How to build lookalike audiences in Twitter Ads unlocks a proven method for scaling reach beyond your current customer base while maintaining strong conversion signals. Many performance marketers rely on conversion audiences alone, missing the opportunity to find new high-intent users who share behavioral and demographic traits with proven buyers. This guide walks through sourcing quality seed audiences, configuring Twitter's similarity matching parameters, and validating audience composition before launch. The process takes advantage of Twitter's algorithmic matching to identify users most likely to convert based on established customer patterns. If you're managing multiple campaigns or testing new market segments, mastering this approach directly impacts your ability to find fresh prospects without inflating cost per acquisition.