FinTech
Revenue from interchange fees, lending spreads, AUM, or SaaS licensing. Compliance-aware pipelines and complex fee structure reporting.
Business Model
Transaction fees, interest spreads, AUM-based fees, or B2B SaaS licensing
Revenue Cycle
Lead → KYC/Onboarding → Activation → Volume Growth → Renewal / Upsell
RevOps Focus
Compliant pipeline management, activation funnel optimisation, fee reporting reconciliation
Key Metrics
What this industry measures
Take Rate
For marketplace and platform businesses, the percentage of each transaction's GMV that the platform retains as revenue — also called the commission rate or monetisation rate.
What it shows
Take rate reveals how effectively a marketplace monetises the volume flowing through it. Rising take rates signal stronger platform leverage and pricing power; declining take rates often indicate competitive pressure or a deliberate volume-first growth strategy.
Formula
Take Rate = Net Revenue ÷ GMV × 100. A marketplace processing $100M GMV and keeping $15M as revenue has a 15% take rate.
Churn Rate
The percentage of customers or revenue lost in a given period due to cancellations, non-renewals, or downgrades — the core measure of customer retention failure.
What it shows
Churn rate shows how fast the business is leaking its customer base. Even moderate churn compounds dramatically — a 2% monthly churn rate means roughly 22% of the customer base disappears every year, requiring constant replacement just to stay flat.
Formula
Customer Churn Rate = Customers Lost in Period ÷ Customers at Start of Period × 100. Revenue Churn Rate = MRR Lost (ex expansion) ÷ Beginning MRR × 100.
LTV
Customer Lifetime Value (CLV) — the predicted total revenue a customer generates over the entire duration of their relationship with the business.
What it shows
LTV shows how much a customer is ultimately worth and, when compared to CAC (LTV:CAC ratio), reveals whether the business model is economically viable — a ratio below 3:1 typically signals unit economics that need improvement before scaling.
Formula
LTV = Average Revenue per Customer ÷ Churn Rate. For subscription: LTV = ARPU × Gross Margin % ÷ Monthly Churn Rate.
CAC
Customer Acquisition Cost — the total sales and marketing spend required to acquire one new customer, including headcount, tools, programmes, and all associated overhead.
What it shows
CAC shows how efficiently the business converts sales and marketing investment into new customers. Rising CAC without corresponding LTV growth signals the business is becoming less efficient at growth — a key investor concern at scale.
Formula
CAC = Total Sales & Marketing Spend in Period ÷ Number of New Customers Acquired in Period. Blended CAC includes all S&M spend; segmented CAC can be calculated by channel, segment, or market motion.
EBITDA Margin
Earnings Before Interest, Taxes, Depreciation, and Amortisation as a percentage of revenue — a measure of operating profitability before capital structure and non-cash accounting adjustments.
What it shows
EBITDA margin shows the underlying operating efficiency of the business. For SaaS, it is a key input to the Rule of 40 and a primary valuation multiple driver — higher EBITDA margins at scale command premium revenue multiples from acquirers and public market investors.
Formula
EBITDA Margin = EBITDA ÷ Total Revenue × 100. EBITDA = Net Income + Interest Expense + Income Taxes + Depreciation + Amortisation.
Gross Margin
The percentage of revenue remaining after subtracting the direct cost of goods sold (COGS) — for SaaS, COGS includes hosting, support, and customer success costs attributed to delivering the service.
What it shows
Gross margin reveals the inherent profitability of the product at scale. SaaS businesses typically target 70-80% gross margins. Lower margins indicate high delivery costs that constrain the business's ability to invest in growth and reach operating profitability.
Formula
Gross Margin % = (Revenue − COGS) ÷ Revenue × 100. COGS for SaaS includes hosting/infrastructure, third-party licence costs, and direct CS/support team costs.
ARR
Annual Recurring Revenue — the annualised value of all active subscription contracts, normalised to a 12-month period.
What it shows
ARR is the primary measure of a subscription business's scale and trajectory. Rising ARR signals growth; declining ARR signals contraction. It is the single most-watched number by investors and board members evaluating SaaS businesses.
Formula
Sum of all active subscription MRR × 12. Or: (New ARR + Expansion ARR + Reactivation ARR) − (Churned ARR + Contracted ARR).
GMV
Gross Merchandise Value — the total dollar value of all transactions processed through a marketplace or platform in a period, before the platform's commission or fee is deducted.
What it shows
GMV measures the economic activity flowing through a marketplace. It is a scale indicator, not a revenue indicator — a platform's actual revenue is a fraction of GMV determined by its take rate. Growing GMV with declining take rate signals monetisation challenges.
Formula
GMV = Total Value of All Transactions Processed on the Platform in a Period. Revenue = GMV × Take Rate. Disclosed by most marketplace companies as a primary growth metric.
