Modeling revenue metrics
SkillMonitoring & opsBuild 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Modeling revenue metrics skill
What this skill tells your AI
The instructions your AI receives, as published by posthog/posthog in products/data_modeling/skills/modeling-revenue-metrics/SKILL.md and read by ahel’s review.
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; copy-paste recipes in
references/posthog/ and references/dbt/.
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.…):
SELECT table_name FROM system.information_schema.tables WHERE table_name ILIKE '%revenue_analytics%'
| Managed view | Grain | Use for |
|---|---|---|
revenue_item (start here) | 1 / invoice line item | Gross revenue, monthly recurring revenue, revenue by product/customer/period. Implements deferred revenue + currency. |
mrr | 1 / (customer, subscription) | Live snapshot of current MRR — not a time series. |
customer | 1 / customer | dim_customer: email, country, cohort, metadata. |
subscription | 1 / subscription | Subscription state for churn/expansion logic. |
charge | 1 / charge | Raw charges; prefer revenue_item unless you specifically need charges. |
product | 1 / product | Product 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)
- 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.
- The
mrrmanaged view is a current snapshot, not history ("MRR at the current time"). For MRR over time, sum recurringamountper month fromrevenue_item(see the recipe), or materialize a monthly snapshot of themrrview on a schedule. amountis already in base currency. Use it directly for reporting. Only callconvertCurrency(original_currency, 'XXX', original_amount, timestamp)when you need a different target currency, or when working from raw events.- Link revenue to people via metadata. Person/group-level revenue needs
posthog_person_distinct_idmetadata on the Stripe customer (or the person join). Without it, revenue is customer-level only. - 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. - Exclude test accounts. Confirm
filter_test_accountsbehaviour 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/ — 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/. 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
| File | Read when |
|---|---|
references/revenue-metric-definitions.md | Precise definitions: MRR, ARR, gross, new/expansion/contraction/churn, ARPU, LTV. |
references/posthog/ | HogQL view recipes on the managed views. |
references/dbt/ | 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).
Signals
- GitHub stars
- 40k
- Forks
- 3k
- Last commit
- Sep 2026
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modeling-revenue-metrics- Source
- github.com/posthog/posthog