Revenue Tracking

Set up revenue analytics and monitor subscription metrics

Revenue Tracking

Track MRR, conversion rates, and churn across your paywalls. Understand which campaigns drive the most revenue and where subscribers drop off.

Prerequisites:

At least one product with pricing configured in the dashboard (see Products & Prices)
The iOS SDK installed with a purchase delegate configured (see Purchases)
Users completing purchases through your paywalls (revenue data requires real transactions)

Step 1: Verify the data pipeline

Revenue analytics depend on three things being in place:

Products and prices -- Defined in the dashboard with correct amounts and currencies
Purchase delegate -- Configured in the SDK so transactions sync to the server
StoreKit integration -- Connecting App Store Connect to Nuxie

When a user completes a purchase, the SDK syncs the verified transaction to the server. The server validates it, updates the user's entitlements, and records the revenue event. This data flows into the analytics dashboard automatically.

Step 2: Read the analytics dashboard

Navigate to your app's analytics page in the dashboard. The top of the page displays five KPI cards for the selected date range:

KPI	What it measures
MRR	Monthly recurring revenue from active subscriptions (latest value in the period)
Revenue	Total revenue collected during the period
Active Users	Average daily active users over the selected range
Conversion Rate	Flow conversions divided by flow impressions
Churn Rate	Churned subscriptions divided by total subscriptions (churned + renewed)

Use the date range selector to switch between 7-day, 30-day, and 90-day views. All KPI cards and charts update to reflect the selected range.

Step 3: Understand MRR

The MRR chart shows monthly recurring revenue over time as an area chart. MRR is calculated from active subscriptions -- it does not include one-time purchases or refunded transactions.

Use the MRR chart to:

Spot growth trends after launching new paywalls
Identify periods of contraction that correlate with churn spikes
Measure the revenue impact of campaigns and experiments

Step 4: Track per-campaign revenue

Each campaign has its own metrics view on its detail page. Campaign metrics include:

Impressions -- Number of times the campaign's flow was shown
Conversions -- Number of users who completed the campaign goal
Conversion rate -- Conversions divided by impressions

Compare conversion rates across campaigns to identify your highest-performing paywalls. If you are running experiments, the Experiments tab breaks down conversions by variant so you can see which design drives the most revenue.

Step 5: Monitor churn

The churn chart shows subscription churn over time by comparing churned subscriptions against renewed subscriptions. Churn rate is calculated as:

Churn Rate = Churned / (Churned + Renewed)

A rising churn rate signals that subscribers are not finding enough value. Common responses:

Improve onboarding to set expectations early (see Onboarding Flow)
Test different pricing or trial lengths with experiments (see A/B Test a Paywall)
Target churning users with win-back campaigns using segments (see Targeting by Segment)

Step 6: Analyze conversion funnels

The flow metrics chart tracks impressions and conversions over time. Use this to understand how effectively your paywalls convert at each stage:

Low impressions, high conversion -- Your paywall converts well but is not reaching enough users. Consider broadening your trigger conditions.
High impressions, low conversion -- Many users see the paywall but do not subscribe. Test new designs, pricing, or copy with an experiment.
Declining conversion over time -- Your paywall may be losing effectiveness. Refresh the design or target different segments.

Step 7: Use retention cohorts

The dashboard includes a retention cohort view that groups users by the week they were first seen. Use cohorts to:

Measure long-term engagement after onboarding changes
Compare retention before and after a campaign launch
Identify drop-off patterns by acquisition week

Pair cohort analysis with campaign changes to understand whether your paywalls and onboarding flows improve retention over time.

Next steps

Dashboard & Metrics -- Full reference for KPI cards, charts, and scoping options
Events & Taxonomy -- Understand how events are cataloged and used for analytics
Experiments -- Run A/B tests and compare revenue impact by variant
Your First Paywall -- Set up the end-to-end paywall pipeline if you have not yet