Development of a Geofencing and Contextual Survey System for Location-Based Consumer Feedback

The client faced difficulties obtaining timely and reliable consumer feedback within natural shopping contexts. Existing survey methods suffered from information decay, and there was a need for a system capable of triggering surveys precisely when consumers are in relevant physical locations, such as entering, exiting, or lingering within specific retail areas, to enhance data accuracy and response rates.

A mid-sized marketing firm focusing on real-time consumer engagement and data collection through location-based interactions.

• Create a system that enables precise geotargeting to identify consumer presence within specified locations.
• Implement push notification capabilities to invite consumers to participate in short online surveys at optimal moments.
• Design flexible geofencing features to allow creation of arbitrarily shaped data collection zones on an interactive map.
• Integrate with external mapping and location services such as Foursquare and Google Maps for accurate geospatial data handling.
• Support full iBeacon compatibility for near-field communication in physical retail environments.
• Ensure seamless operation across mobile platforms (iOS and Android) with scalable backend infrastructure.

• Precise geotargeting with support for complex, custom-shaped geofences
• Real-time trigger system to activate notifications based on consumer entry, exit, or dwell time within geofences
• Push notification system enabling instant survey invitations on consumer mobile devices
• Seamless integration with third-party location services such as mapping and social check-in platforms
• Full support for iBeacon technology for proximity detection
• An intuitive interface for creating, managing, and visualizing geofences on an interactive map
• Cross-platform mobile application support (iOS and Android)

• Foursquare API for social check-ins and location data
• Google Maps API for geospatial visualization and geofence creation
• Push Notification Services for real-time alerts
• iBeacon hardware and protocol support for proximity sensing

• System should handle geofence creation and real-time notifications for a user base of at least 50,000 active users
• Push notification delivery latency should be under 2 seconds
• Geofence accuracy should be within 10 meters to ensure relevant triggering
• System must adhere to data privacy standards and secure user location data
• Platform should support scalable architecture to accommodate future feature expansion

The implementation of this geofencing and push notification system is projected to significantly improve survey response rates and data accuracy by engaging consumers precisely when they are in relevant shopping environments. This targeted approach aims to boost consumer engagement metrics by up to 30%, reduce information decay in feedback collection, and enhance the quality and timeliness of market research insights.