To do this, we target customers who have visited competitors' stores or offices. This strategy is effective because the ad will be seen by people who are already interested in buying. All you have to do is convince potential customers that your offer is more suitable for them.
We select an audience with the necessary behavioral and social characteristics.
Let's say we need to highlight those who travel a lot, then we select places near train stations and airports and the frequency of their presence. You can also find the premium segment by identifying regular visitors to a golf club. This will allow us to show relevant ads to the audience in the future (ads about travel or expensive goods).
We promote goods/services from other cities.
It is worth noting that geotargeting does not always imply determining a person's location. Sometimes user preferences can be read from their search queries, when they add the name of the city/district or from the data of profiles on social networks. Let's say a person is planning a move or a business trip, he looks at renting a house or a car in another conduit cn mobile number database city in advance. In this case, extended geotargeting is ideal. It allows you to display ads for queries with the name of the display region, even if the user is in another city. But you should use this tool with caution: it is important to know and constantly analyze your audience in order to avoid mistakes and not waste your budget.
Examples in practice
Case 1. How to increase the number of applications by 40% using a combination of online and offline.
We worked with an offline store of premium meat products located in the center of Moscow.
Using Yandex advertising, we needed to:
increase the number of purchases from users living in the store area;
increase "local" brand awareness.
We decided to measure the effectiveness of any of our placements through personalized loyalty cards with a 25% discount, focusing on 2 metrics:
application for a card;
receiving it in the store.
At first, we followed the standard scheme: contextual advertising for general and narrow queries and additionally added Yandex geopolygons. The KPI for requests was met, but users were in no hurry to get a map: only a quarter of buyers came to the store.
Then we decided to act by installing a Wi-Fi radar at the store doors and recorded pedestrians passing by at a distance of 1 meter. This zone was enough for us, since the roadway ran further. Having collected the necessary segment, we launched YAN on it.