Google Case Study:

Large eCommerce Retailer

SEM Category Spend Optimization 

  • Advertiser challenged with optimizing a large Paid Search program in a highly competitive environment. 

  • Daily data reads and advanced analytics were used to develop Media Lift Curves for the targeted campaigns.

  • Advertiser pinpointed the optimum spend level for each campaign. 

SEM Yield Curve Experiment Design

Result:

Uncovered $200K Annual Marginal Profit

The Predictable Performance Advantage

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