Skip to main content

Posts

Showing posts with the label location based ads

What is hyper local marketing or precise location based marketing?

To convert online to offline is a big challenge for brands. Especially for the ones that want to drive consumers to the store. To solve this some ad tech providers as YOOSE  have developed a fantastic technology allowing to show banners to a specific audience and in specific geographical zones.  Imagine you want to sell bike accessories and have visitors going to your bike shop. With hyper local marketing you can show a banner about your bike accessories to people we know are bikers thanks to the integration of 3rd party data bases and decide to show the banner only if they at 500 meters radius for example of our bike shop.   From there when the consumer clicks on the banner he will see a map appearing showing him the shortest road and time to arrive to the shop. Once arriving in the defined zone he will get a second ad exposure that will allow providing the owner of the shops with the number of people who saw the ads and went in the direction of the shop. This is called the measur

How to use the weather as mobile sales trigger?

Depending on where you are located you may have been through snow, rain, wind or sunny days lately.  Did you know that the weather changes can be a fantastic sales trigger ? Let's see how to turn the weather into sales! First, you need to select an ad tech provider able to display location based ads on different ad networks and make the banners change based on the weather forecast.  Then you need to prepare different type of banners (one to display while raining, another for sunny days, one for day, night, etc. ) in order to be able to show the correct marketing message according  to the viewers’ local weather. It's possible to show winter tires  ads only when it’s snowing, raincoats when it’s raining or windbreakers when it’s windy. McDonald's, for instance, could show ads for ice creams in cities with sunny weather and ads for coffee in locations with cloudy weather and low temperatures. The weather is the 2nd biggest influence on consumer behavior behind the state of t