Did you know that you can target users with very high precision based on where they currently live or where they have visited during the last three days? This article tells you how you can do that.
Depending on the country you target, it is possible to narrow your targeting to the region, city or even zip code level. If you wish to be even more precise, it is also possible to define a street address and a radius around that to define where you want to target.
Pasting list of multiple values
You can paste into the fields a list of multiple values separated either by line breaks or semi-colons.
Example: List separated by line breaks
Rio de Janeiro
Santiago de Chile
Example: List separated by semi-colons
Buenos Aires;Rio de Janeiro;Cusco;Santiago de Chile
Smartly.io will then automatically populate all list items with the first targeting option matching the list item.
Region, city and zip code targeting
Using these targeting methods is simple: Just start typing your preferred targeting location into the field, and a list of matching alternatives will pop up. City targeting is always visible on the wizard, and all others can be found below Advanced location options. Zip code targeting is currently supported in at least these countries, but the list may change at any time: AT, AU, BE, CA, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, HU, IT, LT, LV, MA, MT, NL, NO, NZ, PL, PT, RU, SK, SM, TH, TR, US.
Please check the most recent list from Facebook documentation.
The maximum limits that can be used in one targeting are 25 countries, 200 regions, 250 cities or 50,000 zip codes.
If you want to use multiple zip codes efficiently, you can just copy-paste a list of codes to the box. They first need to have two letter country code and then the zip code so that each is on separate row. Example:
You can also target cities in a country based on the population of the city. You can, for example, add a population filter which targets cities in the United States with a population between 250,000 and 1 million. This is useful for e.g. taxi service or food delivery companies that want to target cities with a large enough potential customer base.
You can exclude multiple types of location selectors through the advanced location options
The currently supported exclusion options are the following:
- Global Regions
- Zip codes
- DMA (Designated Market Areas, US only)
Address and coordinate targeting
To target users within a certain radius from one or multiple addresses or coordinates, use the User location field. Type in the street address including the city or, alternatively, coordinates in the format. Finally, click Add. You can then fine-tune the radius for the location by clicking on the small arrow on the row.
You have different limitations in what values you can use depending on if it is city, radius etc.
- Address & Coordinates: 1 to 80 km / 0.63 to 50 miles
- Cities: 17 to 80 km / 10 to 50 miles
To add multiple addresses or coordinates in one go click on the "Add or edit locations in bulk" button. In the bulk editor, you have to specify one location per row. The locations have to be in a specific format to be valid. An address must contain the address and a radius including the distance unit. Coordinates must include latitude, longitude, and radius including the unit. Available units are km for kilometers and mi for miles. Please use dots to separate decimals. Values are separated by a semicolon (;). Here's a small example:
24;60;5km Elielinaukio 2, Helsinki;5mi -1.432;14.01;4km
The addresses and coordinates will appear in the list, and you can check whether the address is valid from the right-hand side reach estimate. Invalid addresses will result in an error.
Note that this feature does not offer auto-complete at this time, so you need to type in the full address to get results.
Below these targeting options, you can select what kind of people you want to include in your audience. It is possible to target people who live in the area, people who have been in the area during the last three days or people who are traveling in the area. Recently visiting people and traveling people are defined based on information from their mobile devices and possibly other factors.
More on Location targeting.