RevenueCat Integration: Track Trials to Purchases by Acquisition Source

When you look at RevenueCat alone, you see revenue numbers. You see that 247 users renewed last month. What you do not see is which of those renewals came from your Apple Search Ads campaign targeting productivity keywords, which came from a Meta Ads broad campaign, and which came from organic search. You are left inferring quality from revenue alone, without knowing which acquisition channel delivers the users most likely to convert and stay.

• RevenueCat tracks transactions but not acquisition source
• Transaction data without attribution context misses campaign-level performance
• You cannot calculate true CAC or ROAS without tying revenue to the spend that drove it
• Trial-to-paid conversion rates are invisible by source without integration

The attribution gap costs you spend: Without source-to-revenue visibility, you risk doubling budget on campaigns that drive installs but never convert, while underfunding the channels that actually create your paying users.

The matching happens server-side, using first-party data that does not rely on device-level identifiers alone. This approach captures conversions that ad platform pixels miss, particularly for users who start a trial on one device and complete the purchase on another, or who delay conversion beyond standard attribution windows.

The result is a funnel view where every RevenueCat event is attributed back to the source that drove the user journey. You see trial starts by source, trial-to-paid conversion rates by campaign, and renewal revenue tied to the original acquisition channel. Every event in RevenueCat becomes an attribution data point you can act on.

• API-based RevenueCat integration pulls all subscription events
• Server-side matching captures cross-device and delayed conversions
• Events include trial starts, conversions, renewals, cancellations, and refunds
• Attribution data includes source, campaign, medium, and when available, keyword or ad group

What gets pulled from RevenueCat: Trial starts, one-time purchases, subscription renewals, cancellations, refunds, and expiration events — all mapped to the acquisition context that Grometrics captured from the user journey.

With screen-level tracking enabled via the Grometrics SDK, you can see exactly where users drop off in your onboarding flow. You can attribute those drop-off points to the campaign that drove the install. You can see whether users who came from your Apple Search Ads campaign reached the paywall at a higher rate than users from organic, and whether those users converted to paid at a different rate.

This matters because trial-to-paid conversion is not a single event — it is a funnel. Users may convert immediately, or they may convert after several days of using your app. Without seeing the full path, you cannot optimize the experience that drives conversion. With Grometrics and RevenueCat connected, you see the complete journey and know which sources create users most likely to convert at each stage.

• Screen-level tracking shows onboarding progression and drop-off by source
• Paywall reach rates can be compared across acquisition channels
• Trial-to-paid conversion rates are visible per campaign and per source
• You can identify which onboarding screens cause the biggest drop for specific traffic sources

Funnel visibility by source: Compare how users from Apple Search Ads, Meta Ads, and organic perform through your onboarding flow. See which sources deliver users who reach the paywall and convert at higher rates.

When you import your Apple Search Ads spend into Grometrics and connect RevenueCat revenue, you get keyword-level ROAS. You see which search terms drive installs that actually convert to paid subscriptions. You see which campaigns generate high-value users who renew, and which generate users who trial but never convert.

This is the closed loop that acquisition teams need. You stop optimizing toward installs and start optimizing toward revenue. You allocate budget to the campaigns and keywords that deliver paying customers, not just impressions and clicks. Every dollar of ad spend is measured against the revenue that users from that spend actually generated, as recorded by RevenueCat.

• Import Apple Search Ads spend for keyword-level ROAS reporting
• RevenueCat revenue is attributed back to the exact campaign and keyword
• True ROAS replaces inflated platform-reported conversion credits
• Budget decisions are backed by actual transaction data, not proxy metrics

Revenue-first attribution: Grometrics uses RevenueCat transaction data as the source of truth for revenue metrics. Every dollar of attributed revenue is tied to a real purchase, renewal, or refund — not a proxied conversion event.

For the acquisition tracking side, Grometrics provides a lightweight script for web and a SDK for iOS, Android, React Native, and Flutter. The SDK captures install source, campaign data, and screen-level events. Setup is designed for founder-led teams who need attribution without the instrumentation overhead of enterprise analytics platforms.

Once connected, your Grometrics dashboard populates with RevenueCat events within minutes. You can immediately see trial starts, conversions, and renewals attributed to your traffic sources. The integration is one of the fastest ways to add RevenueCat attribution to your existing tracking stack without engineering overhead.

• RevenueCat connects via API key — no code changes needed
• Grometrics SDK available for iOS, Android, React Native, Flutter
• Attribution data populates within minutes of connection
• Built for teams without dedicated analytics engineering

Fastest path to revenue attribution: Connect RevenueCat in minutes and see your trial and purchase data attributed to acquisition sources immediately. No instrumentation, no custom events, no developer tickets required.