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How Google Ads Customer Match Targets Known Audiences
Description
In this episode of The Google Ads Podcast with Fexingo, Lucas and Luna dive into Google Ads Customer Match—the targeting feature that lets you upload your own customer data (email, phone, or address) to reach known users across Search, Shopping, YouTube, and Gmail. Lucas breaks down the mechanics: how to prepare a clean first-party list, the match rate you should expect in mid-2026 (about 60-70% for email lists), and why audience signals alone won't cut it for high-LTV customer reactivation. He shares a real example from a mid-market e-commerce brand that used Customer Match to drive a 4x return on ad spend for a VIP upsell campaign. Luna asks the hard questions: what about privacy compliance, list freshness, and the risk of advertising to your own existing buyers? They discuss the importance of excluding current customers when running acquisition campaigns, and how to segment lists by lifetime value. The episode ends with a forward-looking question about how Customer Match will evolve as third-party cookies fade. A perfect listen for PPC managers looking to leverage their CRM data more strategically.