Mobile location enrichment
Records location data in mobile apps which can be used to enrich user profiles in Segment
Supports geofences to track information about when a user enters or exits a specific area and trigger marketing campaigns based on that information, like when they pass by your store
Calibrates key locations so you can determine when a user is at home, at work, or traveling
Integrates with Facebook Places to pull in information about the places a user visits
How Radar Works
Radar is a cloud-based event Source. To use Radar, you’ll first need to add its mobile SDKs to your iOS or Android apps. The Radar SDKs collect raw location data and transforms it into contextual events. You can track when a user enters/exits a geofence, home, office, chain or category. Hooking into the stream of valuable events Radar collects and pushing that data to other tools like analytics, marketing automation, and your data warehouse will require research and custom coding. A software engineer will need to understand Radar’s API and webhooks and how Radar event data can be tied to other downstream APIs. The API makes Radar’s event and location data available to external tools and webhooks allow you to hook into that data as it occurs. The data from those webhooks will need to be collected, re-formatted, and sent to each tool where you want the data in real-time as the event stream happens.
Getting more out of Radar with Segment
By connecting Radar as a Source you’ll be able to seamlessly connect Radar location data with analytics, marketing automation and data warehouse platforms without any additional coding. You will simply need to enable the Radar Source in the Segment platform and choose the Destinations you would like to send Radar event data to. Once the Radar Source is enabled, any Segment Destination that can accept server-to-server data can accept Radar data. Depending on which features of Radar you’re using, events like Geofence Entered/Exited, Home Entered/Exited, Traveling Started/Stopped, and more are recorded automatically.
Enriching customer profiles with location data enables you better understand where and why customers are making purchases. For example, analyze usage based on where users go throughout the day. You can use location data with attribution tools to determine how ads and email campaigns impact in-store conversions. You can also setup automated campaigns to message a specific cohort when they enter or exit a geofence or specific store.