Glosario de Operating Intelligence.

60-Day Repeat Rate

The percentage of customers from a cohort who place a second order within 60 days of their first. The most-used checkpoint in the D2C 30/60/90 cohort series because it balances early-signal speed with meaningful repeat depth. For consumables, healthy 60-day repeat is 15–30%; for apparel, 10–18%. The right window for tactical mid-quarter cohort decisions.

Ad-to-Gross-Profit Ratio

The ratio of paid-advertising spend to gross profit dollars in the same period — calculated as ad spend / gross profit. For D2C, healthy ad-to-GP ratio is 0.25–0.50; above 0.70 indicates advertising is consuming most of the gross profit produced. The ratio is the cleanest top-line check on whether advertising is producing affordable customer growth or burning gross-profit dollars at unsustainable rates.

aMER (advertising MER)

A variant of <a href="/glossary/mer" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">MER (Marketing Efficiency Ratio)</a> that includes only paid-advertising spend in the denominator — excluding non-advertising marketing costs (content, PR, organic). For D2C, healthy aMER is 3.0–6.0; below 2.5 is concerning. aMER is the cleanest top-line measure of paid-advertising efficiency at the brand level, free of attribution-platform noise.

AOV (Average Order Value)

Total revenue divided by the number of orders in a given period. AOV measures how much a customer spends per transaction on average. It is one of three levers that drive revenue — alongside traffic and conversion rate — and directly affects <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC</a> payback, <a href="/glossary/roas" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ROAS</a> thresholds, and unit economics.

ARR (Annual Recurring Revenue)

ARR is the total value of recurring subscription revenue normalized to one year. The north-star metric for SaaS companies and the primary input for valuation multiples.

ARR Per Employee

Total annualized recurring revenue divided by the number of full-time employees, expressed as a dollar figure. A company with $12M <a href="/glossary/arr" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ARR</a> and 60 employees has $200K ARR per employee. It is the most widely used measure of workforce efficiency in SaaS and a key input to <a href="/glossary/burn-multiple" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">burn multiple</a> and capital efficiency analysis.

Basket Size

Basket size is the average value or quantity of a single completed order — used interchangeably with <a href="/glossary/aov" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">AOV</a> (when measured in dollars) or with <a href="/glossary/upt-units-per-transaction" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">UPT</a> (when measured in units). The term is genuinely ambiguous; always specify whether you mean basket dollars or basket units. The cleanest pattern is to report all three components: AOV, UPT, and Average Unit Retail.

Bessemer Efficiency Score

A SaaS efficiency framework popularised by Bessemer Venture Partners that combines net revenue retention, growth rate, and burn multiple into a single 0–100 score. Top-quartile public SaaS companies score above 60; the median is closer to 35–45. The score is most useful for cross-company peer benchmarking because the methodology is consistent across companies that report it.

Blended CAC

Total sales and marketing spend divided by the total number of new customers acquired across all channels in a given period. Blended CAC averages the cost of every acquisition source — paid, organic, referral, and direct — into one number. It is the headline metric for investor reporting but can be misleading for channel allocation decisions.

Blended ROAS

Total revenue divided by total advertising spend across all paid channels, without attributing revenue to any single channel. Blended ROAS removes attribution model bias by treating all ad spend as one investment and all revenue as one outcome. It answers whether the total paid media budget is producing an acceptable return.

Burn Multiple

Net cash burn divided by net new <a href="/glossary/arr" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ARR</a> added in the same period. A burn multiple of 1.5x means the company burned $1.50 for every $1 of new ARR generated. Lower is better. Burn multiple measures capital efficiency — how much cash it costs to generate each incremental dollar of recurring revenue.

CAC (Customer Acquisition Cost)

CAC is the total cost of acquiring a new customer — sales, marketing, and overhead — divided by new customers won in the same period.

CAC Payback Period

The number of months required to recover the cost of acquiring a customer through the <a href="/glossary/gross-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">gross margin</a> those customers generate. A 12-month payback means it takes one year of a customer's gross profit to recoup the <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC</a> invested to win them. Shorter payback means faster cash recovery and lower risk.

CARR (Committed ARR)

Committed Annual Recurring Revenue — the total annualised value of all signed customer contracts including those not yet active but committed via signed order forms. CARR is typically 3–8% larger than <a href="/glossary/arr" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ARR</a> for B2B SaaS because it includes ramp deals, future-start contracts, and signed expansions that haven't taken effect. CARR is the right metric for hiring math; ARR is the right metric for income statement reporting.

Cash Conversion Cycle

The number of days between when a company pays its suppliers and when it collects payment from its customers. CCC combines Days Inventory Outstanding, Days Sales Outstanding, and Days Payable Outstanding into a single metric that measures how efficiently a business converts its investments in inventory and operations into cash.

Channel Mix

The breakdown of revenue (or customers) across distribution and acquisition channels — DTC vs wholesale vs marketplace, or paid vs organic vs referral, depending on context. The unqualified term is ambiguous and used in two distinct ways: <a href="/glossary/customer-acquisition-mix" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">acquisition channel mix</a> (how new customers come in) and revenue channel mix (where revenue is recognised). Always specify which scope is in use.

Churn Rate

The percentage of customers (logo churn) or revenue (revenue churn) lost during a given period, relative to the starting base. Churn is the inverse of retention — it measures how fast a company is losing the customers or revenue it has already earned. For SaaS companies, churn is the single biggest determinant of long-term growth potential.

COGS (Cost of Goods Sold)

The direct costs of producing or delivering the goods a company sells, including raw materials, manufacturing, packaging, and shipping. COGS is subtracted from revenue to calculate <a href="/glossary/gross-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">gross margin</a>. It excludes indirect costs like marketing, sales salaries, and office rent, which belong in operating expenses.

COGS Tracking

<strong>COGS tracking</strong> is the operating discipline of measuring and attributing cost of goods sold at the granular level required for contribution margin analysis — typically by SKU, channel, and cohort. For DTC brands, COGS tracking spans product costs, fulfilment, payment processing, returns, and write-offs. Most DTC brands underreport COGS by 8–15% by missing fulfilment-side costs (3PL fees, packaging, returns processing). Accurate COGS tracking is the prerequisite for true margin intelligence.

