Using Customer Match and GA4 Audiences in Ads
Your own data is your most valuable asset. In this chapter, we'll cover how to leverage Customer Match and GA4 Audiences to create hyper-relevant campaigns that scale profitably and future-proof against privacy changes.
Key Points:
Customer Match lets you upload first-party data (emails, phone numbers, mailing addresses) into Google Ads. Google matches these with logged-in accounts, enabling you to retarget past customers, re-engage subscribers, or exclude existing buyers from acquisition campaigns.
Customer Match requirements: at least 1,000 matched users, data collected with consent, and properly formatted lists. Regular list refreshing improves performance.
GA4 audiences use real-time behavioral data (e.g., users who viewed a product, scrolled 75% of a page, or triggered a custom event). GA4 can also generate predictive audiences, such as "likely to purchase in the next 7 days."
Linking GA4 to Google Ads allows seamless audience syncing - no manual CSV uploads needed. This makes GA4 audiences highly dynamic and easier to manage.
Best practices include segmenting lists by lifecycle stage (prospects, warm leads, loyal customers), labeling clearly for reporting, and testing layered combinations (e.g., Customer Match + in-market audiences).
Always follow privacy and compliance rules - obtain consent, avoid sensitive categories, and stay aligned with GDPR/CCPA. Done right, first-party data is your competitive edge in a cookie-less world.
Дякуємо за ваш відгук!
Запитати АІ
Запитати АІ
Запитайте про що завгодно або спробуйте одне із запропонованих запитань, щоб почати наш чат
Can you explain the difference between Customer Match and GA4 audiences in more detail?
What are some examples of effective audience segments I could create?
How do I ensure my data collection and audience targeting are compliant with privacy regulations?
Awesome!
Completion rate improved to 2.63Using Customer Match and GA4 Audiences in Ads
Свайпніть щоб показати меню
Your own data is your most valuable asset. In this chapter, we'll cover how to leverage Customer Match and GA4 Audiences to create hyper-relevant campaigns that scale profitably and future-proof against privacy changes.
Key Points:
Customer Match lets you upload first-party data (emails, phone numbers, mailing addresses) into Google Ads. Google matches these with logged-in accounts, enabling you to retarget past customers, re-engage subscribers, or exclude existing buyers from acquisition campaigns.
Customer Match requirements: at least 1,000 matched users, data collected with consent, and properly formatted lists. Regular list refreshing improves performance.
GA4 audiences use real-time behavioral data (e.g., users who viewed a product, scrolled 75% of a page, or triggered a custom event). GA4 can also generate predictive audiences, such as "likely to purchase in the next 7 days."
Linking GA4 to Google Ads allows seamless audience syncing - no manual CSV uploads needed. This makes GA4 audiences highly dynamic and easier to manage.
Best practices include segmenting lists by lifecycle stage (prospects, warm leads, loyal customers), labeling clearly for reporting, and testing layered combinations (e.g., Customer Match + in-market audiences).
Always follow privacy and compliance rules - obtain consent, avoid sensitive categories, and stay aligned with GDPR/CCPA. Done right, first-party data is your competitive edge in a cookie-less world.
Дякуємо за ваш відгук!
