Context-aware solutions for
superior user engagement
ContextSDK empowers apps with on-device intelligence and real-world context signals to deliver impactful, context-aware experiences.
SOLUTION
How does ContextSDK work?
ContextSDK processes over 200 smartphone signals - such as motion data, time of day and battery level - using advanced Edge AI directly on the device.
This secure, privacy-first approach enables precise interpretation of user activity and intent in real-world scenarios.
BENEFITS
Why ContextSDK?
Understand real-world context:
ContextSDK helps apps detect user activity and intent through sophisticated on-device machine learning.
Privacy-first design:
No data leaves the device, and no PII is ever collected.
Effortless integration:
Works with your existing tools to optimize user engagement and boost performance without extra hassle.
USE CASES
Form better user habits
Pain Point: Struggling to help users build habits with your app?
Solution: Our context-driven tech pinpoints when users are naturally open to forming new habits. By analyzing real-world data, we deliver timely nudges aligned with their routines, increasing engagement at the moments users are most receptive.
Example: Engage fitness users when they’re stationary, or encourage language learners during quieter times, boosting habit formation and engagement.
Learn more about building habits
Maximize conversions with smart, context-aware offers
Pain Point: Struggling to boost your subscriber base despite high app engagement?
Solution: Our context-aware technology identifies the precise moments when users are most receptive, delivering subscription offers when they’re ready to engage with premium features.
Example: For a streaming app, engage nighttime users to upgrade for uninterrupted viewing when they’re winding down, or target commuters with a news app trial while they’re actively consuming content on the go.
Increase your subscriber conversions
Engage users with the right notification timing
Pain Point: Avoid user fatigue by sending notifications only at the right moments.
Solution: ContextPush technology times your notifications to avoid interrupting users and enhances open rates by sending messages when they’re most likely to engage.
Example: Dating apps can maximize engagement by sending notifications when users are more likely to interact. For instance, if a user has sufficient battery and is lying in bed, it’s an ideal time to prompt them to check their latest matches.
Explore notification timing optimization
Drive revenue through ads and paywalls
Pain Point: Maximize in-app revenue with ads and paywalls that feel timely.
Solution: ContextSDK analyzes real-world signals to identify when users are in the best state to engage with ads or explore premium features, ensuring your monetization efforts align with their needs.
Example: Social Media and Entertainment apps can show ads during passive moments, like commuting, or trigger paywalls when users are deeply engaged.
Maximize your in-app revenue
Optimize dynamic user experiences
Pain Point: Struggling to tailor app experiences for diverse user scenarios?
Solution: ContextSDK dynamically adapts your app experience based on real-world user context. Whether it’s onboarding, sign-up, or upsells, we ensure users get the right flow at the right time.
Example: Provide quick onboarding for commuters or detailed instructions for users at home. Show concise subscription offers for busy users or in-depth benefits for those exploring your app in a relaxed setting.
Dynamic Product Experience
INDUSTRIES
Industries we serve
These industries represent just a selection of the diverse sectors we support. ContextSDK’s flexible solutions can be tailored to meet the engagement needs of a wide range of apps, from finance to productivity, and beyond.
Gaming
Increase in-app purchases and player engagement with precise timing for ads and upgrades.
Health & Fitness:
Encourage habit formation with prompts aligned to users’ daily routines and downtime.
Entertainment
Encourage habit formation with prompts aligned to users’ daily routines and downtime.
Social Media
Encourage habit formation with prompts aligned to users’ daily routines and downtime.
Dating
Encourage habit formation with prompts aligned to users’ daily routines and downtime.
TEAMS
Teams we empower
FAQ
We’re here to answer all your questions
What makes ContextSDK different from other engagement tools?
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.
How does ContextSDK ensure user privacy?
ContextSDK takes privacy seriously and is built with a privacy-first approach:
- 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.
How long does it take to integrate ContextSDK into my app?
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.
Do I need to make changes to my app design for ContextSDK to work?
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.
How much historical data do I need to get started?
To get started, ContextSDK requires the following:
- 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
Can ContextSDK integrate with my existing tech stack?
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.
What specific user signals does ContextSDK analyze?
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.