Cohort Analysis

A method of grouping customers by a shared characteristic — typically their acquisition date — and tracking their behavior over time. Instead of measuring aggregate metrics across all customers, cohort analysis isolates each group to reveal retention trends, revenue patterns, and <a href="/glossary/customer-lifetime-value" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">lifetime value</a> trajectories that averages obscure.

Cohort LTV

The total revenue generated by a group of customers acquired in the same period, divided by the number of customers in that group. Unlike blended LTV, which averages all customers regardless of when they were acquired, cohort LTV shows whether newer customers are worth more or less than older ones over the same lifecycle window.

Contraction Revenue

The umbrella metric capturing all recurring revenue lost from existing customers in a defined period. Contraction combines two distinct mechanisms: <a href="/glossary/churn-rate" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">churn revenue</a> (full cancellations where the customer leaves entirely) and <a href="/glossary/downgrade-revenue" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">downgrade revenue</a> (partial reductions where customers stay active but reduce tier, seats, or usage). For B2B SaaS, healthy total contraction is below 8–12% of starting ARR annually.

Contribution Margin

Revenue minus all variable costs, expressed as a percentage or absolute dollar amount. Contribution margin measures the profitability of a specific product, channel, campaign, or customer segment after deducting every cost that scales with revenue — including <a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a>, ad spend, sales commissions, and variable fulfillment costs. It is the metric that tells operators where money is actually being made.

Contribution Margin 1 (CM1)

Revenue minus cost of goods sold (<a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a>), expressed as a dollar amount or percentage. CM1 measures the most basic layer of product profitability before any selling, fulfillment, or marketing costs are deducted. It tells operators whether the product itself generates enough margin to fund the rest of the business.

Contribution Margin 2 (CM2)

Revenue minus <a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a> minus variable fulfillment and selling costs — outbound shipping, payment processing, 3PL pick-pack, and returns reserve. CM2 sits between <a href="/glossary/contribution-margin-1" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CM1</a> and <a href="/glossary/contribution-margin-3" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CM3</a> and sets the ceiling on allowable CAC per order.

Contribution Margin 3 (CM3)

Revenue minus cost of goods sold, fulfillment costs, and marketing costs. CM3 is the fully-loaded unit margin that shows whether each customer, channel, or product generates profit after all variable costs of acquiring and serving them. It is the metric that determines whether growth is profitable or just expensive.

Cost to Retain

The spend specifically allocated to keeping existing customers — including customer-success retention headcount, retention marketing, loyalty programs, win-back campaigns, and renewal-process tooling. For B2B SaaS, healthy cost to retain is 8–15% of recurring revenue annually; for D2C, 4–10% of customer revenue. Cost to Retain is the third leg of full-lifetime customer cost, alongside <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC</a> and <a href="/glossary/cost-to-serve" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">cost to serve</a>.

Cost to Serve

The total operational cost of serving a single customer over a defined period — including support, hosting, fulfilment, payment processing, and CS allocations. For B2B SaaS, healthy annual cost to serve is 8–18% of customer ARR; for D2C, healthy cost per order is 6–14% of order value. Cost to Serve is the operational complement to CAC and a key input to <a href="/glossary/contribution-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">contribution margin</a> per customer.

Cross-Sell Revenue

The dollar value of recurring revenue added when an existing customer purchases a different product line, module, or add-on beyond their original purchase. Cross-sell expands the portfolio of products attached to a customer (selling Product B to a Product A customer); <a href="/glossary/upsell-revenue" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">upsell</a> expands within an existing product line. Cross-sell typically requires a separate sales touch and produces lower attach rates but higher per-customer ACV when it lands.

CRR (Customer Retention Rate)

The percentage of customers retained over a defined period — the inverse of customer churn, calculated as (ending customers from starting cohort) / (starting customer count) × 100. CRR is the customer-count complement to revenue retention. For B2B SaaS, healthy annual CRR is 92%+ for enterprise, 85–92% for mid-market, and 70–85% for SMB. It is closely related to <a href="/glossary/logo-retention" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">logo retention</a>.

Customer Acquisition Mix

The breakdown of new customers by acquisition source — paid media, organic search, referral, partner, content, etc. — typically reported as a percentage of new customers per source. Healthy customer acquisition mix is diversified: no single channel above 50% for sustainable D2C, and no single channel above 70% for growth-stage SaaS. Concentrated mixes create channel-dependency risk that is visible in the data months before it manifests as a growth crisis.

Customer Lifetime Value (LTV)

The total revenue (or profit) a business expects to earn from a single customer over the entire duration of the relationship. LTV accounts for repeat purchases, subscription renewals, expansions, and upsells. It is the counterweight to <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC</a> — together, they determine whether acquiring a customer creates or destroys value.

D2C Unit Economics

The full profit-per-order calculation for a direct-to-consumer business, measured through a layered margin stack: Average Order Value minus Cost of Goods Sold equals <a href="/glossary/contribution-margin-1" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Contribution Margin 1</a>, minus fulfillment and shipping equals CM2, minus customer acquisition cost equals <a href="/glossary/contribution-margin-3" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Contribution Margin 3</a>. Each layer reveals where margin is created or lost.

Dollar Churn

The absolute dollar value of recurring revenue lost in a defined period — distinct from <a href="/glossary/gross-churn" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">gross churn</a> (a percentage) and <a href="/glossary/logo-churn" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">logo churn</a> (a customer count). Most useful when comparing across periods of changing scale or assessing customer-success ROI; especially important above $20M ARR where percentage views obscure absolute dollars at stake.

Downgrade Revenue

The recurring revenue lost when an existing customer reduces their commitment without fully cancelling — moving from Pro to Starter, removing seats from a seat-based plan, or stepping down to lower usage tiers. Downgrades are one of two <a href="/glossary/contraction-revenue" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">contraction revenue</a> components, alongside cancellation churn. For B2B SaaS, downgrade revenue typically runs 1–3% of starting MRR annually; concentrated downgrades (5%+ annually) signal pricing or value-perception problems.

