ContextSDK

Boosts app conversions by delivering personalized experiences based on real-time user context, ensuring higher user satisfaction and revenue while protecting user privacy.
User Behavior Analysis Personalization Mobile App Optimization

ContextSDK uses real-world user context to boost app conversions. Knowing exactly what a user needs at a given time leads to higher user satisfaction and revenue, while ensuring that the experience is privacy compliant. The platform uses more than 180 mobile signals to determine what a user is doing, such as taking public transportation, walking, sitting or even sleeping, and then delivers highly personalized experiences.

ContextSDK is built to protect user privacy, with no collection of Personal Identifiable Information (PII). The platform processes user data on the device, reducing the need for cloud-based data transfer and the privacy risks that come with it. This means that user behavior insights can be gathered without sacrificing user privacy.

Some of the key features of ContextSDK include:

  • Context Insights: Offers a more detailed understanding of user behavior by analyzing real-world context, allowing for more nuanced user segmentation based on interaction context.
  • Context Decision: Boosts conversion rates by determining the best moments to engage users, leading to higher user satisfaction and revenue.
  • Simple Integration: One line of code to integrate with an app, making it easy for developers to tap into user insights.
  • Custom Model Calibration: Calibrates the model for each app and user base, continually refining conversion strategies over time.
  • Over-the-Air Updates: No App Store update cycles required, ensuring continuous performance improvements.

ContextSDK can be used in a variety of industries, including gaming, entertainment, social media, health and dating. The platform offers insights and tools for teams from development to marketing to inform strategic decisions and optimize user experience and revenue. The platform integrates with popular platforms like RevenueCat and Braze, ensuring compatibility with a wide range of ecosystems.

Pricing isn't disclosed, but ContextSDK says its machine learning approach offers "unparalleled performance improvements and user engagement" for apps with at least 20,000 monthly active users. You can start tapping into the data to optimize your app without any marketing fluff or hyperbole.

Published on July 4, 2024

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