A/B-Tests für das Targeting sind eine Funktion für Smart+ 2.0-Kampagnen, mit der du Kampagnen mit unterschiedlichen Targeting-Einstellungen miteinander vergleichen kannst. Du kannst die Targeting-Einstellungen von Kampagne A mit denen von Kampagne B vergleichen. Für beide Kampagnen (A und B) kannst du das Targeting individuell anpassen.
Targeting Split Test is available for the following campaign types:
App Promotion
Lead Generation
Sales (Web catalog & Non-catalog/app/omni)
Precise audience segmentation: Identify which audience segments or targeting parameters yield the best results for more effective ad delivery.
Campaign efficiency: Determine if a particular targeting method leads to a lower cost per click (CPC), cost per impression (CPM), cost per acquisition (CPA), or any other KPIs.
Informed scaling decisions: With clear data on winning variations, you can scale successful strategies, allocate budget more effectively, and avoid wasting spend on underperforming campaigns.
Learn how to create an upgraded Smart+ campaign in TikTok Ads Manager.
Learn more about Split Testing in TikTok Ads Manager.