DTC (Direct-to-Consumer)

A business model where a brand sells products directly to end customers through its own channels (website, app, retail stores) without wholesalers, distributors, or third-party retailers. DTC brands own the customer relationship, the transaction data, and the margin that intermediaries would otherwise capture.

EBITDA

Earnings Before Interest, Taxes, Depreciation, and Amortization. EBITDA strips out non-operating costs to show how much cash the core business generates from operations. It is the standard profitability measure for comparing companies across different capital structures, tax situations, and accounting methods.

EBITDA Margin

The percentage of revenue that remains as earnings before interest, taxes, depreciation, and amortization. Calculated by dividing <a href="/glossary/ebitda" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">EBITDA</a> by total revenue and multiplying by 100. It measures how efficiently a company converts revenue into operating profit, independent of capital structure, tax strategy, and accounting methods.

Efficiency Score

A generic term for any composite SaaS efficiency metric — most commonly used to refer to one of several proprietary scoring frameworks (<a href="/glossary/bessemer-efficiency-score" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Bessemer Efficiency Score</a>, <a href="/glossary/rule-of-40" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Rule of 40</a>, magic number, etc.) that combine growth and profitability into a single number. The unqualified term is ambiguous: when reported, the specific scoring methodology must be specified.

First Order Profitability

The profit or loss generated on a customer's initial purchase, calculated by subtracting COGS, fulfillment costs, and customer acquisition cost from the first order's average order value. It measures whether a business makes money from day one or relies on repeat purchases to recover acquisition spending.

Fully-Loaded CAC

Customer Acquisition Cost calculated to include all expenses contributing to acquisition — paid media, sales and marketing salaries and commissions, GTM tooling, allocated overhead — divided by new customers acquired in the period. Distinct from <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">simple CAC</a> (paid media only). For B2B SaaS, fully-loaded CAC typically runs 2–4× simple CAC. Investors recalculate CAC on a fully-loaded basis during diligence regardless of how a company reports it.

GMV (Gross Merchandise Value)

The total dollar value of merchandise sold through a platform or channel over a given period, calculated before returns, discounts, cancellations, and fees are deducted. GMV measures top-line transaction volume. It is not revenue — it is the gross value of all completed sales before any adjustments.

Gross Churn

The percentage of recurring revenue lost from existing customers over a period — measured before any expansion is added back. Unlike <a href="/glossary/net-churn" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">net churn</a>, gross churn isolates the impact of cancellations, downgrades, and contraction. For B2B SaaS, healthy gross revenue churn is under 1% per month (12% annualised); top-quartile is under 0.5% monthly.

Gross Margin

Revenue minus cost of goods sold (<a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a>), expressed as a percentage of revenue. Gross margin measures how much of every dollar earned remains after the direct costs of delivering the product or service. It is the foundational profitability metric — the starting point before operating expenses, marketing costs, and overhead are considered.

Gross Profit

The dollar amount remaining after subtracting cost of goods sold (<a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a>) from total revenue. Gross profit represents the absolute dollars available to cover operating expenses, marketing, R&D, and general overhead. It is the dollar counterpart to <a href="/glossary/gross-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">gross margin</a>, which expresses the same relationship as a percentage.

Growth Efficiency

The umbrella category of SaaS metrics that measure how efficiently a company turns capital and effort into revenue growth — including <a href="/glossary/burn-multiple" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">burn multiple</a>, <a href="/glossary/magic-number" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">magic number</a>, <a href="/glossary/rule-of-40" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Rule of 40</a>, <a href="/glossary/cac-payback-period" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC payback</a>, and <a href="/glossary/ltv-cac-ratio" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">LTV:CAC</a>. No single metric captures growth efficiency completely; mature operators track 3–5 of these together.

Incremental ROAS

The revenue generated per additional dollar of ad spend, isolated from revenue that would have occurred without advertising. Measured through holdout tests, geo-lift studies, or matched market experiments, incremental ROAS separates true ad-driven revenue from organic baseline. It answers whether increasing spend actually produces more revenue — or just takes credit for it.

Inventory Turnover

A ratio that measures how many times a company sells and replaces its inventory during a given period. Calculated by dividing cost of goods sold by average inventory value. Higher turnover indicates efficient stock management and strong demand. Lower turnover may signal overstocking, weak sales, or obsolescence risk.

Landed COGS

Landed COGS (Landed Cost of Goods Sold) is the total cost to deliver a unit of inventory to its destination — including manufacturing cost, freight, duties, customs, and inbound logistics. Landed COGS is typically 1.15–1.40× the manufacturer-quoted unit cost depending on origin and freight terms. For accurate <a href="/glossary/gross-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">gross margin</a> calculation, landed COGS is the right input — using ex-factory unit cost overstates gross margin by 5–15 points.

Logo Churn

The percentage of customers (logos) lost in a defined period, regardless of their contract value. It is the customer-count counterpart to revenue churn — a team that loses 5% of logos but only 1% of revenue is losing small accounts. For B2B SaaS, healthy annual logo churn is under 8% for enterprise, 8–15% for mid-market, and 15–30% for SMB.

LTV (Lifetime Value)

The total revenue a business expects to earn from a single customer over the entire duration of the relationship. LTV combines average revenue per customer with retention rate to estimate long-term value. It is the counterpart to <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC</a> — together they determine whether a business model is sustainable.

LTV Payback

The number of months it takes for the cumulative gross profit from a customer to equal or exceed the cost of acquiring that customer. Unlike simple <a href="/glossary/cac-payback-period" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC payback</a>, LTV payback accounts for expansion revenue and upsells over the full customer lifetime, not just the initial contract value.

LTV:CAC Ratio

<a href="/glossary/customer-lifetime-value" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Customer lifetime value</a> divided by <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">customer acquisition cost</a>, expressing how many dollars of lifetime value each acquisition dollar produces. A 3:1 ratio means $3 of lifetime value for every $1 spent on acquisition. It is the single most important unit economics metric for subscription and recurring revenue businesses.

