Turn Stripe payments data into a causal system that shows why revenue moves and who owns the response.

Average revenue per transaction measures the mean monetary value of each successful payment processed through Stripe. It reflects pricing effectiveness and purchase behaviour across your customer base.

Charge success rate is the percentage of payment attempts that are successfully authorised and captured. It encompasses card network approvals, 3D Secure completions, and gateway processing outcomes.

Chargeback rate is the percentage of transactions that result in a customer-initiated dispute with their card issuer. Keeping this rate below card network thresholds is essential to maintaining processing privileges.

Customer lifetime value (LTV) estimates the total revenue a customer will generate across all transactions over their relationship. For Stripe users, it aggregates both one-time and recurring payments into a comprehensive value figure.

Dispute resolution rate measures the percentage of chargebacks and disputes that are resolved in your favour after evidence submission. It reflects the effectiveness of your dispute management process.

Failed payment recovery rate measures the percentage of initially declined payments that are subsequently collected through retry attempts, card updates, or customer outreach. It quantifies revenue saved from potential loss.

Fraud detection rate measures the percentage of fraudulent transactions correctly identified and blocked before processing. It reflects the effectiveness of fraud prevention rules and machine learning models.

Gross payment volume (GPV) is the total monetary value of all transactions processed through Stripe before deducting fees, refunds, and chargebacks. It represents the overall scale of payment activity.

Monthly recurring revenue (MRR) is the normalised monthly value of all active Stripe subscriptions. It standardises different billing intervals into a consistent monthly figure for tracking subscription revenue momentum.

Net revenue is the total payment volume minus Stripe processing fees, refunds, chargebacks, and other deductions. It represents the actual revenue retained from payment processing activity.

Payment method distribution shows the share of transactions processed via each payment method, including cards, bank transfers, digital wallets, and local payment methods. It reveals customer payment preferences.

Payout timing analysis measures the interval between payment capture and fund settlement to your bank account. It tracks payout schedules, holds, and any delays that affect cash flow predictability.

Recurring vs one-time revenue analysis separates subscription-based revenue from single purchases to show the balance between predictable and transactional income streams. It measures the stability of your revenue base.

Refund rate is the percentage of transactions that are refunded, either fully or partially. It indicates customer satisfaction issues, product problems, or policy-related returns.

Revenue by currency segments total payment volume by the transaction currency. It reveals international revenue composition and helps quantify foreign exchange exposure for businesses operating across multiple markets.

Revenue by product breaks down total payment volume by product or service line. It shows which offerings contribute most to revenue and how the product mix evolves over time.

Revenue growth rate measures the percentage change in total revenue between periods. It captures the combined effect of new customer acquisition, existing customer expansion, and churn on overall revenue trajectory.

Revenue per customer divides total revenue by the number of unique paying customers. It captures how effectively you monetise each customer relationship through pricing, upselling, and cross-selling.

Subscription churn rate is the percentage of active subscriptions that are cancelled within a given period. It measures the rate of subscriber attrition and is a core indicator of product-market fit and customer satisfaction.

Subscription growth rate measures the net percentage change in active subscriptions over a period. It reflects the balance between new subscriptions acquired and existing subscriptions lost to churn.

Subscription upgrade rate is the percentage of subscribers who move to a higher-value plan within a given period. It reflects the effectiveness of upsell motions and product tier design.

Transaction fee analysis examines the total and per-transaction cost of payment processing, including Stripe platform fees, card network fees, and currency conversion charges. It reveals the true cost of accepting payments.

Transfer volume analysis tracks the total value and frequency of transfers between Stripe accounts, particularly relevant for Connect platforms. It measures marketplace payment flow health and connected account activity.

Trial conversion rate measures the percentage of trial subscriptions that convert to paid plans at the end of the trial period. It is a critical indicator of product-market fit and onboarding effectiveness.

Volume by payment method measures the total transaction value processed through each payment method type. It quantifies the financial weight of each method beyond simple transaction counts.

