Geofencing: location-based mobile advertising

Geofencing

What does this service include?

We show mobile ads to people who are or have been in defined zones such as stores, events or competitors, with targeting and visit measurement.

Geofencing means drawing a virtual perimeter around a place (a store, an event, a mall, a competitor’s location) and showing ads to mobile devices that enter it or were there recently.

We use it to drive store visits, reinforce outdoor campaigns, support events or reach people who have visited a competitor. We define perimeters, audiences and creative, and measure impressions, clicks and, where the platform allows, later visits. Always within each platform’s privacy policies.

What you get

  • Location and perimeter definition
  • Audience targeting
  • Mobile creative
  • Ad platform setup
  • In-flight optimization
  • Impressions, clicks and visits report
Geofencing by Boom Growth Partner

1. Context that adds relevance

A message that arrives when the person is near your store or an event makes more sense to them.

2. A bridge between street and digital

It connects billboards, activations or events with mobile ads and digital measurement.

3. Visit measurement

Depending on the platform, store visits after exposure can be estimated.

Before you request a proposal

Frequently asked questions about Geofencing

Direct answers to evaluate scope, timing, investment and measurement before requesting a Geofencing proposal.

How does geofencing work?

A zone is defined on the map and ad platforms show messages to devices that enter it or were there, using location data users have authorized.

Is it legal and privacy-safe?

It works with aggregated, consented location data through ad platforms, without identifying individual people.

Can we target a competitor’s store?

Generally, yes, platforms allow it. We recommend respectful messages focused on your value proposition.

How large should the perimeter be?

It depends on the place and foot traffic. Very small perimeters give little reach; very large ones lose precision. We adjust with the first data.



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