Magic Number

A SaaS efficiency metric that measures how much net new <a href="/glossary/arr" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ARR</a> is generated for every dollar spent on sales and marketing. Calculated by dividing the quarter-over-quarter increase in ARR by the prior quarter's S&M spend. A magic number above 0.75 signals efficient growth worth scaling. Below 0.5 signals the go-to-market engine needs optimization.

Margin Compression

The gradual decline of profit margins over time, measured as the percentage-point drop in gross margin, contribution margin, or EBITDA margin across consecutive periods. Margin compression signals that costs are growing faster than revenue — or that pricing power is eroding — and typically requires investigation at the channel, product, or customer segment level.

Margin Intelligence

Margin intelligence is the practice of calculating gross and contribution margin by channel, segment, SKU, and customer — automatically and continuously — instead of as a quarterly spreadsheet exercise. The point is to catch margin leaks within 7–14 days instead of the typical 60–90.

Marketing Mix Modeling (MMM)

A statistical method that uses regression analysis to measure how each marketing channel (paid search, social, email, TV, events) contributes to business outcomes like revenue and leads. MMM works with aggregate data over time, making it privacy-safe and independent of user-level tracking.

MER (Marketing Efficiency Ratio)

Total revenue divided by total marketing spend across all channels. MER is a channel-agnostic measure of overall marketing efficiency that avoids the attribution problems inherent in per-channel <a href="/glossary/roas" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ROAS</a>. Instead of asking "which channel drove this sale," MER asks "for every dollar we spent on marketing, how much total revenue did we generate?"

MRR (Monthly Recurring Revenue)

The predictable revenue a company earns each month from active subscriptions. MRR normalizes all recurring contracts — monthly, quarterly, and annual — into a single monthly figure. It is the operational heartbeat metric for SaaS companies, used to track growth trends, detect churn, and forecast cash flow.

nCAC (New Customer CAC)

The cost of acquiring genuinely new customers — distinct from blended CAC which dilutes the calculation by counting reactivated customers as 'new'. nCAC is the more honest unit-economics view because it isolates the cost of expanding the customer base. For D2C, nCAC typically runs 1.4–2.0× simple paid CAC. Investors increasingly require nCAC reporting alongside blended CAC during fundraising due-diligence.

NDR (Net Dollar Retention)

The percentage of recurring revenue retained from existing customers including expansion — mathematically identical to <a href="/glossary/nrr" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">NRR</a>. 'NDR' and 'NRR' are interchangeable; investor-side firms tend to favour NDR while operator-side companies favour NRR. For B2B SaaS at scale, healthy NDR is 105–120% annually; top-quartile public SaaS exceeds 130%.

Net Churn

The percentage of recurring revenue lost from existing customers after subtracting expansion revenue — the inverse of <a href="/glossary/nrr" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">net revenue retention</a>. Negative net churn (NRR > 100%) means expansion exceeds losses and the customer base grows without new logos. For B2B SaaS at scale, healthy net churn is below 0% (NRR > 100%); top-quartile is below −10%.

Net Revenue

The actual revenue a company collects after subtracting returns, refunds, discounts, chargebacks, and allowances from gross revenue. Net revenue reflects the cash a business retains from sales and is the correct starting point for calculating <a href="/glossary/gross-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">gross margin</a>, <a href="/glossary/contribution-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">contribution margin</a>, and unit economics.

Net Revenue Retention

The percentage of recurring revenue retained from existing customers over a period, including expansion (upgrades) and contraction (downgrades and churn). NRR above 100% means the existing customer base grows in revenue without acquiring a single new customer — the strongest indicator of sustainable product-market fit.

New Customer ROAS

The ratio of revenue generated by first-time customers to the advertising spend used to acquire them. Unlike <a href="/glossary/blended-roas" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">blended ROAS</a>, which includes returning customer revenue, new customer ROAS isolates acquisition performance. It reveals whether ad dollars are attracting new buyers or subsidizing repeat purchases.

Overhead Allocation

The process of distributing indirect business costs (rent, utilities, administrative salaries, software subscriptions) across departments, products, or revenue streams using a chosen allocation base such as revenue, headcount, or direct labor hours. It converts shared costs into unit-level profitability data operators can act on.

Paid CAC

Customer acquisition cost calculated using paid-media spend only — divided by new customers acquired in the same period. The simplest CAC variant and the one most reported in marketing dashboards. For D2C, paid CAC typically runs 40–70% of <a href="/glossary/fully-loaded-cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">fully-loaded CAC</a>. Reporting only paid CAC understates true acquisition cost; pair it with fully-loaded CAC for honest unit economics.

Payback on Customer

The time required to recover the cost of acquiring a customer through gross profit produced from that customer. Calculated as <a href="/glossary/cac" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC</a> divided by gross profit per customer per month. For B2B SaaS, healthy payback is 12–18 months; for D2C, healthy is 0–6 months. Mathematically identical to <a href="/glossary/cac-payback-period" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">CAC Payback Period</a>; the term varies by industry convention.

Profit Intelligence

The ability to identify which customers, channels, and products are most and least profitable at any point in time. Profit intelligence goes beyond top-line revenue to calculate true <a href="/glossary/contribution-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">contribution margin</a> after variable costs — showing operators where money is actually being made and where it's leaking.

Profit Leak

A profit leak is a recurring, often invisible cost that erodes margin without showing up clearly on the P&L — a money-losing channel, a misconfigured discount, an unprofitable customer segment, or an under-attributed cost line. Mid-market operators typically have 2–4 active leaks at any time, each running 60–90 days before detection.

Refund Rate

The percentage of orders (or revenue) refunded within a defined period — typically reported as % of orders refunded or % of revenue refunded. For D2C apparel, healthy refund rate is 20–35% (apparel sizing returns); for consumables, 2–6%; for B2B SaaS, 1–4% of new MRR. The metric is the per-order frequency view of returns, while <a href="/glossary/return-margin-impact" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">return margin impact</a> is the dollar-cost view.

