Essential knowledge and documentation at your fingertips
Find everything you need to maximize your app’s potential. Our resource hub offers detailed blogs and user-friendly documentation for seamless integration and optimization.
Your best tools in one place
ContextSDK seamlessly integrates with top platforms, empowering you to level up your app experience and drive growth without losing any data.
braze
Enhance your A/B testing by incorporating real-world context for more accurate and impactful results. With ContextSDK integrated into the Braze customer engagement platform, you can pinpoint the perfect moment for data activation.
RevenueCat
Detect ideal moments for paywalls, boost sales, and enhance user satisfaction by incorporating ContextSDK into your RevenueCat in-app purchases and subscriptions.
It’s not rocket science. But reading the docs might still help.
How to automatically manage, monitor & rollout new machine learning models across your iOS app user base
This is the third post of our machine learning (ML) for iOS apps series. Be sure to read [part 1] and [part 2] first. So far we’ve received incredible positive feedback. We always read about the latest advancements in the space of Machine Learning and Artificial Intelligence, but at the same time, we mostly use external APIs that abstract out the ML aspect, without us knowing what’s happening under the hood. This blog post series helps us fully understand the basic concepts of how a model comes to be, how it’s maintained and improved, and how to leverage it in real-life applications.
How to train your first machine learning model and run it inside your iOS app via CoreML
