Modeling Revenue Metrics

by PostHog469d1773e9cbNo licenseListed Oct 8, 2026Updated Oct 8, 2026

Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model, define, or compute recurring revenue, monthly/annual recurring revenue, churn or retention of revenue, lifetime value, average revenue per user, or revenue by customer, cohort, product, or currency. On PostHog, build on the managed revenue_analytics_* views (revenue_item, mrr, customer, subscription, charge, product) fed by Stripe or custom revenue events — not raw Stripe tables — and normalize money with convertCurrency(). In dbt, stage the payment source and compute fct_mrr / fct_revenue_item / dim_customer marts with tests. Covers picking the right source, the subscription-config gotcha that leaves MRR empty, currency handling, and linking revenue to persons/groups. Read modeling-warehouse-foundations first for the view-vs-dbt mechanics.

AI-generated overview

Builds reusable revenue models such as MRR, ARR, churn and LTV on PostHog warehouse views or a dbt project.

What it does
Guides an agent through defining and computing recurring-revenue metrics — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV and per-customer revenue — on PostHog managed revenue_analytics_* views via HogQL or in an external dbt project. It covers source selection, currency handling, the subscription-config gotcha that leaves MRR empty, and linking revenue to persons or groups. It ships reference metric definitions plus PostHog and dbt SQL recipes, and produces view definitions or dbt staging and fct_/dim_ marts with tests.
When to use it
Use when a user wants to model, define or compute recurring revenue, monthly or annual recurring revenue, revenue churn or retention, lifetime value, average revenue per user, or revenue by customer, cohort, product or currency. It fits teams whose revenue data sits in PostHog warehouse views or a dbt project.
Requirements
Instructions and reference SQL only; no scripts. Requires PostHog data-warehouse access with revenue_analytics_* views (Stripe or custom revenue events) or an external dbt project, plus the companion skills modeling-warehouse-foundations and, for setup, setting-up-a-data-warehouse-source or suggesting-data-imports. dbt use needs a currency rate seed since convertCurrency() is unavailable there.

Modeling revenue metrics

Turn payment/subscription data into durable revenue models. Read modeling-warehouse-foundations first for the view-vs-dbt decision, the view-* workflow, and convertCurrency(); this skill is the revenue-specific layer on top. Metric definitions live in references/revenue-metric-definitions.md [blocked]; copy-paste recipes in references/posthog/ [blocked] and references/dbt/ [blocked].

Step 1 — find where revenue lives

Revenue reaches PostHog two ways; both feed the same managed revenue_analytics_* views:

  • A payment platform as a warehouse source — Stripe today (Chargebee/Polar/RevenueCat coming). Best when the business runs on a billing platform. Connect via setting-up-a-data-warehouse-source.
  • Custom revenue events — you send events (e.g. purchase_completed) with a revenue property. Best when there's no supported platform or you already track revenue in-product.

If neither exists yet, use suggesting-data-imports to recommend a source. In dbt, the equivalent is staging whichever billing tables landed in the warehouse.

Step 2 — model on the managed views, not raw tables

PostHog auto-generates a curated set of views per source. Do not re-derive revenue from raw Stripe tables — the managed views already handle deferred-revenue recognition, currency, and a stable schema.

Discover the exact names (they're prefixed by source, e.g. stripe.<prefix>.…, plus a cross-source revenue_analytics.all.…):

sql
SELECT table_name FROM system.information_schema.tables WHERE table_name ILIKE '%revenue_analytics%'
Managed viewGrainUse for
revenue_item (start here)1 / invoice line itemGross revenue, monthly recurring revenue, revenue by product/customer/period. Implements deferred revenue + currency.
mrr1 / (customer, subscription)Live snapshot of current MRR — not a time series.
customer1 / customerdim_customer: email, country, cohort, metadata.
subscription1 / subscriptionSubscription state for churn/expansion logic.
charge1 / chargeRaw charges; prefer revenue_item unless you specifically need charges.
product1 / productProduct dimension.

Key revenue_item columns: amount (already converted to the project base currency), currency (that base currency), original_amount / original_currency (as charged), is_recurring, customer_id, subscription_id, product_id, group_0_key…group_4_key (B2B account keys), timestamp.

Rules before you model (revenue gotchas)

  1. MRR is empty without a subscription config. For event-based revenue, MRR only populates when a subscription property is configured. Empty MRR + populated gross revenue is expected behaviour, not a bug — say so instead of "fixing" it.
  2. The mrr managed view is a current snapshot, not history ("MRR at the current time"). For MRR over time, sum recurring amount per month from revenue_item (see the recipe), or materialize a monthly snapshot of the mrr view on a schedule.
  3. amount is already in base currency. Use it directly for reporting. Only call convertCurrency(original_currency, 'XXX', original_amount, timestamp) when you need a different target currency, or when working from raw events.
  4. Link revenue to people via metadata. Person/group-level revenue needs posthog_person_distinct_id metadata on the Stripe customer (or the person join). Without it, revenue is customer-level only.
  5. Don't build on the Revenue dashboard — it's being retired (~2026-06-30). Model against the revenue_analytics_* views and the person/group revenue properties.
  6. Exclude test accounts. Confirm filter_test_accounts behaviour so QA/internal charges don't inflate revenue.

Step 3 — build the model

PostHog: write the HogQL (alias every column), view-create, verify with view-get, then view-materialize the expensive monthly rollups (a daily sync_frequency is usually right for revenue). Recipes: references/posthog/ [blocked] — mrr_and_arr.sql, gross_revenue_by_month.sql, revenue_by_customer.sql.

dbt: stage the billing source → fct_revenue_item, fct_mrr, dim_customer marts with tests. Recipes: references/dbt/ [blocked]. Note dbt has no convertCurrency() — supply a rate seed.

Then register the model (references/governance.md in foundations): annotate columns and, if MRR/ARR is a headline number, propose it to the semantic layer.

File map

FileRead when
references/revenue-metric-definitions.md [blocked]Precise definitions: MRR, ARR, gross, new/expansion/contraction/churn, ARPU, LTV.
references/posthog/ [blocked]HogQL view recipes on the managed views.
references/dbt/ [blocked]dbt staging + fct_*/dim_* marts + schema.yml tests.

Companions

modeling-warehouse-foundations (mechanics), setting-up-a-data-warehouse-source + suggesting-data-imports (get Stripe/revenue data in), modeling-dimension-tables (currency/plan dimensions), querying-posthog-data (HogQL + the semantic-layer metric check).

Source and attribution

Source:PostHog/ai-plugininskills/modeling-revenue-metricsat commit469d177

License: No license

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Modeling Revenue Metrics Agent Skill | SourceWeft