Card decline rate is the percentage of card payment attempts that are refused by the issuing bank or card network. It captures both soft declines, which may succeed on retry, and hard declines, which require customer action to resolve.

Cohort revenue analysis groups customers by the period in which they made their first Stripe payment and tracks the revenue each cohort generates over subsequent months. It reveals how monetisation and retention evolve for different acquisition vintages.

Customer acquisition cost (CAC) is the total sales and marketing expenditure required to acquire one new paying customer. When paired with Stripe payment data, it links spend to verified first-payment events rather than sign-ups alone.

Dispute rate measures the percentage of transactions that customers formally dispute through their card issuer. Unlike chargeback rate, which focuses on completed chargebacks, dispute rate includes all initiated disputes regardless of outcome.

Gross profit margin is the percentage of revenue remaining after deducting the direct costs of delivering your product or service, including Stripe processing fees. It measures how efficiently you convert revenue into profit before operating expenses.

Repeat customer rate is the percentage of customers who make more than one purchase within a defined period. It reflects customer loyalty, product satisfaction, and the effectiveness of retention and re-engagement programmes.

Average Revenue Per User measures the mean revenue generated by each active paying customer in your Stripe account over a defined period. Using Stripe charge, invoice and subscription data, it divides total recognised revenue by the count of distinct paying customers, giving a per-customer view of monetisation. It strips out volume effects so you can see whether each account is contributing more or less over time.

CAC Payback Period measures the number of months it takes to recover the cost of acquiring a customer from the gross margin that customer generates. With Stripe as the system of record for charges, subscriptions and invoices, the recurring revenue side of the calculation comes straight from settled payment data, while acquisition cost is supplied from your sales and marketing spend. It tells you how quickly each new customer turns from a cost into a contributor.

Churn Rate measures the proportion of active Stripe subscriptions that cancel or lapse within a given period. In Stripe terms it is derived from subscription status transitions, where a subscription moving to canceled or unpaid counts as churn against the base of subscriptions that were active at the start of the period. It can be expressed as customer churn, counting lost subscribers, or as revenue churn, weighting each loss by its monthly recurring revenue.

Cohort Analysis groups Stripe customers by the period in which their first successful charge or subscription started, then follows each group over time. Using Stripe charge, subscription, and customer records, it shows how each cohort retains, expands, or churns across subsequent months. This turns a flat revenue figure into a view of how customer behaviour changes depending on when they joined.

Coupon Effectiveness Analysis measures the revenue, conversions and retention generated by each Stripe coupon or promotion code against the discount value given away. In Stripe, every applied coupon is recorded on invoices, subscriptions and charges, so you can attribute redemptions to specific codes and compare net revenue after discount to the gross value of the offer. It tells you which promotions grow durable revenue and which simply hand margin to customers who would have paid full price.

Customer Segmentation Analysis groups your Stripe customers into meaningful cohorts based on attributes already present in Stripe data, such as total spend, subscription plan, billing frequency, signup month, and payment behaviour. Rather than treating every customer as the same, it reveals how revenue, retention, and risk differ across segments. In Stripe terms, it draws on the customers, charges, invoices, and subscriptions objects to assign each customer to a segment and then measures performance within each one.

Failed Payment Analysis measures the volume and value of Stripe charges that do not succeed, broken down by the failure reason Stripe returns, such as insufficient funds, expired card, do not honour or fraud block. In Stripe data, each failed charge carries an outcome and a decline code, so the analysis groups failures by cause, card network, customer and whether the payment was a first attempt or a renewal. It turns raw failure events into a clear picture of how much revenue is at risk and which causes are recoverable.

Gross Revenue Retention measures the percentage of recurring revenue you retain from an existing cohort of Stripe customers over a period, before any expansion is counted. It uses Stripe subscription, invoice and cancellation data to subtract churn and downgrades from the starting recurring revenue. Because expansion is excluded, the figure can never exceed 100 per cent, which makes it a clean read on revenue leakage.

