Blog Article
October 16, 2024
For mobile app marketers, navigating Apple's evolving measurement framework can feel like a moving target.
SKAdNetwork (SKAN), the company’s privacy-centric API for campaign analytics, has undergone several updates, with SKAN 4.0 bringing more granular lifetime value (LTV) measurement and web-to-app attribution. But with Apple's recent announcement of AdAttributionKit (AAK) — expected to build on SKAN’s foundation, with cross-store insights and targeted re-engagement — the landscape is set to evolve further.
While the full impact of AAK remains to be seen, SKAN continues to play a critical role in driving accurate measurement and optimization for mobile app marketers. As we prepare for more changes to come, let’s revisit the fundamentals of SKAN to ensure a solid foundation for the next phase of iOS attribution.
Since the introduction of SKAN in 2021, Apple has released several versions with new features and improvements:
There are a few foundational privacy mechanisms that make SKAN work:
SKAN offers a distinct but complementary attribution framework to those offered by mobile measurement partners (MMPs). While SKAN's attribution window is determined by ad type — with StoreKit Rendered Ads receiving a generous 30-day lookback and a 24-hour lookback for non-StoreKit Rendered ads — probabilistic attributions by MMPs typically offer a 7-day window for click-through and 24-hour for view-through attributions.
Remember: SKAN and MMPs aren’t mutually exclusive. In fact, a single app install can be simultaneously attributed by both SKAN and an MMP, providing a more comprehensive view of campaign performance.
While privacy frameworks like SKAN (and the coming AAK) can be complex to navigate, following certain guidelines will improve your campaign performance. These best practices are designed to ensure you’re optimizing for iOS’ unique mobile ad attribution and adapting to its evolving features.
SKAN's privacy threshold, or “crowd anonymity,” mechanism can significantly impact small campaigns. This protocol will send “NULL” conversion values until app install postbacks surpass a given threshold. To mitigate this:
By consolidating campaigns, you increase the likelihood of receiving valuable conversion data, enabling better optimization and return on ad spend.
Built-in postback delays can complicate budget management, especially with SKAN 4.0.
When adjusting spend, consider making smaller, incremental changes rather than large shifts. This measured approach will help you better assess the impact of each change.
To maximize ad performance, mobile marketers should gather as much data as possible. Ads partners like Moloco use machine learning (ML) models to predict user conversion, and both attributed and unattributed data are vital training samples, leading to more effective campaigns and better user experiences.
Providing comprehensive data for ML models can help:
Storekit is the simple and secure framework for in-app purchases of digital goods or services across all Apple platforms. StoreKit-rendered ads are an extension of Apple’s App Store; these creative elements offer improved UX by allowing users to seamlessly download a promoted app without leaving the current in-app experience.
StoreKit-rendered ads offer significant benefits within the SKAN framework:
StoreKit ads are an important piece of any SKAN marketing strategy. Use these compatible ad formats in your campaigns to maximize your opportunity for rich-media ad rendering and longer lookback windows.
Not all SKAN traffic is created equal. To optimize your campaigns:
By concentrating your mobile ad budgets on the most effective iOS traffic, you're positioning each campaign to drive a higher number of installs and potentially lower acquisition costs.
With the new hierarchical structure in SKAN 4.0, revisit your conversion value mapping to ensure you're capturing the most valuable user actions. SKAN 4.0 allows for up to three postbacks, including new features such as:
By adopting SKAN 4.0's enhanced features, you can gain more granular insights into user behavior over extended periods, improving the accuracy of your lifetime acquisition models.
Increasing the number of users who opt-in to App Tracking Transparency (ATT) can significantly enhance your targeting capabilities.
Remember, data from opted-in users serves as vital user-level training data for more accurate ad targeting, complimenting your SKAN efforts.
As Apple continues to refine its privacy-preserving attribution methods, staying updated on these changes is crucial for marketers. With Apple's Attribution Kit (AAK) on the horizon — building on SKAN’s privacy-first framework — the fundamentals of SKAN remain essential for driving success on iOS, and we will continue to update these best practices as we observe AAK adoption and other future developments.
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