AppsFlyer Alternatives That Work With RevenueCat

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Hyunjong Choi
··8 min read
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AppsFlyer Alternatives That Work With RevenueCat

RevenueCat lists official attribution integrations with AppsFlyer, Adjust, Branch, Singular, Kochava, and Airbridge (plus smaller providers such as Tenjin and Appstack). This guide compares those six. Each MMP receives subscription event data from RevenueCat, but they differ in how they handle subscription attribution, what setup looks like, and how pricing works for subscription-focused teams.

Why Your MMP Choice Matters for Subscription Apps

Subscription apps have a measurement problem that install-focused MMPs were not built to solve. A user who installs your app today might not convert to a paid subscription for days or weeks. When they do convert, you need to attribute that revenue back to the campaign that drove the install.

RevenueCat handles the subscription infrastructure side: managing purchases, entitlements, and cross-platform receipts. But RevenueCat does not do attribution. That is where your MMP comes in. The integration between RevenueCat and your MMP sends subscription lifecycle events (trial starts, conversions, renewals, cancellations) to the MMP so you can tie revenue to acquisition channels.

The question is which MMP handles this data most effectively and at what cost.

How RevenueCat MMP Integrations Work

RevenueCat sends server-to-server events to your MMP when subscription state changes occur. The typical data flow looks like this:

  1. User installs the app and the MMP SDK records the attribution source.
  2. User starts a free trial or subscribes, and RevenueCat records the transaction.
  3. RevenueCat sends the event (trial start, conversion, renewal, cancellation) to the MMP via the integration.
  4. The MMP matches the event to the original install attribution, giving you campaign-level subscription metrics.

This means your MMP needs to handle two things well: accurate install attribution and reliable ingestion of RevenueCat's subscription events.

MMP Comparison: RevenueCat Integration Details

MMP RevenueCat Integration Subscription Events Received Where You Configure It Subscription-Specific Features
AppsFlyer Official Subscription lifecycle events (see RevenueCat docs) RevenueCat dashboard + AppsFlyer SDK Revenue attribution via SKAN and probabilistic matching
Adjust Official Subscription lifecycle events (see RevenueCat docs) RevenueCat dashboard + Adjust SDK Fraud Prevention Suite (sold as an add-on)
Branch Official Subscription lifecycle events (see RevenueCat docs) RevenueCat dashboard + Branch SDK Strong deep linking for re-engagement
Singular Official Subscription lifecycle events (see RevenueCat docs) RevenueCat dashboard + Singular SDK Cost aggregation; fraud prevention included in every plan
Kochava Official Subscription lifecycle events (see RevenueCat docs) RevenueCat dashboard + Kochava SDK Ad fraud prevention in its plans (Fraud Console on Enterprise)
Airbridge Official Start Trial, Subscribe (initial purchase, trial conversion, renewal), Unsubscribe RevenueCat dashboard + Airbridge SDK Predictive LTV (up to 180 days), subscription events mapped to standard events

All six MMPs have official RevenueCat integrations, and on every one you switch the integration on from RevenueCat's dashboard. The differences come down to what you can do with the subscription data once it arrives.

AppsFlyer: The Incumbent

AppsFlyer is the most widely used MMP and has a mature RevenueCat integration. Its published pricing is based on attributed conversions (installs or user actions it attributes), which means costs scale with paid volume. Self-serve plans exist alongside a sales-led Enterprise plan.

For subscription apps, AppsFlyer provides revenue attribution through SKAN and probabilistic matching. The platform handles subscription events from RevenueCat and maps them to campaigns. The challenge for smaller teams is that per-conversion pricing can become expensive as you scale, and features such as Protect360 fraud protection are listed as premium.

Adjust: Fraud-Focused

Adjust has an official RevenueCat integration and is known for its fraud prevention capabilities. The Fraud Prevention Suite is available as an add-on, which is worth considering if you operate in markets with high fraud rates.

For subscription attribution, Adjust receives lifecycle events from RevenueCat and attributes them to campaigns. The platform handles the standard subscription events well. Teams that prioritize fraud detection alongside subscription tracking may find Adjust a strong fit.

Branch: Deep Linking Strength

Branch differentiates through deep linking. If your subscription app relies heavily on referral programs, email campaigns, or web-to-app flows, Branch's deep linking capabilities add value beyond basic attribution.

Branch has an official RevenueCat integration and handles subscription event data. Where Branch stands out is routing users to specific content or offers within the app after install, which can improve trial-to-paid conversion rates for subscription products.

Singular and Kochava

Singular offers cost aggregation across channels alongside its official RevenueCat integration, which helps subscription teams understand blended CAC across all paid channels. Kochava lists ad fraud prevention in its plans (with its Fraud Console on Enterprise) and also integrates officially with RevenueCat.