Involuntary Churn Rate measures the share of subscription customers lost because a renewal payment failed rather than because they chose to cancel. In Stripe, it is derived from failed invoice and charge events on active subscriptions, typically caused by expired cards, insufficient funds, or issuer declines. It separates payment-driven loss from deliberate cancellation so the team can see how much churn is recoverable through better billing operations.

Net Revenue Retention measures how much recurring revenue you keep and grow from an existing cohort of Stripe customers over a period, before any new customers are counted. Using Stripe subscription, invoice and credit note data, it nets expansion from plan upgrades and added quantity against contraction from downgrades and cancellations. A value above 100 percent means your existing base is growing on its own, even with some churn.

Payment Method Performance measures how each payment method captured in Stripe, such as cards by brand, digital wallets, bank debits and buy now pay later, performs across authorisation success, average transaction value and dispute frequency. It is built from the payment_method and payment_method_details fields on Stripe charges and PaymentIntents, grouped by method type. The metric turns a single blended success rate into a per-method view so you can see exactly where authorisations and revenue are won or lost.

Payment Retry Success Rate measures the share of failed Stripe charges that succeed on a subsequent retry attempt within a defined window. In Stripe, this draws on the charges and invoices objects, where an initial decline (for example insufficient funds or an expired card) is followed by a Smart Retries or scheduled dunning attempt that ultimately clears. It isolates how effectively your retry logic recovers payments that would otherwise be lost.

Payment Success Rate measures the proportion of Stripe payment attempts that complete successfully against the total number of attempts made over a period. In Stripe terms, it compares PaymentIntents and Charges that reach a succeeded status with all attempts, including those that fail at authorisation. It is a direct read on how reliably your checkout converts intent into captured revenue.

Plan Migration Analysis measures how Stripe subscribers move between pricing plans over a period, breaking movements into upgrades, downgrades and lateral switches. It draws on Stripe subscription and subscription_item events, where a change in the linked price or plan against an existing subscription marks a migration. The metric quantifies both the count of each movement type and the net recurring revenue gained or lost as customers change tier.

Revenue Cohort Analysis groups Stripe customers by the period in which they first paid, then follows the revenue each group generates in every period that follows. Using Stripe charge, invoice, and subscription data, it shows how much of a cohort revenue persists, expands, or churns months after acquisition. Each cohort becomes a row, and each later period becomes a column, so retention and expansion curves are visible at a glance.

Revenue Concentration Analysis measures how much of your total Stripe revenue is generated by your largest customers over a defined period. Using Stripe charge, invoice and subscription records grouped by customer, it shows the share of revenue held by your top accounts, typically the top 10 percent or a fixed top N. A high concentration means a small number of customers carry most of your income, which raises the risk that a single churn or dispute materially dents the business.

Seasonal Revenue Patterns measure how Stripe revenue rises and falls across recurring calendar periods such as months, quarters, or holidays. By aggregating successful charges and invoices from Stripe over multiple years and comparing the same period against its historical average, you isolate the seasonal component from underlying growth. This shows whether a given month is naturally stronger or weaker rather than reflecting a real change in trajectory.

Subscription Change Analysis measures the volume and revenue impact of changes to Stripe subscriptions over a period, broken down into upgrades, downgrades, quantity changes, interval switches and cancellations. It reads Stripe subscription and subscription_item events to classify each change and attach the monthly recurring revenue it added or removed. The result is a clear view of whether plan movement across your customer base is net expansionary or net contractionary.

Subscription Renewal Rate measures the proportion of Stripe subscriptions due to renew in a period that actually renew rather than cancel or lapse. In Stripe terms it counts subscriptions whose billing cycle advances with a successful invoice payment, against all subscriptions that reached a renewal point in the same window. It is read directly from Stripe subscription, invoice and event data, so it reflects both voluntary cancellations and involuntary lapses from failed payments.

Time To First Payment measures the elapsed time between when a customer record is created in Stripe and when that customer completes their first successful charge. Using the Stripe customer created timestamp and the timestamp of the earliest succeeded charge, it captures how quickly new accounts convert into paying customers. A shorter time indicates a smoother path from sign-up to revenue.