Geofencing Marketing: Complete Guide to Location-Based Targeting

Added:

Geofencing Basics
Business Use Cases
Technical Approaches
Pulsate Requirements
Location Tech
Deployment Best Practices
Campaign Strategy
Privacy and Opt-in

Geofencing Basics

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Playing Section
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    Defines geofencing as virtual perimeters for targeting customers by location.

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    Explains macro versus micro location use cases like stores versus products.

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    Highlights triggers for messages on entry, dwell, or exit from a fence.

Basic principles of mobile marketing, including push notifications, SMS marketing, and in-app advertising.
Fundamentals of GPS and location-tracking technologies, such as cellular triangulation, Wi-Fi positioning, and IP geolocation.
Core marketing concepts of audience segmentation, behavioral targeting, and buyer personas.
Understanding of user privacy regulations and consent frameworks, specifically GDPR, CCPA, and mobile operating system permission models.
Proximity marketing technologies, specifically Bluetooth Low Energy (BLE) beacons and Near Field Communication (NFC).
Location-based attribution modeling to measure physical store visits (foot-traffic lift) driven by digital campaigns.
Programmatic advertising and integration of location data into Demand-Side Platforms (DSPs) for real-time bidding.
Advanced spatial data analysis and Geographic Information Systems (GIS) for strategic market expansion and competitor conquesting.
79.1K views598likes18:06@pulsatehqOriginal Release: 2015-07-31

Geofencing is a virtual perimeter technology that allows businesses to target customers at physical locations by triggering messages, campaigns, or actions when users enter, exit, or dwell within defined geographic boundaries; it operates through a combination of GPS, cellular data, and Wi-Fi signals, with passive geofencing being preferred over active GPS-based methods due to lower battery consumption and better background functionality, and successful implementation requires proper fence sizing (typically 100 meters in urban areas), avoiding overlaps, segmenting audiences based on customer data, and obtaining explicit opt-in consent from users for location tracking and push notifications.