We can now target specific income tiers within location zones based on the location's estimated average household income. This is based on public data the IRS provides. Of course, because this data is provided by the Internal Revenue Service, this targeting method is currently only available for advertising within the United States.
To get started with household income level, we'll be working with the Location Advanced Targeting interface.
Select the +Add Location button:
Click on Advanced Search:
Click on Location Groups:
Click on Locations by Demographics:
When you select Locations by Demographics, you will gain a text field for selecting within what geo-zone you are targeting, and a dropdown for selecting the income bracket.
What defines the income levels? The brackets are approximate and change over time, but are roughly:
- Top 10%, above $146,001
- 11-20%, $131,001 to $146,000
- 21-30%, $111,001 to $131,000
- 31-40%, $96,001 to $111,000
- 41-50%, $64,001 to $96,000
- Lower 50%, $0 to $64,000
Be sure you have typed your target location into the "within field" and select the income bracket. Click the Add button. Continue to do this for the other income tiers and locations within this campaign. When complete, close this interface.
Because these estimated tieres are based on data from broad geo zones, it is recommended that you keep your location targeting broad as well. This type of targeting will likely perform best for national or regional targets when the target consumer is of a specific income range as a primary category.
This does not target individuals of any kind, merely locations where increased income is a countable, quantitative difference. Income-level data is typically public at the zip-code level at its most granular.
You will see the targeted income tiers within your target geographic locations just like you would normally see a target geo zone. Click save to return to your account.
Now you can apply bid adjustments to income brackets! You can use this to help gauge your ROAS if your target market is strongly correleated with higher income levels (or even with lower income levels).
If this was helpful to you, don't hesitate to share!