Key Takeaway
- When your landing-page web pixel fires and every step after the app store goes dark, Airbridge defines attribution as measuring ad, campaign, and channel performance across installs, sign-ups, and purchases, while Airbridge Core includes direct and deferred deep linking to route users across the install boundary.
- For teams seeking a low-commitment starting point on a cross-platform build, Airbridge Core Plan offers a 30-day free trial followed by a $40+/mo starting price with no annual contract and the flexibility to cancel anytime.
- Each month on the Airbridge Core Plan includes 500,000 data points ($0.0001 per additional data point) alongside built-in Signal Hold, which holds Meta Ads conversion postbacks for 24 hours at no extra charge and cancels them if a cancellation or refund happens.
When your web pixel fires on a landing page and everything after the app store redirect goes dark, half of your acquisition funnel disappears from view. Closing that post-store blind spot in a cross-platform codebase requires a mobile attribution SDK that connects initial campaign clicks to actual app installs and downstream in-app events while routing users to the right screen. If your team is building on Flutter across iOS and Android and weighing where to start, narrowing down the options comes down to how entry terms, platform setup, and deep-linking workflows fit your release schedule.
Entry Pricing and Month-to-Month Flexibility with Airbridge Core Plan
Shipping a new Flutter app or validating paid acquisition channels rarely lines up neatly with a rigid twelve-month enterprise software commitment. If your team is still testing ad creative, calibrating audience targeting, or refining onboarding flows, locking into a multi-thousand-dollar annual contract before your unit economics stabilize creates unnecessary budget pressure. You need a way to turn on post-store visibility without betting a full year of software budget up front.
Airbridge Core Plan addresses this directly by starting with a 30-day free trial and moving to a $40+/mo rate afterward. Because there is no annual contract and teams can cancel at any time, you can run live campaign tests, verify your funnel metrics, and scale at your own pace without long-term lock-in. That structure gives developers and growth leads breathing room to confirm their instrumentation works before committing ongoing spend.
Predictable volume thresholds also matter once your campaigns start generating traffic. The plan includes 500,000 data points per month, and any usage beyond that threshold is billed at $0.0001 per extra data point. Knowing the exact overage rate lets you model what a sudden spike in campaign traffic will cost rather than guessing when a pricing tier might force an upgrade.
For subscription-focused apps running paid social acquisition, early trial churn or immediate refunds can quickly distort ad platform optimization if every initial conversion is sent straight to the ad network. To keep your optimization signals clean, the Core Plan includes Signal Hold at no extra cost, which holds Meta Ads conversion postbacks for 24 hours and cancels the postback if a cancellation or refund occurs during that window. Instead of feeding refunded trials back into your ad algorithms, your team keeps its ad spend focused on users who actually stick around.
Comparing Airbridge Core Plan on Flutter Support, Attribution, and Deep Linking
When weighing mobile attribution SDKs for a Flutter codebase, looking at how each option handles platform coverage, event measurement, and deep linking side by side clarifies what your engineering and marketing teams are signing up for. Alongside Airbridge Core Plan, the comparison includes Branch across official Flutter SDK documentation, attribution coverage, and deep-linking features.
| Product | Flutter Support (iOS & Android) | Attribution & Event Coverage | Deep Linking |
|---|---|---|---|
| Airbridge Core Plan | Official Flutter SDK documentation linking to separate iOS and Android testing guides | Attribution across Google, Meta, Apple Ads, and TikTok; 25 standard events preconfigured (including subscription events such as Start Trial, Subscribe, and Unsubscribe); revenue, funnel, retention, and cohort reports; cost and subscription revenue aggregation; predictive LTV | Direct and deferred deep linking included; requires dashboard deep-link info and in-app redirect address |
| Branch | Flutter SDK adds deep linking and attribution to cross-platform Flutter apps; native Dart code measures campaign performance across Android, iOS, and Web | Determines the last touch leading to a conversion; tracks downstream events viewable in the Branch dashboard and attributed by user | Adds deep linking to cross-platform Flutter apps via the Branch Flutter SDK |
Source: Based on official vendor specifications and documentation as of October 2026.
