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Our sdk is developed hand in hand with app developers and drawing from our experience developing Apps for more than 8 years.
The sdk is fully modern, compliant with the latest iOS developments and works with the newest Swift SDK. It is lightweight so it does not impact your app's performance.Imagine an SDK that integrates in minutes, delivering powerful metrics without hassle.
Our documentation is designed for a smooth onboarding experience, with built-in feedback options if you need clarification. We want you to focus on building features, not wrestling with SDK integrations.
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On iOS our SKAdNetwork integration simplifies iOS campaign attribution while ensuring compliance with Apple's privacy standards. With FalconMetrics, you can capture and process SKAN postbacks to accurately attribute installs without user-level data. You can also use aggregated data with conversion values to assess user quality and optimize ad spend for maximum ROAS. Plus, our support for SKAN 4.0 and beyond, including AdAttributionKit, keeps your campaigns compatible with the latest attribution frameworks for future-proof management.




Yes. Our SDK is written in Swift and is compatible with Objective-C apps.
Our SDK is available on CocoaPods and via Swift Package Manager. You can integrate it into your app like any other SDK. See our docs for more details.
What is the minimum SDK version required?
No. You only provide your API key to the SDK and define the events you want to track.
SKAdNetwork (SKAN) is Apple's privacy-preserving attribution framework that allows advertisers to measure the success of their ad campaigns while maintaining user privacy. It provides campaign-level data without exposing user-level information..
SKAdNetwork is Apple's privacy-focused attribution framework, designed to comply with iOS privacy policies, making it the only reliable method for attributing ad campaigns on iOS without user-level data. Unlike other attribution methods that may rely on identifiers like IDFA, SKAN ensures compliance with Apple's strict privacy standards while still providing valuable aggregated insights.