Detect. Predict. Connect. Reward.
Context360 has developed Senselytics™, the first Autonomous Personalization solution for mobile marketers. It seamlessly integrates insights into mobile services used with contextual information derived from smartphone sensors. This provides brand marketers with direct access to unmatched insights into user interests, status, motion patterns and trends.
Our platform delivers 4-dimensional insights into the Connected Consumer Journey and provides automated engagement tools that enable “always on” campaigns managed by IFTTT rules.
- Detects user interests and patterns related to contextual behavior in a PII-compliant manner and with informed consent.
- Defines users into actionable, granular Personas and Segments and helps anticipate and predict evolving user interests.
- Delivers automated offers and messaging based on “best time” and other rules aligned with actual user behaviors and interests.
- Rewards marketers and end users alike with automated, personalized, 1:1 engagement opportunities delivered when the end user is most receptive.
Context360 complements in-app analytics to help app-based marketers know what users do outside their apps, including the App Journey (where they came from and where they went). For bricks and mortar merchants it provides the ability to track end user motion patterns relative to key locations – such as grocery store, bank branch or competitor’s store – and to trigger local notifications.
Our brilliantly engineered SDK minimizes battery consumption by a whopping 400% compared to native and third party activity monitoring services.
Tuned for Privacy
Our core principles of user data collection are tightly bound with the privacy controls of the SDK. Apart from providing encryption on-device and over the wire, the SDK supports opt-ins at every granularity.
Location monitoring, data transfers, sensor data processing and other sub-components are engineered to reduce battery impact while ensuring highest accuracy.
Critical business decisions require spotting consumer trends early on.
We provide unique insights into the user’s daily activities such as ambience, motion patterns, location patterns, nearby device patterns, overall phone usage patterns as well as many other software signals. You can consolidate this behaviour data with your existing in-app analytics data to reveal insights never seen before. When you know your users well enough, you can promote the services they need most – at the precise moment when they will be most receptive.
Multi-sensor Activity Recognition
Equipped with a dozen or more sensors, smartphones generate data that our SDK fuses to infer activities and contexts that were never possible to observe before. This might be mall walking, commuting via bus or train, actively shopping for cars, etc.
Most contextual engines are glorified location monitoring services – which means they miss out on a rich set of user activity data not associated with location changes like fitness modes, busy/leisure time windows or phone activity based interests. Context360 takes you beyond location motion, phone and peripheral activity. The result is 360 degrees of context capture and unmatched predictive insights.
Transient Interest Capture
The interests of users change over time and it’s critically important to recognize these changes and link the transitions with meaningful correlations. Our server-side machine learning algorithms process important markers of user activity over time to understand changing activities, interests, and status to provide new insights into the Consumer Decision Journey.
Segmenting users with Context360 dashboard is simple and easy with prebuilt buckets for the most popular categories, and tools for further fine-grained segmentation.
Standard user profiles aren’t sufficient for advanced marketing needs – we provide a way to define custom profiles with your own parameters. The result is freedom from fixed profiles and the ability to detect emerging or evolving interests and personas.
Context and Behavior Driven Engagement
In an anticipatory world, users expect smarter engagement from their apps. Our contextual engagement makes that happen. It provides the most advanced IFTTT service based on a real-time understanding of mobile users. This leverages user context and past behavior to identify a window of opportunity for apps to re-engage with their users.
User data analytics, combined with trends on how well each user segment is engaging with the business over time is the key to success. Our technology provides unique insights into user engagement.
Daily contexts provided by users are as unique as their fingerprints – so it only makes sense to have the SDK adapt to their uniqueness. Notification limits, best-time engagement, work/leisure window recognition and activity friendly notifications are all calculated at the user/device level to make the experience as natural as possible.
Quick answers for simple data queries
We have a simple bot interface that answers statistical data queries – designed for those way above the pay grade to run SQL – Cats of course 😉
SQL Query Tool and Spark Job access
To facilitate data science teams working on combined datasets from different channels, we provide SQL compliant query tool, as well as Spark job access to submit custom analytics operations on the Context360 database.
Taking advantage of the latest advances of smartphone operating systems, the Context360 SDK is written to be event driven rather than polling based, making most efficient use of resources.
On-Device Rule Engine
Achieving real-time engagement means less communication with the server and more native responsiveness – precisely what our On-Device Rule engine is designed to do. It’s simply the most efficient and fast rule engine for smartphone engagement available.
The Context360 SDK comes with embedded capabilities that enable marketers to switch features on/off and tweak various feature controls right from the dashboard. Both can be achieved without the need to deploy a new build every time, or wait for engineering resources to take care of it.