Placement Split Test is a feature that allows you to test between auto-selected placements (TikTok, Pangle) and manually chosen placements to determine optimal ad delivery locations. By default, the campaign will be selected for auto-placement, but you can choose manual or auto. The system will generate an auto-placement version from your manual placement ad group or campaign for A/B testing. We encourage you to test auto-placement versus manual or any other placement setting variations.
Placement Split Test is available for the following campaign types:
App Promotion
Lead Generation
Sales (Web catalog & Non-catalog/app/omni)
Campaign efficiency: Determine if a particular placement leads to a lower cost per click (CPC), cost per impression (CPM), or cost per acquisition (CPA).
Revenue impact: For sales-driven campaigns, split tests provide direct insights into which variables lead to higher conversion rates and ultimately, increased return on ad spend (ROAS).
Opportunity identification: Access valuable insights into user behavior, market trends, or unexpected interactions between variables. This can lead to new hypotheses for future testing and optimization.
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.