 Budget Rule

Short definition. The 70/20/10 Budget Rule is a marketing investment framework that allocates 70% of budget to proven channels, 20% to scaling emerging opportunities, and 10% to experimental bets in B2B marketing.

Why it matters. The rule keeps CMOs from over-rotating to last quarter's winner or chasing every shiny tactic. The Starr Conspiracy uses 70/20/10 as a default starting point for CMOs balancing pipeline pressure against the need to build future channels like AEO and partner-led growth.

Examples.

• 70% to paid search and content, 20% to ABM scaling, 10% to AEO experiments
• 70% to outbound, 20% to community, 10% to event experimentation

Related terms. GTM KPI, Marketing-Sourced Revenue, Marketing ROI, Marketing Mix Modeling, Pipeline Generated

FAQs.

• Is 70/20/10 a rule or a starting point? Starting point. Adjust by growth stage.
• Does the 10% need to perform? Eventually. Kill experiments that do not graduate in 2 quarters.

Bottom line. 70/20/10 is how you protect future pipeline while defending current revenue.

Marketing Mix Modeling

Short definition. Marketing Mix Modeling (MMM) is a statistical method that uses aggregated historical data to estimate the incremental contribution of each marketing channel to revenue, controlling for external factors, in B2B marketing.

Why it matters. MMM is regaining adoption as cookie deprecation degrades user-level multi-touch attribution. Forrester, 2024, reports that B2B enterprises increasingly run MMM alongside multi-touch attribution as a triangulation strategy.

How it works. MMM uses regression to isolate incremental channel contribution from baseline demand, seasonality, pricing, and competitive effects. It works at the channel level, not the user level, so it is privacy-resilient.

Examples.

• Quarterly MMM run to validate paid channel mix
• MMM-informed reallocation from paid social to content syndication

Related terms. Marketing Attribution Model, Multi-Touch Attribution, Marketing ROI, 70/20/10 Budget Rule, Marketing-Sourced Revenue

FAQs.

• How much data do you need? 2 to 3 years of weekly data, minimum.
• Does MMM replace MTA? No. They answer different quest