Superwall for data teams

Most subscription data is a reconciliation project. App store payloads in one place, paywall impressions in another, experiment exposures in a third, and a renewal model stitched together from receipts that arrive late and out of order. The growth team asks which variant won, and the honest answer is "give me a few days to line the tables up." Superwall exists so that question has a same-day answer — and so the data team doesn't have to build the pipeline to get it.

The real job: one trustworthy source for monetization

Data teams at subscription apps rarely need another dashboard. They need the underlying events to be complete, queryable, and consistent with whatever the growth team is looking at. When the paywall is hard-coded and the analytics are bolted on after the fact, every monetization question becomes an engineering ticket: instrument the event, ship a build, wait for adoption, backfill the gap. By the time the data is clean, the experiment everyone cared about is two cycles old.

Superwall flips that. The SDK automatically tracks the events that power its charts — paywall opens, transactions, conversions, experiment exposures — so the instrumentation is there before you ask for it. The question stops being "can we measure this?" and becomes "what do we want to know?"

Query the raw events with SQL

The capability that matters most for a data team: Superwall gives you direct SQL access to the same data that drives the charts and campaign results. The ClickHouse query API exposes row-level analytics tables — raw Superwall events, revenue and attribution data, subscription-status records, and user attributes — so you can answer questions the prebuilt views were never going to anticipate. Cohort a renewal curve by acquisition source. Join paywall exposure to downstream LTV. Reconcile proceeds against your own model. It's your data, in SQL, not an export you have to reverse-engineer.

Query with the ClickHouse API

Access is provisioned safely. Superwall stands up a read-only ClickHouse user for your organization and applies row-level policies so queries only ever return data for your own applications. Your analysts get a real query surface without anyone wiring up credentials or worrying about scope.

Stream events into the stack you already run

Not every question lives in Superwall. When the canonical analytics home is your warehouse or product-analytics tool, Superwall pushes its subscription and payment events straight there. Native integrations send events to Amplitude, Mixpanel, PostHog, Customer.io, and Firebase / Google Analytics, so paywall and monetization activity shows up alongside the rest of your product data without a custom forwarder to maintain.

For full control over the pipeline, webhooks deliver real-time notifications of subscription and payment events to any endpoint you own, with request verification so you can trust what you ingest. Point them at your own loader and the events land in the warehouse on your terms.

Read experiment results you can defend

A/B testing is the single most-requested job among Superwall customers, and it's only useful if the results hold up to scrutiny. Because experiment exposure is tracked as a first-class event, you don't have to guess who saw which variant. Superwall computes experiment results over that data, and the same rows are sitting in the query API if you want to re-derive the numbers, check the significance yourself, or slice the lift by a cohort the dashboard doesn't break out. When the growth team wants to ship a winning paywall, the data team can sign off with confidence instead of caveats.

Understand experiment results

Why this lands with data teams

Customers consistently describe wanting an "air traffic control" view of monetization — main paywalls, discounts, web, and app considered as one whole, not four fragmented reports. The combination of automatic instrumentation, raw SQL access, and event streaming is how a data team delivers that view without standing up and babysitting a bespoke pipeline. And because the growth team can change paywalls, offers, pricing, and onboarding without an app release, the cadence of questions speeds up — your work compounds instead of being a bottleneck.

Get started

Start with the dashboard charts to see the metrics that ship out of the box — ARR, MRR, conversions, proceeds, active subscriptions — then open the ClickHouse query API when you're ready to ask your own questions in SQL. Wire up an integration or webhook to land everything in your warehouse, and create a Superwall account to point your analysts at one trustworthy source for monetization.

See the dashboard charts