A few weeks ago, Google introduced the ability to target in search via household income. As a quick refresher, Google now contains the ability to layer household income targeting that is based off census data. The tiers are based off average household income data (publicly available data from the IRS). The top 50% are broken out into 10% buckets, with the bottom 50% all in one. Adding the targets into your account with 0% modifiers allows you to collect data on how groups behave without spending any extra money. We decided to add all the targets with a 0% modifier into one of our e-commerce accounts (see how to here) to see if there was a difference in performance between the different incomes, and here’s what we found!
1. ROAS and AOV performed pretty much exactly the way you’d expect: We saw that the ROAS and AOV increased as average HHI increased, with a big difference between the top tier and the next-highest. This makes sense as people who have a higher income will be more likely to buy more expensive things. Though our top tiers have less volume than our lower tiers, they are much more profitable and are worth bidding up.
2. CPCs increased as average HHI increased: Looking at the increase in average HHI, we can also see a corresponding increase in CPC. In this account in particular, we have enhanced CPC enabled (a Google feature that will increase your bid by up to 30% if it thinks you’ll have a better chance at converting), which indicates that Google’s bidding algorithm will bid these targets more aggressively. This means that if you have enhanced CPC or conversion optimizer enabled, chances are the algorithm is already increasing your bid based on this data.
Using the data, you can then add in an additional bid modifier to bid up profitable targets and bid down inefficient targets. In summary, everyone should at least add the targeting with a 0% modifier to collect data (especially in e-commerce accounts!) and add some bid modifiers if the opportunity presents itself. Good luck!