Rep Productivity

The umbrella category of metrics measuring how much output an individual sales rep produces relative to capacity, time, or cost. It includes <a href="/glossary/revenue-per-rep" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">revenue per rep</a>, <a href="/glossary/quota-attainment" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">quota attainment</a>, deals per rep, pipeline generation per rep, and activity productivity. No single metric captures rep productivity; the framework requires triangulation across 3–5 measures to produce honest assessment.

Repeat Purchase Rate (D2C 30/60/90)

The percentage of customers from a starting cohort who place a second order within a defined window — most commonly measured at 30, 60, and 90 days for D2C brands. For consumables, healthy 90-day repeat rate is 25–40%; for durables 5–15%. Repeat purchase rate is the cleanest leading indicator of brand strength and unit-economics health because it forecasts <a href="/glossary/ltv" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">LTV</a> before LTV is realised.

Repurchase Rate

The percentage of customers who make at least one additional purchase after their first order within a defined period. Repurchase rate measures the ability of a business to convert first-time buyers into repeat customers — the single most important transition in <a href="/glossary/dtc" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">DTC</a> and e-commerce unit economics.

Return Margin Impact

The gross-profit reduction caused by customer returns — including refunded revenue, return-shipping cost, restocking labour, and unsellable returned inventory. For D2C apparel, return margin impact typically runs 8–18% of gross-profit dollars; for non-apparel D2C, 2–6%. The metric is often understated in standard reporting because returned-inventory unsellability and return-shipping costs are tracked in different systems.

Return Rate

The percentage of sold units or orders that customers send back within a defined period. Calculated by dividing the number of returns by total orders and multiplying by 100. Return rate directly reduces <a href="/glossary/net-revenue" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">net revenue</a> and erodes margin on every channel where it runs above industry norms.

Returning Customer ROAS

Return on ad spend computed against revenue from returning (repeat) customers only — distinct from blended ROAS which includes new-customer revenue. For D2C, returning-customer ROAS typically runs 3–8× while new-customer ROAS runs 1.0–2.0×. Reporting only blended ROAS conflates the two and obscures whether spend is acquiring genuinely new customers or just buying back existing ones.

Revenue Leakage

The difference between revenue a company should have collected and the revenue it actually collected. Leakage sources include billing errors, failed payment retries, untracked discounts, missed renewal opportunities, and uncaptured upsells. It is expressed as a dollar amount or as a percentage of expected revenue.

Revenue per Rep

The annualised revenue produced per fully-ramped sales rep — calculated as total revenue divided by the average number of fully-ramped reps in the period. For B2B SaaS, healthy revenue per rep ranges from $300K (SMB) to $1.5M+ (enterprise). The metric is one of the cleanest measures of sales-productivity efficiency at scale and is closely related to <a href="/glossary/arr-per-employee" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ARR per employee</a>.

ROAS (Return on Ad Spend)

The revenue generated for every dollar spent on advertising, calculated by dividing ad-attributed revenue by ad spend. A ROAS of 4:1 means $4 in revenue for every $1 spent. ROAS measures the efficiency of paid acquisition channels — not profitability, which requires factoring in <a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a> and <a href="/glossary/contribution-margin" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">contribution margin</a>.

Rule of 40

A SaaS benchmark stating that a company's revenue growth rate plus <a href="/glossary/ebitda" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">EBITDA</a> margin (or free cash flow margin) should equal or exceed 40%. A company growing 30% with 15% EBITDA margin scores 45 — healthy. One growing 25% with 10% margin scores 35 — below the threshold. The Rule of 40 balances growth against profitability.

Rule of X

An emerging SaaS efficiency framework that varies the canonical <a href="/glossary/rule-of-40" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Rule of 40</a> formula to weight growth more (or less) heavily than profitability. Common variants: Rule of 60 (faster-growth bias), Growth-weighted Rule of 40 (multiplies growth rate by 1.5–2× before summing), and Rule of X with FCF margin. Reflects that growth-stage SaaS often deserves higher growth weighting than the symmetric Rule of 40 implies.

SKU Margin

The profit margin on an individual stock-keeping unit (SKU) — calculated as the selling price minus product-specific costs (COGS, shipping, returns, and allocated ad spend), expressed as a percentage of selling price. SKU margin reveals which specific products make money and which ones erode it.

SKU Profitability

<strong>SKU profitability</strong> is the contribution margin (revenue minus all variable costs) for an individual product SKU. SKU-level profitability reveals which products fund the business and which silently destroy margin — typically 1–3 SKUs in any DTC catalog operate below contribution margin neutrality without operators knowing. The metric requires accurate COGS, fulfilment cost, returns rate, and ad attribution at the SKU level. Most ecommerce analytics tools stop at revenue per SKU; profitability per SKU requires integrating accounting data.

SKU-Level Profitability

The profit or loss generated by a single stock-keeping unit (SKU) after deducting its direct <a href="/glossary/cogs" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">COGS</a> and allocated marketing costs from its revenue. SKU-level profitability reveals which specific products, plans, or line items make money and which ones erode margin — a view that product-line or company-level margins cannot provide.

Subscriber Churn (DTC)

The rate at which subscribers to a D2C subscription product cancel or fail to renew — specifically applied to physical-goods D2C brands like consumables, beauty, food, and apparel. DTC subscriber churn is structurally higher than B2B SaaS churn (8–18% monthly is typical) and is driven by inventory accumulation, purchase fatigue, and CAC-channel quality.

Subscription Churn

The rate at which subscribers cancel or fail to renew a recurring subscription product — applicable to D2C subscription brands, B2C apps, and consumer SaaS. Unlike B2B SaaS churn (typically measured monthly at low single digits), consumer subscription churn often runs 5–15% monthly because consumer cancellation friction is low and there's no organisational lock-in. The first 30 and 90 days drive most of the lifetime churn outcome.

TACOS (Total Advertising Cost of Sale)

The percentage of total revenue spent on advertising across all paid channels. Calculated by dividing total ad spend by total revenue and multiplying by 100. Unlike ACOS, which measures a single channel, TACOS captures the blended efficiency of your entire paid acquisition program against all revenue — including organic.

True ROAS

Return on ad spend adjusted for product returns, order cancellations, discounts, and cost of goods sold. While standard <a href="/glossary/roas" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">ROAS</a> measures gross revenue per ad dollar, true ROAS measures the actual profit contribution per ad dollar. It is the version of ROAS that reflects what the business kept, not what it invoiced.

