ContextSDK Guide

Unlike traditional tools that rely on rigid rules or time-based triggers, ContextSDK uses machine learning and real-world signals (like activity or device usage) to adapt dynamically to user behavior. This ensures your prompts are sent at the optimal moment, maximizing engagement and reducing user fatigue.

ContextSDK takes privacy seriously and is built with a privacy-first approach:
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• On-Device Processing: All data processing happens locally on the user’s device, ensuring that no Personally Identifiable Information (PII) is stored, transferred, or shared.
• Privacy Compliance: Our technology adheres to global privacy standards, including GDPR, CCPA, and other key regulations.
• SOC 2 Certification: ContextSDK is SOC 2 certified, which means our platform meets stringent security, availability, and confidentiality requirements. This certification demonstrates our commitment to maintaining the highest standards of data security and privacy.

Integration is simple and quick. ContextSDK is designed to work seamlessly with your existing push providers and analytics tools. Most apps can complete integration in just a few days, with minimal impact on codebase and resources.

Not at all. ContextSDK integrates seamlessly into your existing workflows, requiring just a few API calls to enable smarter, context-aware prompts. You’ll retain full control over your app’s design and user experience.

To get started, ContextSDK requires the following:
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• Insights for the Dashboard: A minimum of 10,000 logged events is needed for the dashboard to generate actionable insights. For larger apps, this can take a day, while smaller apps may need longer.
• Custom Model Training for Decision: At least 1,000 positive conversion events are required to train a tailored machine learning model for precise decision-making. We typically work with apps that have 100,000+ monthly active users to ensure faster model adaptation and impactful results

Yes! ContextSDK is designed to integrate seamlessly with your existing push notification providers, analytics tools, and backend systems. This ensures smooth implementation with minimal disruption to your current workflows.

ContextSDK processes over 200 real-world signals, all analyzed directly on the user’s device to maintain strict privacy standards. These signals include:

• Device usage: Screen time, app activity, and battery status.
• Activity level: Whether a user is stationary, walking, or engaging in active movement.
• Environmental context: Time of day, ambient light, and device orientation.
• Motion patterns: Signals from gyroscopes and accelerometers to detect movement trends.

These insights are used by our machine learning models to determine the most relevant timing for notifications, paywalls, or offers - maximizing engagement without user fatigue.

Yes! Since our AI models run entirely on-device, ContextSDK continues to function even when users are offline. No need to rely on cloud-based decision-making - everything happens in real-time on the user’s device.

Nope! Our on-device AI is optimized for efficiency. Since all processing happens locally, ContextSDK has minimal impact on battery life compared to cloud-based alternatives.

Yes! Poorly timed engagement often leads to user frustration and churn. By delivering messages at the right time, ContextSDK helps reduce spammy interactions and enhances user retention.

Yes! We recommend running an A/B test to compare ContextSDK’s impact on engagement and conversions against your current setup. Our flexible integration allows for easy experimentation before full rollout.

Our models continuously learn and improve based on real-world interactions, ensuring they stay optimized for engagement and conversions. Plus, ContextSDK supports over-the-air (OTA) updates, meaning improvements and new features roll out seamlessly - no manual app updates required.

Yes! ContextPush seamlessly integrates with all major push notification providers. You don’t need to switch platforms - just enhance your existing setup with smarter, context-aware delivery.

ContextPush optimizes only non-transactional messages, such as promotions, reminders, or engagement campaigns. These are timed perfectly based on your users’ real-world context. Transactional messages - like order confirmations or password resets - that need to be sent immediately are unaffected and will continue to be delivered in real-time.

ContextPush uses the accelerometer, gyroscope, and other on-device signals from your users’ smartphones to predict their current context - whether they’re walking, sitting, or commuting. Based on this data, we time your non-transactional notifications to be sent at the perfect moment, increasing engagement. All of this is done without processing any PII (Personally Identifiable Information).

ContextPush requires users to accept the standard push notification permission request in order to send notifications. Beyond that, no additional permissions are needed, as we work with data that is already available to your app.

ContextDecision is an AI-powered decision engine that helps apps determine the best moment to show in-app offers, paywalls, or engagement prompts. It analyzes over 200 real-world signals directly on a user’s device - such as motion patterns, device activity, and time of day - to ensure offers appear only when users are most receptive.

Traditional engagement tools rely on fixed schedules or simple behavioral rules, often leading to poorly timed prompts and user frustration. ContextDecision adapts in real-time, detecting when a user is actively engaged and ready to convert - leading to higher engagement and better retention.

ContextDecision ensures offers don’t interrupt users at the wrong time, such as when they are walking, commuting, or in a hurry. By increasing offer frequency only at the best moments, apps experience:

• Higher conversion rates  -  Users see offers when they are most likely to convert.
• Less user fatigue  -  Avoid overwhelming users with untimely prompts.
• Better retention  -  A smoother, more natural user experience.

No! ContextDecision starts working immediately but improves over time:

• Dashboard Insights  -  Needs at least 10,000 logged events for optimal analytics.
• AI Model Training  -  Needs 1,000 conversion events for custom model optimization.
• Better retention  -  A smoother, more natural user experience.

For best results, apps with 100,000+ monthly active users generate meaningful engagement patterns quickly.

ContextDecision is ideal for any app looking to improve engagement and monetization, including:

• Gaming  -  Showing in-app purchase prompts at the right time.
• Health & Fitness  -  Encouraging users to complete workouts.
• Education  -  Surfacing learning content when users are focused.
• Social & Dating Apps  -  Re-engaging users when they’re in the right mindset.
• Finance & Subscriptions  -  Nudging users at key decision points.
• Finance & Subscriptions  -  Nudging users at key decision points.

No. Your app’s design and user experience remain unchanged. ContextDecision works in the background, making engagement smarter while you retain full control over how offers appear.

Yes. We recommend running an A/B test to compare context-driven engagement with your current setup. Our team will help set up experiments to provide clear performance insights.

We provide controlled experiments to measure impact on conversions, retention, and revenue. A dedicated dashboard is in development to track results in real time.

Yes. ContextDecision is built with privacy in mind:

• On-device processing  -  No data leaves the user’s phone.
• No personal data collected  -  We only track engagement signals.
• Education  -  Surfacing learning content when users are focused.
• GDPR & CCPA compliant -  Fully aligned with global privacy standards.
• SOC 2 certified -  Meeting high security and privacy standards.

Apps using ContextDecision have seen conversion boosts of up to 81% with fewer prompts, leading to:

• Higher revenue per user (ARPU)
• Better lifetime value (LTV)
• Reduced churn from unnecessary engagement

We offer dedicated support throughout integration and beyond, including:

• Technical guidance for smooth implementation
• Strategy consulting to optimize engagement workflows
• Performance monitoring to fine-tune results