It seems almost too simple, but that’s why it’s often overlooked. One of the best ways to fill the the top of your sales funnel is to target ads at an audience that resembles your current customer base.
By building ‘lookalike’ or ‘similar’ audiences, you take the guesswork and uncertainty out of targeting. You know that you’re serving ads across multiple channels to customers who share the characteristics, interests, and affinities of your existing customers.
This sort of precise targeting matters all the more in an era of rapidly updating cookie policies, strict privacy settings, and anemic email open rates. Lookalike audiences help your signal cut through the noise, and they have become an essential tool in every digital marketers toolbox.
“iOS14 tracking changes have impacted pixel-based custom audiences, as users who opt out of tracking may not be collected in these audiences, reducing their overall size, potentially by a large amount,” said Ilyssa Bloch, an account director with Gupta Media. “Lookalike audiences are a great way to increase audience size by reaching people with similar attributes to your custom audiences.”
Lookalike audiences are a great way to increase audience size by reaching people with similar attributes to your custom audiences
These security measures impact those already utilizing lookalike audiences—which is why it’s all the more important to optimize how segments are built and the focus paid to first-party data.
“The focus should shift to building lookalikes with a larger seed audience and with more first party data,” said Connor Yap, an account manager with Metric Theory. “Given the privacy changes across ad platforms and iOS devices, we can expect tracked website audiences to decrease. This is resulting in lookalike lists based off of website custom audiences to underperform due to having smaller and less defined seed audiences. To counteract this we recommend companies shift to using more first-party data in order to keep audience sizes and quality strong.”
We recommend companies shift to using more first-party data in order to keep audience sizes and quality strong
Given all that, what are the best ways to optimize your lookalike audiences? Bloch and Yap offered a few tips:
Do you have experience with lookalike audiences or questions on how to use them? Post your thoughts on Twitter and let us know by using #JustOneClick
Want to learn more about first-party data and SSO commerce? Download Bolt’s Identity Powered Commerce report.