Lack of Scalable Google Ads Performance:
Despite multiple scaling attempts, the client was unable to improve Google Ads performance due to a poorly structured campaign and extensive inventory.
Incorrect Conversion Settings:
Conversions were set up incorrectly, assigning value to less meaningful metrics like page views.
Transitioning to Performance Max:
The client had no strategy to transition from Smart Shopping campaigns to Performance Max, causing further complications.
Conversion Optimization: Reviewed and set the right targets and values for all conversions.
Market & Keyword Research: Conducted extensive market and keyword research to align Google Ads with other marketing channels.
Budget Analysis: Analyzed budget distribution among all campaigns and products.
Campaign Segmentation: Split campaigns into product categories and performances, allowing for more precise bidding strategies.
Winner Testing: Introduced a “winner testing” campaign to identify high-performing products that were previously overlooked.
Branded Campaigns: Optimized branded campaigns by raising the target ROAS and fixing keyword matching, resulting in a 4x increase in ROAS.
Transition to Performance Max: Assisted the client in transitioning from Smart Shopping to Performance Max campaigns smoothly.
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