Phase 1:
Initial Optimization with Defensive Day-Parting:
Urtasker began by implementing a defensive day-parting strategy to create a clear, unified portfolio of Sponsored Products campaigns.
Action:
Consolidated all SP campaigns under a single portfolio.
Goal:
Establish a simplified, manageable campaign structure that would allow for precise control and easier monitoring.
Outcome: By focusing solely on portfolio structuring without additional campaign changes, this initial phase created a strong framework for deeper optimization.
Phase 2:
Advanced Campaign-Level Day-Parting and Product Targeting:
In the second phase, Urtasker focused on detailed optimizations, prioritizing high-spend campaigns to ensure that the largest portions of the client’s budget delivered maximum ROI. AI-driven insights were leveraged for hyper-targeted Product Targeting campaigns.
Day-Parting Optimization:
Day-parting was adjusted at the individual campaign level, with high-spend campaigns prioritized to ensure efficient budget allocation during peak traffic hours.
Product Targeting Campaigns: Urtasker introduced Product Targeting campaigns based on AI-recommended targets for each ASIN, tailoring ad placements to reach potential customers interested in related or complementary products.
Goal:
This phase aimed to improve targeting accuracy, elevate ad performance, and increase conversion rates by allocating spend strategically based on performance insights.