What are lookalike audiences?
The only thing better than converting high-LTV customers is finding more like them. With lookalike audiences, you can create a microcosm of people who share specific characteristics with your existing customer base. From there, you can craft messages to those valuable targets, and in the best circumstances, acquire new customers.
Lookalike audiences can be used for a variety of marketing objectives, such as:
How do lookalike audiences work?
A variety of data points go into the creation of lookalike audiences. Demographics, interests, online behaviors, purchase history, or engagement with a brand's website or social media content tend to be the primary ingredients. Once that mix is established, machine learning algorithms are deployed to ferret our patterns and similarities among the target group. Based on this analysis, the platform can then find and target a larger pool of people who exhibit similar traits to the original audience.
Types of lookalike audiences:
There are two main types of lookalike audiences:
How to measure lookalike audiences:
Why are lookalike audiences important to marketers?
The ability to reach the “right amount” of the “right people” who reflect a brand’s wider existing customer target is the height of marketing efficiency and effectiveness. Marketers who use lookalike audiences can be more confident that their ads and content will reach relevant consumers, which then produces higher engagement and conversion rates.
Who needs to know what lookalike audiences are:
Use lookalike audiences in a sentence: “Our retargeting efforts are under pressure from cookie depreciation, but thanks to our partner program with a group of vertical publishers, we were able to assemble lookalike audiences that nailed the target demographic and led to higher sales last quarter.”