Unit Economics

The revenue and cost analysis of a single unit of a business — typically one customer, one order, or one subscription. Unit economics measures whether each unit contributes profit, combining metrics like CAC, LTV, LTV:CAC ratio, payback period, and contribution margin per customer.

Upsell Revenue

The dollar value of recurring revenue added when an existing customer expands their commitment within the same product line — moving from Starter to Pro, adding seats to an existing seat-based plan, or upgrading to higher usage tiers. Upsell is one of two primary <a href="/glossary/expansion-revenue" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">expansion revenue</a> components, alongside <a href="/glossary/cross-sell-revenue" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">cross-sell revenue</a>. For B2B SaaS, healthy upsell-driven expansion contributes 8–15% of starting ARR annually.

UPT (Units per Transaction)

UPT (Units per Transaction) is the average number of units in a single completed order — calculated as total units sold divided by total orders. For D2C, healthy UPT is 1.4–2.5 depending on category; for apparel and consumables it is one of the most-managed levers because it compounds with <a href="/glossary/aov" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">AOV</a> directly. UPT growth is achievable through bundling, free-shipping thresholds, and cross-sell merchandising.

Working Capital

The difference between a company's current assets (cash, accounts receivable, inventory) and current liabilities (accounts payable, short-term debt, accrued expenses). Working capital measures whether a business has enough liquid resources to cover its short-term obligations and fund day-to-day operations without relying on external financing.

Bottom-Up Forecast

A revenue forecasting method that builds the total number from individual deal-level data. Each opportunity in the pipeline is weighted by its stage probability and expected close date, then aggregated from rep to team to company. The forecast reflects what the pipeline actually contains rather than what a target assumes.

Commit Forecast

A revenue projection built from rep and manager judgment about which specific deals will close within a defined period. Deals are categorized into commit (high confidence), best case (moderate confidence), and upside (possible but uncertain). Unlike weighted forecasts, commit forecasts rely on human assessment rather than stage-based probabilities.

Customer Concentration

<strong>Customer concentration</strong> measures the share of total revenue from a company's largest customers — typically reported as % of revenue from top 1, top 5, top 10 accounts. High customer concentration (>20% from one customer, >50% from top 5) is a material risk for SaaS valuations — VCs and acquirers discount businesses with concentrated revenue. The metric matters most at $10–50M ARR; below $10M, concentration is expected.

DAU/MAU Ratio

<strong>DAU/MAU ratio</strong> measures daily active users as a percentage of monthly active users — a canonical product-engagement metric. A 50% DAU/MAU means the average user opens the product on roughly half the days of the month. Consumer benchmarks: best-in-class apps (Spotify, Instagram) sustain 50–70%; productivity apps (Slack, Figma) sustain 60–80% during workdays; transactional apps (banking, ridesharing) may sustain 5–15%. For B2B SaaS, DAU/MAU correlates strongly with NRR and contract expansion.

Deal Risk Signals

<strong>Deal risk signals</strong> are leading indicators that an open opportunity is likely to slip or be lost — typically extracted automatically from CRM and conversation-intelligence data. Common signals include: stage age above stage median, last activity >14 days, contact loss (champion departure), competitor mention, pricing pushback, multi-thread weakening, calendar gaps. AI-powered revenue intelligence platforms surface these signals proactively for deal-by-deal coaching.

Deal Slippage

When a deal's close date moves beyond the originally forecasted period without closing. Deal slippage measures the percentage of pipeline that pushes from one period to the next, reducing forecast accuracy and creating revenue shortfalls. It is distinct from deal loss — slipped deals remain active but close later than expected.

Forecast Accuracy

<strong>Forecast Accuracy</strong> measures how close a revenue forecast was to actual revenue in a given period. Expressed as a percentage, it quantifies the reliability of your forecasting process. High forecast accuracy means leadership can trust the number for hiring, budgeting, and capacity decisions. Low accuracy means the business is planning on fiction.

Forecast Bias

The systematic tendency of a sales forecast to be consistently too high or too low — not random error, but a directional pattern. Positive bias (sandbagging or overcommitment) inflates pipeline; negative bias understates risk. It is distinct from <a href="/glossary/forecast-accuracy" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">forecast accuracy</a>, which measures error magnitude rather than direction.

Forecast Confidence

<strong>Forecast confidence</strong> quantifies the certainty around a forecasted revenue number — typically expressed as a probability range (e.g., "$4.2M ±8% at 80% confidence"). Confidence intervals come from statistical analysis of historical forecast variance, pipeline-stage probabilities, and rep commit patterns. Reporting a single point estimate without confidence is the most common forecasting mistake — it removes the information executives need to plan for downside scenarios.

Gross Retention (GRR)

<strong>Gross Retention</strong> (also Gross Revenue Retention, GRR) measures the percentage of recurring revenue retained from existing customers excluding any expansion. Formula: (Starting MRR − Churned MRR − Contraction MRR) / Starting MRR. GRR cannot exceed 100%. Best-in-class B2B SaaS: ≥95%. Below 85% typically indicates product-market-fit or customer-success issues. GRR is the cleanest measure of churn-only economics, separate from upsell motion.

MAPE (Mean Absolute Percentage Error)

Mean Absolute Percentage Error — the average percentage distance between forecasted and actual values, calculated as the mean of |((Actual − Forecast) / Actual)| × 100 across periods. MAPE is the standard accuracy metric for sales, demand, and revenue forecasts because it is scale-independent — a 12% MAPE means 12% off whether the underlying numbers are $100K or $10M.

MEDDPICC

<strong>MEDDPICC</strong> is an enterprise sales qualification framework that extends MEDDIC with two additional criteria. The acronym stands for Metrics, Economic buyer, Decision criteria, Decision process, Paper process, Identify pain, Champion, Competition. MEDDPICC is the de facto standard for complex B2B sales motions with deal sizes above $50K ACV — used by sales orgs at Snowflake, Datadog, Salesforce, and most enterprise-SaaS leaders to qualify deals and improve forecast accuracy.