Both platforms handle subscription events reliably. Singular tends to appeal to teams focused on media cost optimization, and its pricing page says fraud prevention is included in every plan. Kochava is another option for teams that want fraud protection built into the platform.

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Airbridge: Built for Subscription Metrics

Airbridge integrates officially with RevenueCat and approaches subscription attribution differently from the incumbents. Its 25 standard events include Start Trial, Subscribe, and Unsubscribe. RevenueCat trial starts map to Start Trial; initial purchases, trial conversions, and renewals map to Subscribe; cancellations map to Unsubscribe. Because these are standard events, they work on the Core Plan without custom event configuration.

Three features stand out for subscription teams:

Predictive LTV (up to 180 days): Available on the Core Plan, this models subscriber lifetime value up to 180 days out and shows it in the Airbridge dashboard. For subscription apps where payback periods extend well beyond the first month, this helps you make acquisition decisions based on projected value rather than just day-7 or day-30 ROAS.

RevenueCat as a core integration: The Core Plan ($40+/mo) includes 2 third-party integration slots, and RevenueCat is one of the supported integrations. The Growth Plan provides unlimited integrations for teams with more complex stacks.

Self-serve setup: You can sign up and install the SDK without a sales call. The Core Plan covers 4 ad channels: Google Ads, Meta Ads, Apple Ads, and TikTok. The 30-day free trial means you can test the RevenueCat integration before committing, and Core is billed monthly with no annual contract.

Planfit, a fitness subscription app, reduced CAC by 40% through free trial optimization using Airbridge's subscription event tracking. Bitbyte grew revenue 10x with Predictive LTV by using projected lifetime value to decide where to scale spend.

How to Evaluate the Right Fit

Choosing between these MMPs comes down to your team's priorities:

  • If fraud is your top concern: Adjust (Fraud Prevention Suite add-on), Singular (fraud prevention in every plan), or Kochava.
  • If deep linking drives conversions: Branch adds value beyond basic attribution.
  • If cost aggregation matters most: Singular consolidates spend data across channels.
  • If you need subscription-specific analytics on a lower budget: Airbridge's Core Plan at $40+/mo includes Predictive LTV and RevenueCat integration with a 30-day free trial.
  • If you need an established ecosystem: AppsFlyer has one of the largest partner networks in the market.

For a deeper comparison of MMPs for subscription apps, see the full breakdown of AppsFlyer alternatives for subscription apps and the head-to-head comparison of AppsFlyer vs Airbridge for subscription tracking. You can also explore the guide to choosing the right mobile attribution platform for subscription apps.

FAQ

Does RevenueCat work with all major MMPs?

Yes. RevenueCat has official integrations with AppsFlyer, Adjust, Branch, Singular, Kochava, and Airbridge, as well as Tenjin and Appstack. Each integration sends subscription lifecycle events (trial starts, conversions, renewals, cancellations) from RevenueCat to the MMP via server-to-server communication.

What subscription events does RevenueCat send to MMPs?

RevenueCat sends events including initial purchase, trial start, trial conversion, renewal, cancellation, billing issue, and product change. The exact events available depend on the MMP's integration, and some (such as billing issue or product change) are optional or arrive as custom events. In Airbridge, trial start, purchase/renewal, and cancellation map to standard events (Start Trial, Subscribe, Unsubscribe); other event types arrive as custom events, which require the Growth Plan.

Can I switch MMPs without disrupting my RevenueCat setup?

Yes. RevenueCat's MMP integrations are configured on RevenueCat's side. You enable the new MMP integration in RevenueCat's dashboard, configure the connection credentials, and subscription events start flowing to the new MMP. Historical data in the old MMP remains there, but new events route to the new platform.

Do I need both an MMP and RevenueCat?

They serve different functions. RevenueCat manages subscription infrastructure: purchase validation, entitlement management, cross-platform receipts, and subscriber status. An MMP handles attribution: which campaigns, channels, and creatives drove each install and subsequent subscription. Together, they give you the full picture of acquisition cost relative to subscription revenue.

What is Predictive LTV and why does it matter for subscription apps?

Predictive LTV projects how much revenue a user will generate over a future period (up to 180 days with Airbridge). Airbridge multiplies a machine-learning prediction of user lifetime by average revenue per daily active user (ARPDAU). This matters because subscription apps often have long payback periods. Without predictive models, you are making campaign optimization decisions based on incomplete data, potentially cutting campaigns that produce high-LTV subscribers just because early returns look modest.

How long does it take to set up an MMP with RevenueCat?

Setup time varies by MMP. The MMP SDK integration is usually the longest step, and it depends on the platform and your app's complexity. The RevenueCat side of the integration is typically configured in minutes through the RevenueCat dashboard. Plan for testing time to verify events are flowing correctly before relying on the data for campaign decisions.

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