MRR
Monthly Recurring Revenue — the predictable monthly revenue from all active subscriptions, the most granular measure of recurring revenue momentum.
What it shows
MRR reveals month-over-month health of the subscription base. Analysing MRR movements (new, expansion, contraction, churn) shows precisely where the business is growing and where it is leaking revenue — more granular than ARR alone.
Formula
Sum of all active subscription values normalised to a monthly amount. MRR = ARR ÷ 12 for annual contracts. Monthly contracts contribute their full contracted monthly value.
NRR
Net Revenue Retention (Net Dollar Retention / NDR) — measures the percentage of recurring revenue retained from existing customers over a period, including expansion and contraction but excluding new logo revenue.
What it shows
NRR above 100% means the existing customer base is growing without adding any new customers. It is the most scrutinised single metric by SaaS investors — the best indicator of product-market fit and long-term revenue sustainability.
Formula
NRR = (Beginning MRR + Expansion MRR − Contraction MRR − Churned MRR) ÷ Beginning MRR × 100. Measured monthly or annually over a trailing 12-month cohort.
CAC Payback Period
The number of months it takes for a new customer to generate enough gross profit to recover the cost of acquiring them — a measure of capital efficiency in growth.
What it shows
Payback period shows how long the business is capital-negative on each new customer. Short payback (under 12 months) enables aggressive reinvestment in growth. Long payback (over 24 months) creates cash pressure and is a key fundraising efficiency concern.
Formula
CAC Payback Period = CAC ÷ (MRR × Gross Margin %). Result in months. Example: $12,000 CAC on a $500 MRR customer at 80% gross margin = 30-month payback.
Tech Stack
Tools that power this industry's revenue motion
Stripe
BillingA cloud payments infrastructure platform offering payment processing, subscription billing, invoicing, revenue recognition, and financial data APIs for internet businesses of all sizes.
Used for
RevOps teams at SaaS and PLG companies use Stripe to manage self-serve subscription billing, extract MRR and churn data for financial reporting, and build custom revenue dashboards via Stripe's reporting APIs.
Salesforce
CRMThe world's leading cloud-based CRM platform providing a comprehensive suite for managing customer relationships, sales pipelines, service operations, and marketing automation.
Used for
RevOps teams use Salesforce as the system of record for all revenue data — managing leads, contacts, accounts, opportunities, and forecasts — and as the integration hub that connects all other revenue tools.
Snowflake
Data WarehouseA cloud-native data warehouse platform that separates storage from compute, enabling organizations to store and query massive volumes of structured and semi-structured data across multiple cloud providers.
Used for
RevOps teams use Snowflake as the central analytical layer where CRM, marketing, product, and financial data converge, enabling cross-functional revenue analytics that no single source system can provide.
Zuora
BillingA subscription management and revenue automation platform that handles recurring billing, subscription lifecycle management, usage-based pricing, and revenue recognition for subscription businesses.
Used for
RevOps teams use Zuora to manage complex subscription billing scenarios — upgrades, downgrades, prorations, and usage overages — and generate the MRR, ARR, and churn metrics that feed financial reporting.
BigQuery
Data WarehouseGoogle Cloud's serverless, highly-scalable data warehouse that uses SQL and supports petabyte-scale analytics with built-in machine learning capabilities via BigQuery ML.
Used for
RevOps teams at Google Cloud-native organizations use BigQuery to warehouse event streams, marketing touchpoints, and CRM exports for large-scale pipeline and attribution analysis without managing infrastructure.
Python
OtherThe dominant general-purpose programming language used in data science, automation, and analytics, with a rich ecosystem of libraries (pandas, scikit-learn, SQLAlchemy) essential for advanced RevOps work.
Used for
RevOps practitioners use Python to build data pipelines, automate reporting, clean and transform CRM data at scale, build predictive models for churn and lead scoring, and create custom integrations between revenue systems.
Fivetran
ETL/ELTA fully managed cloud ELT platform with 500+ pre-built connectors that automatically replicates data from SaaS applications, databases, and files into a destination data warehouse.
Used for
RevOps teams use Fivetran to automate the ingestion of Salesforce, HubSpot, Marketo, and other revenue data into Snowflake or BigQuery without building or maintaining custom ETL pipelines.
dbt
ETL/ELTAn open-source transformation framework that enables analysts and engineers to define, test, and document data models using SQL within a version-controlled workflow.
Used for
RevOps and data teams use dbt to build clean, tested, documented transformation layers in the warehouse — converting raw CRM, marketing, and product data into reliable business metrics that power dashboards and models.
Tableau
BI/AnalyticsAn enterprise business intelligence and data visualization platform that enables users to build interactive dashboards and reports by connecting to virtually any data source.
Used for
RevOps teams use Tableau to build executive pipeline dashboards, cohort analyses, and forecast views by connecting directly to Salesforce or warehouse data, enabling self-service analytics across revenue functions.