Net Magic Number

<strong>Net Magic Number</strong> is a variant of the Magic Number that uses Net New ARR (gross new + expansion − churn) rather than only gross new ARR. Formula: Net New ARR × 4 / Prior Period S&M Spend. The Net Magic Number better reflects true sales+marketing efficiency for established SaaS businesses with meaningful expansion and churn. Best-in-class Net Magic Number: ≥1.0. Bessemer prefers Net Magic Number for evaluating mature SaaS investments.

Payback Period

<strong>Payback period</strong> is the time required to recover the cost of acquiring a customer through their gross-margin-adjusted revenue. For SaaS: CAC / (ARPA × Gross Margin %). Expressed in months. Best-in-class B2B SaaS: <12 months. Mid-market enterprise (>$50K ACV): 12–18 months acceptable. PLG/SMB: should target <6 months. Payback period is the single most important capital-efficiency metric for venture-backed SaaS in 2026.

Pipeline Coverage Ratio

Total pipeline value divided by the revenue target for a given period, expressed as a multiple. A 3:1 ratio means $3 in pipeline for every $1 of quota. Pipeline coverage answers whether there are enough deals in the pipeline to hit target, given historical <a href="/glossary/win-rate" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">win rates</a> and deal progression patterns.

Pipeline Health

A composite assessment of how likely a sales pipeline is to convert into closed revenue, based on five signals: coverage ratio, deal velocity, stage distribution, deal aging, and activity recency. Pipeline health distinguishes between a pipeline that will produce revenue and one that looks full but is unlikely to close.

Pipeline Health Score

<strong>Pipeline health score</strong> is a composite metric that grades the operational quality of a sales pipeline — typically a 0–100 score combining coverage ratio, velocity, stage age, hygiene completeness, slip rate, push rate, and source diversity. Pipeline health scores translate dozens of leading-indicator metrics into one number that operators can track week-over-week. Best-in-class teams maintain pipeline health scores above 75.

Pipeline Velocity

How fast deals move through pipeline stages, expressed as days-per-stage operationally or as the dollars-per-day <a href="/glossary/sales-velocity" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">sales velocity</a> formula financially. Velocity decline always precedes win-rate decline by 1–2 quarters, making it the single best leading indicator for revenue plan risk.

Retention Curve

A <strong>retention curve</strong> plots the percentage of users or customers still active at each time interval after acquisition. Synonymous with <a href="/glossary/cohort-retention-curve" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">cohort retention curve</a> when applied to specific acquisition cohorts. Retention curves are the canonical visualization for product-market fit assessment — used by every major venture firm and the engineering teams at top consumer apps to evaluate product strength.

Retention Rate

<strong>Retention rate</strong> is the percentage of customers, users, or revenue retained over a defined period. For SaaS: typically reported as gross retention (excluding expansion) or net retention (including expansion). For DTC/ecommerce: typically reported as repeat purchase rate within 30/60/90 days. The metric is the inverse of churn rate. Retention rate benchmarks vary materially by business model — B2B SaaS retention is typically reported in dollars; DTC retention in customers.

SaaS Quick Ratio

<strong>SaaS Quick Ratio</strong> measures how efficiently a SaaS business grows MRR relative to churn. Formula: (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR). A Quick Ratio of 4 means $4 of new + expansion revenue for every $1 lost — strong. A Quick Ratio below 1 means the company is shrinking. Best-in-class B2B SaaS targets a Quick Ratio above 4; the metric is most useful early-stage (under $10M ARR) when growth signal vs. churn noise matters most.

Sales Forecast

A time-bound estimate of expected revenue based on current pipeline, historical close rates, and deal progression data. Sales forecasts translate open opportunities into projected revenue for a given period. They differ from revenue projections, which model future growth using assumptions beyond the current pipeline.

Sales Forecasting

<strong>Sales forecasting</strong> is the systematic estimation of future revenue across a defined period (week, month, quarter, year). Mature forecasting triangulates three methods: bottoms-up (rep-committed deals), top-down (historical patterns + macro), and statistical/AI (probability-weighted pipeline). Forecast accuracy is measured as the percentage variance between forecasted and actual revenue, with best-in-class teams under ±5%. The single biggest predictor of forecast accuracy is pipeline coverage discipline, not the forecasting method itself.

Unweighted Pipeline

The total dollar value of all open opportunities at face value — without any stage probability, win rate, or confidence adjustment applied. It is the gross pipeline number used for <a href="/glossary/pipeline-coverage-ratio" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">coverage ratio</a> calculations and capacity planning. For forecasting, <a href="/glossary/weighted-pipeline" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">weighted pipeline</a> is the more decision-useful view.

WAPE (Weighted Absolute Percentage Error)

A forecast accuracy metric calculated as the sum of absolute errors divided by the sum of actual values — weighting each period by its size rather than averaging period-level percentages. WAPE is the right metric when actual values vary widely (e.g., enterprise SaaS forecasts where a single $2M deal dominates a quarter). It pairs naturally with <a href="/glossary/mape" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">MAPE</a>.

WAU/MAU Ratio

<strong>WAU/MAU ratio</strong> measures weekly active users as a percentage of monthly active users — the engagement metric more appropriate for B2B SaaS where daily use isn't expected. WAU/MAU of 60–75% indicates strong weekly habits; below 40% suggests the product isn't yet a weekly tool. WAU/MAU is the better signal than DAU/MAU for most B2B SaaS, planning tools, and analytics products where workflow integration is the goal — not daily addiction.

Weighted Forecast

A revenue projection method that multiplies each open deal's value by its probability of closing based on pipeline stage. A $100K deal at a stage with 40% historical close rate contributes $40K to the weighted forecast. The method produces a probability-adjusted view of expected revenue.

Weighted Pipeline

The total value of open sales opportunities adjusted by each deal's probability of closing, based on its current pipeline stage. A $100K deal at a stage with 40% historical win probability contributes $40K to the weighted pipeline. It provides a probability-adjusted view of expected revenue from active deals.