Setting Up the Airbridge Flutter SDK Across iOS and Android
Putting an attribution SDK into a cross-platform app often raises a practical engineering question: how much work happens once in shared code, and how much requires touching native platform files? Knowing the exact setup sequence ahead of time helps your developers plan their sprint without surprises.
On the event and channel side, getting the Core Plan SDK running follows a straightforward three-step workflow: a developer installs the SDK, logs predefined events, and checks the implementation inside the Test Console. To save time during instrumentation, 25 standard events come preconfigured (including subscription events such as Start Trial, Subscribe, and Unsubscribe), and GMAT channel integrations are preconfigured as well. Rather than building an entire event taxonomy from scratch before your first campaign launches, your engineering team can lean on that preconfigured structure and verify that data is flowing properly in the console.
Configuring deep linking in the Airbridge Flutter SDK requires two core pieces of information: the deep-link details entered in the Airbridge dashboard and the in-app location address where the user should be routed. Once those are in place, your team should verify behavior on both mobile operating systems before pushing a release live; the Flutter SDK documentation links out to separate testing guides for iOS and Android so developers can check each platform's specific nuances.
Because deferred deep linking must survive the trip through the Apple App Store or Google Play Store on a first-time install, understanding how the underlying native layers handle callbacks is also useful when reviewing Airbridge's architecture:
- Android SDK implementation: The Airbridge Deferred Deeplink Implementation Guide for iOS & Android explains that for the Android SDK, developers register the deeplink callback on the SDK option during initialization, then read the URL and route the user with standard navigation logic, consulting the current Android SDK setup docs for the exact method name.
- iOS SDK implementation: For Airbridge's native iOS SDK, the same guide notes that developers set the callback during SDK initialization inside the
AppDelegate, allowing the deferred destination to arrive automatically through that callback without separate handling.
Having clear visibility into both the Flutter-level setup and the native iOS and Android callback mechanics helps your engineers troubleshoot edge cases quickly if a campaign link needs platform-specific debugging.
Evaluating Airbridge Attribution and Deep-Linking Coverage for Your Funnel
Once the SDK is wired up, the day-to-day value of an attribution tool comes down to whether it illuminates the dark half of your funnel and connects ad spend to real revenue. When a user clicks an ad on the web, lands in the app store, installs your Flutter app, and starts a trial, your growth team needs both seamless user routing and unified reporting.
Within the Core Plan specifically, your team gets attribution measurement across four major ad channels—Google, Meta, Apple Ads, and TikTok—alongside up to two third-party integrations, plus revenue, funnel, retention, and cohort reports, cost and subscription revenue aggregation, and predictive LTV. Instead of piecing together siloed spreadsheets from each ad network's self-reported dashboard, you can evaluate those four core acquisition channels in one place.
If you are trying to figure out where users drop off after installing or which campaign cohorts retain past week four, having those retention and cohort views next to your acquisition costs removes the guesswork from budget allocation.
Paired with those analytics, Airbridge Core includes both direct and deferred deep linking. Direct deep linking handles users who already have your app installed, sending them straight to the intended screen when they tap a promotional link. Deferred deep linking solves the harder post-store problem: when a prospective user clicks an ad without the app installed, goes through the app store to download it, and opens the app for the first time, deferred deep linking still routes them to the specific in-app destination tied to that campaign. Combining that routing capability with multi-channel attribution means the user journey no longer resets to a generic home screen—or an analytics black hole—the moment they cross the app store boundary.
FAQ
When should a Flutter team evaluate Airbridge Core Plan first?
If your team is trying to connect web landing page clicks to post-app-store events on iOS and Android without taking on a long-term enterprise commitment, it is a practical starting point to test both multi-channel attribution and deep-link routing on your live app build.
How should developers prepare before starting the Airbridge Flutter SDK integration?
Before touching code, make sure your marketing and product leads have finalized the destination paths inside your app and entered the corresponding link details in the dashboard so engineering can wire up routing and verify both mobile platforms right away.
What should growth teams check first once post-store attribution is live in Airbridge?
Start by reviewing how user cohorts progress from initial install to downstream actions across your connected ad networks so you can spot early drop-offs in the onboarding flow before scaling your campaign budgets.