Build Custom Dashboards With Standardized Revenue Data

Most growth teams don't struggle to make a chart — they struggle to trust the numbers behind it. Revenue lives in App Store Connect exports, Google Play reports, and a tangle of spreadsheets, none of which agree on what counts as real revenue. Superwall fixes the data layer first: net proceeds, trials, conversions, and product-level performance, standardized into one place your team can read from directly.

Why it matters

Growth and monetization teams keep telling us the same thing: they want an “air traffic control” view of monetization — everything considered as a whole, instead of fragmented data spread across main paywalls, discounts, web, and app. The hard part is rarely the chart. It is getting trustworthy, standardized data in the first place: revenue after refunds, fees, and taxes, tied to the right product and placement, in a shape a dashboard can actually read.

Superwall solves the data layer. Revenue Tracking ingests and standardizes your store data so revenue metrics are correct and consistent, and that same standardized data is available in the dashboard, as CSV, through webhooks, and through native integrations — so wherever your team builds dashboards, the numbers agree.

What you can do with Superwall

• See net proceeds, not just top-line sales. The Proceeds chart shows revenue after refunds, store fees, and taxes — the grounded revenue view — alongside Sales, MRR, ARR, and Realized LTV per paid user.

• Break revenue down by product and placement. Across the Charts area you can break a chart down by renewal type, placement, product, or country — directly correlating a feature you paywalled to its revenue growth.

• Filter to the slice that matters. Add one or several filters by application, product, country, and more, then set the display interval and date range (including natural-language ranges like “last month”).

• Export to your own dashboard. Every chart exports to CSV so you can pull standardized revenue and product data into the BI tool of your choice.

• Pipe standardized events anywhere. Webhooks send clean subscription and payment events, and native integrations forward the same data to Amplitude, Mixpanel, PostHog, Firebase, and more.

• Turn data into reports automatically. With Superwall Agents you can point an AI workspace at your data to generate charts, summaries, and recurring reports on a schedule.

How it works

• Standardize the source. Set up Revenue Tracking once — via App Store Connect server notifications, Google Play, or RevenueCat — and Superwall normalizes your store data into net proceeds (revenue after refunds, fees, and taxes). Required to show revenue metrics.
• Slice it in the dashboard. Use Charts to filter, break down by placement / product / country / renewal type, switch between line, bar, and area formats, and choose any date range.
• Get the data out, standardized. Export any chart to CSV, or connect Webhooks. Webhook events are designed so that summing proceeds across all events (unfiltered) accurately represents total revenue net of refunds — and filtering out negative-proceeds events gives you gross. Each event carries fields like price, proceeds, productId, countryCode, currencyCode, renewal/period type, and isTrialConversion.
• Build your dashboard. Drop the CSV into your BI tool, or route standardized events into Amplitude, Mixpanel, PostHog, Firebase and chart them there — your dashboard math is correct by construction.

Proof from customers

In our customer research, paywall analytics and insights came up across roughly a quarter of calls, and teams consistently described wanting one place to understand what is working — an “air traffic control” view rather than fragmented data across main paywalls, discounts, web, and app. The recurring ask is not another chart; it is standardized, trustworthy revenue and product data they can read and act on without filing an engineering ticket.

The design principle behind Superwall’s webhook events — that summing proceeds nets out to real revenue after refunds — exists specifically so that data can be trusted in any dashboard.

Use cases

• Net revenue by product. Break the Proceeds chart down by product to see which subscription is really carrying the business.

• Feature-to-revenue attribution. Break revenue down by placement to tie a feature you paywalled directly to revenue growth.

• Geo and pricing analysis. Break revenue down by country and renewal type to find where net revenue concentrates — or leaks.

• Unified team dashboards. Forward standardized events to Amplitude or Mixpanel so the tools your team already lives in agree on the revenue number.

• Automated readouts. Schedule a weekly revenue and experiment readout with Superwall Agents.

Get started

• Set up Revenue Tracking so your revenue and product data is standardized.

• Explore the Charts area, then export to CSV or wire up Webhooks and integrations for your own dashboard.

• Sign up for Superwall to get started.