Agentic Operations

<strong>Agentic operations</strong> is the evolution of business operations toward AI agents that don't just recommend actions but take them — executing the routine operating cadence (pipeline review prep, weekly variance analysis, customer health triage) so operators focus on judgment and exception handling. Distinct from RPA (rule-based automation): agentic ops uses LLM and ML agents that reason, learn, and integrate across systems. The natural extension of <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">operating intelligence</a> and <a href="/glossary/operator-copilot" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">operator copilot</a> once the trust and observability layers mature.

Business Intelligence vs Operating Intelligence

<strong><a href="/glossary/business-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Business intelligence</a> tells you what happened.</strong> <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Operating intelligence</a> tells you what to do next. BI is the reporting layer — dashboards, queries, charts. OI is the recommendation layer — risks, opportunities, and ranked actions surfaced inside the operator's workflow. BI describes the past in service of human interpretation. OI prescribes the future in service of operator action. The categories are complementary: most modern stacks include both, but the two have different audiences, different success metrics, and different value-capture models.

Decision Intelligence

<strong>Decision intelligence</strong> is a discipline that combines data science, behavioral science, and organizational design to systematize how decisions are made and improved. Distinct from analytics (which describes what happened) and <a href="/glossary/business-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">BI</a> (which reports what is). Decision intelligence answers what to do next — and learns from the outcome. <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Operating intelligence</a> is the operator-facing implementation of decision intelligence: the software layer that converts decision intelligence theory into recommended actions in revenue ops, profit, and growth contexts.

Decision Velocity

<strong>Decision velocity</strong> measures how quickly an organization moves from observed signal to decision to action. High decision velocity (hours to days) compounds — fast operators identify problems, decide, and intervene before issues become entrenched. Low decision velocity (weeks to months) compounds the other way — by the time leadership has aligned, the cost has multiplied. Decision velocity is the operating outcome that <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">operating intelligence</a> and <a href="/glossary/agentic-operations" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">agentic operations</a> are designed to improve.

Metric Tree

<strong>Metric tree</strong> is a hierarchical decomposition of a single top-level outcome metric (revenue, NRR, contribution margin) into its driving sub-metrics, all the way down to the operational levers leadership can pull. A revenue metric tree decomposes into ARR × NRR; ARR into new ARR + expansion − churn; new ARR into pipeline × win rate; pipeline into MQLs × MQL-to-SAL × SAL-to-opp. The tree makes causation visible — when revenue moves, the operator can trace the cause through the structure rather than guessing.

North Star Tree

<strong>North star tree</strong> is a specific kind of <a href="/glossary/metric-tree" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">metric tree</a> that places the <a href="/glossary/north-star-metric" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">north star metric</a> at the top and decomposes the inputs that drive it. Popularized by Sean Ellis and the growth-team canon, the north star tree is the strategic alignment artifact for product, marketing, and growth teams: every initiative ties back to a node on the tree, every node has an owner, and every quarter the team reviews which nodes moved (and which didn't).

Operating Intelligence

A category of software that connects CRM, finance, and marketing data into a single operating view and surfaces actionable recommendations. Unlike traditional BI tools that show what happened, operating intelligence tells operators what is making money, what is leaking margin, and what to do next.

Operating Intelligence Platform

An operating intelligence platform connects fragmented business data — CRM, finance, e-commerce, marketing — into one decision layer that surfaces what's making money, what's leaking margin, and what to do next. It goes beyond business intelligence by adding a recommendation engine that ships specific operator actions, not just charts.

Operating Review

<strong>Operating review</strong> is the recurring meeting where leadership reviews the operating performance of the business against plan — typically weekly or monthly, with attendees from sales, finance, product, marketing, and CS. The goal: spot variances early, decide on interventions, and align cross-functional execution. Best-in-class operating reviews follow a fixed agenda, use a single source-of-truth data layer, and produce documented decisions — distinct from open-ended status updates. <a href="/glossary/weekly-business-review" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Weekly business review (WBR)</a> is the most common variant.

Operator Copilot

<strong>Operator copilot</strong> is an AI-assisted layer that sits alongside the operator inside their daily workflow — surfacing risks, opportunities, and recommended actions in real time, then learning from which actions the operator takes. Distinct from a chatbot or analyst tool: a copilot is proactive, context-aware, and operationally accountable. Modern operator copilots (Fairview, Linear's planning copilots, Glean for operations) are early product implementations of <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">operating intelligence</a> that bring decision support inside the workflow rather than reporting it after the fact.

Recommendation Engine

<strong>Recommendation engine</strong> is the software component that converts operational data and signals into ranked, actionable suggestions for the operator. In e-commerce and consumer contexts, recommendation engines surface products (Amazon, Netflix); in <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">operating intelligence</a> contexts, they surface operator actions — which deals to call, which SKUs to reprice, which accounts to rescue. The distinguishing trait of an operating-intelligence platform vs. a traditional dashboard tool: it has a recommendation engine, not just charts.

Single Source of Truth

<strong>Single source of truth (SSoT)</strong> is the principle that every critical business metric (revenue, ARR, NRR, CAC, contribution margin) is defined and calculated in one canonical place that all teams reference. When marketing reports $4.2M in pipeline and sales reports $3.6M, the org has lost SSoT. When finance reports 28% gross margin and ops reports 33%, the same. The cost of broken SSoT is enormous: weeks of meetings reconciling numbers, decisions deferred, trust eroded. <a href="/glossary/operating-intelligence" class="text-brand-600 underline decoration-brand-200 underline-offset-2 hover:text-brand-700">Operating intelligence</a> platforms exist in part to be the SSoT for operating metrics.

Weekly Business Review

<strong>Weekly business review (WBR)</strong> is the canonical Amazon-popularized operating cadence: a 60-90 minute weekly meeting where leadership reviews 50-200 core metrics against plan, identifies anomalies, and drives root-cause discussion. Originated as Amazon's S-Team weekly cadence; now standard practice at scaled operators. A WBR is distinct from a status meeting: anomalies are surfaced in advance via pre-read documents, owners present narratives (not slides), and decisions are documented and tracked. The fastest single operating-cadence upgrade for most growth-stage companies.