How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/posthog/ai-plugin --skill modeling-revenue-metricsBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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`; 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 `mrr` managed view is a current snapshot, not history ("MRR at the current time"). For MRR _over
time, sum recurring `amount` per month from `revenueitem (see the recipe), or materialize a monthly snapshot of the mrr` view on a schedule.
- `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.
- 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.
- 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).




