> ## Documentation Index > Fetch the complete documentation index at: https://polar.sh/docs/llms.txt > Use this file to discover all available pages before exploring further. # Analytics > Understand how every metric in your dashboard is calculated. Polar ships with a built-in analytics dashboard so you can stay focused on growing the business rather than wiring up reporting. Each section below maps to one of the dashboards on the **Analytics** page and walks through what its metrics actually mean. ## How metrics are bucketed When you pick a date range, Polar splits it into equal-width **intervals** — one hour, one day, one week, one month, or one year each — and aggregates every metric inside each interval. Each interval (sometimes called a "bucket") is one point on the chart and one row in the API response. ## Subscriptions * **Monthly Recurring Revenue (MRR)** — Sum of every active subscription's amount, normalized to a monthly rate (yearly plans are divided by 12). Trialing subscriptions are excluded. * **Committed MRR** — MRR restricted to subscriptions still inside a committed billing period. Subscriptions that have been canceled but are running out the clock until period end are excluded. * **Trial MRR Including Canceled Trials** — Monthly-normalized amount of every subscription currently in a trial, including trials that have already been canceled. * **Trial Committed MRR** — Trial MRR for trials still inside their committed billing period (i.e. canceled trials are excluded). * **Active Subscriptions** — Count of subscriptions in the `active` state at the end of each interval. Subscriptions stay active until the end of the period they paid for, even after cancellation. * **New Subscriptions** — Subscriptions whose first paid order falls inside the interval. Each subscription is counted once, at creation. * **Committed Subscriptions** — Active subscriptions that have not been canceled, or whose cancellation date is after the interval. These are the subscriptions you can reasonably expect to renew. * **Renewed Subscriptions** — Number of orders with billing reason `subscription_cycle` in the interval — i.e. renewals on existing subscriptions. * **Average Revenue Per User (ARPU)** — MRR divided by the count of distinct paying subscribers in the interval (trials excluded). Returns 0 when there are no paying subscribers. * **Lifetime Value (LTV)** — Estimated revenue per customer over their lifetime: `(ARPU - cost per user) / churn rate`. Returns 0 when churn rate is 0. * **New Subscriptions Revenue** — Gross revenue from the first paid order on every new subscription created in the interval. * **Renewed Subscriptions Revenue** — Gross revenue from subscription renewal orders in the interval. ## Cancellations * **Canceled Subscriptions** — Subscriptions where the customer triggered a cancellation in the interval. The subscription itself may still be active until the end of the paid period. * **Churned Subscriptions** — Subscriptions whose paid period actually ended inside the interval. This is "real" churn — the moment access stops. * **Churn Rate** — Churned subscriptions in the interval divided by the active subscription base at the start of the interval, expressed as a percentage. * **Active Subscriptions** — Same definition as in the [Subscriptions](#subscriptions) dashboard. Shown here to contextualise churn against the underlying base. * **Committed Subscriptions** — Same definition as in the [Subscriptions](#subscriptions) dashboard. * **Cancellation reasons** — Stacked chart of canceled subscriptions broken down by the reason the customer picked at cancellation: *too expensive*, *missing features*, *switched service*, *unused*, *customer service*, *low quality*, *too complex*, or *other* (free-form or no reason given). ## One-Time Products * **One-Time Products** — Number of completed orders for non-recurring products in the interval. Subscription orders are not included. * **One-Time Products Revenue** — Gross revenue (subtotal before fees) from those one-time product orders. ## Orders * **Revenue** — Gross revenue from every completed order in the interval: one-time purchases, new subscription orders, and renewal orders. Computed on the order subtotal, before Polar fees and tax. * **Orders** — Total number of completed orders in the interval, regardless of billing reason. * **Average Order Value (AOV)** — Revenue divided by the number of orders. Returns 0 when there are no orders. * **Cumulative Revenue** — Running total of revenue from the start of the selected range up to and including the current interval. ## Checkouts * **Checkouts Conversion** — Succeeded checkouts divided by total checkouts created, as a percentage. Returns 0 when no checkouts were created. * **Checkouts** — Every checkout session created in the interval, regardless of outcome (succeeded, expired, or abandoned). * **Succeeded Checkouts** — Checkouts that reached the `succeeded` status, meaning they resulted in an order. ## Net Revenue * **Net Revenue** — Revenue after deducting Polar's platform fee and the payment processor's fee on each order. This is the amount actually paid out to you. * **Net Average Order Value** — Net revenue divided by the number of orders in the interval. * **Net Cumulative Revenue** — Running total of net revenue from the start of the selected range up to the current interval. * **New Subscriptions Net Revenue** — Net revenue from the first paid order on every new subscription. Shown when your organization sells recurring products. * **Renewed Subscriptions Net Revenue** — Net revenue from subscription renewal orders. Shown when your organization sells recurring products. * **One-Time Products Net Revenue** — Net revenue from one-time product orders. Shown when your organization sells one-time products. ## Costs The Costs dashboard is powered by [Cost Insights](/features/cost-insights/introduction) — you'll only see data here once you start sending events with a `_cost` annotation. * **Costs** — Total operating costs ingested via Cost Insights in the interval. Stored at sub-cent precision so per-event costs (e.g. token-level inference costs) aren't rounded away. * **Cost Per User** — Cumulative costs in the selected range divided by the count of active subscribers. Returns 0 when there are no active subscribers. * **Gross Margin** — Cumulative revenue minus cumulative costs over the selected range. * **Gross Margin %** — Gross margin expressed as a percentage of cumulative revenue. Returns 0 when cumulative revenue is 0. * **Cashflow** — Revenue minus costs for the interval itself (not cumulative). Useful for spotting periods where costs outpaced revenue.