Episode
How Google Ads Customer Match Boosts PPC Performance in 2026
- Published
- Jul 16, 2026
- Duration seconds
- 517
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/the-google-ads-podcast-with-fexingo-search-ads-display-and-ppc-campaign-strategy-7871644/episodes/how-google-ads-customer-match-boosts-ppc-performance-in-2026/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/the-google-ads-podcast-with-fexingo-search-ads-display-and-ppc-campaign-strategy-7871644/how-google-ads-customer-match-boosts-ppc-performance-in-2026.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
In this episode of The Google Ads Podcast with Fexingo, Lucas and Luna dive into Google Ads Customer Match — the targeting feature that lets advertisers upload their own customer email lists to reach existing customers and find lookalike audiences. They break down how a mid-sized e-commerce brand used Customer Match to reduce cost-per-acquisition by 23% and increase repeat purchase rate by 18% over three months. Lucas explains the setup process, including hashing requirements and list freshness, while Luna questions whether the feature works for smaller lists. They also discuss the privacy landscape in 2026, with cookie deprecation and signal loss making first-party data more valuable than ever. If you're running Google Ads and wondering how to leverage your customer data for better targeting and lower costs, this episode gives you a concrete playbook. No fluff, just actionable strategy. #CustomerMatch #GoogleAds #PPC #FirstPartyData #Ecommerce #AudienceTargeting #LookalikeAudiences #CPAOptimization #DataPrivacy #SignalLoss #CookieDeprecation #AdStrategy #MarketingPodcast #DigitalMarketing #FexingoBusiness #BusinessPodcast #GoogleAdsPodcast #PaidSearch Keep every episode free: buymeacoffee.com/fexingo